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ORCIDCoRR, December 2019
- Nurettin Turan, Wolfgang Utschick:
Reproducible Evaluation of Neural Network Based Channel Estimators And Predictors Using A Generic Dataset. - (Withdrawn) Randpay: The Technology for Blockchain Micropayments and Transactions Which Require Recipient's Consent.
- Shiyuan Li:
MSTDP: A More Biologically Plausible Learning. - Flavio Ferrarotti, Senén González, Klaus-Dieter Schewe, José Maria Turull Torres:
A Restricted Second-Order Logic for Non-deterministic Poly-Logarithmic Time. - Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Heuristic Strategies in Uncertain Approval Voting Environments. - Rob Arthan, Paulo Oliva:
Negative Translations for Affine and Lukasiewicz Logic. - Deniz Ekiz, Yekta Said Can, Cem Ersoy:
Long Short-Term Network Based Unobtrusive Perceived Workload Monitoring with Consumer Grade Smartwatches in the Wild. - Tinghao Zhang, Jingxu Li, Jingfeng Li, Ling Wang, Feng Li, Jie Liu:
Model Embedded DRL for Intelligent Greenhouse Control. - Shuowen Zhang, Rui Zhang:
Radio Map Based 3D Path Planning for Cellular-Connected UAV. - Angela Dai, Christian Diller, Matthias Nießner:
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans. - Chandan Pradhan, Ang Li, Lingyang Song, Branka Vucetic, Yonghui Li:
Hybrid Precoding Design for Reconfigurable Intelligent Surface aided mmWave Communication Systems. - Christina Winkler, Daniel E. Worrall, Emiel Hoogeboom, Max Welling:
Learning Likelihoods with Conditional Normalizing Flows. - Serguei Barannikov
, Alexander Korotin, Dmitry Oganesyan, Daniil Emtsev, Evgeny Burnaev:
Barcodes as summary of objective function's topology. - (Withdrawn) An HLL Riemann solver for the hybridised discontinuous Galerkin formulation of compressible flows.
- Jonnatan Arroyo, Ramiro Velazquez:
Mechanism for Embossing Braille Characters on Paper: Conceptual Design. - Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein:
Square Attack: a query-efficient black-box adversarial attack via random search. - Grigorios Loukides, George Theodorakopoulos:
Location histogram privacy by sensitive location hiding and target histogram avoidance/resemblance (extended version). - Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu:
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks. - Vishwanath A. Sindagi, Poojan Oza, Rajeev Yasarla, Vishal M. Patel:
Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions. - Kyriakos Polymenakos, Luca Laurenti, Andrea Patane, Jan-Peter Calliess, Luca Cardelli, Marta Kwiatkowska, Alessandro Abate, Stephen J. Roberts:
Safety Guarantees for Planning Based on Iterative Gaussian Processes. - Pin Wang, Hanhan Li, Ching-Yao Chan:
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles. - Zicong Fan, Si Yi Meng, Leonid Sigal, James J. Little:
OptiBox: Breaking the Limits of Proposals for Visual Grounding. - Itay Mosafi, Eli David, Nathan S. Netanyahu:
DeepMimic: Mentor-Student Unlabeled Data Based Training. - Dario Frascaria, Neil Olver:
Algorithms for flows over time with scheduling costs. - Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
Learning Perceptual Inference by Contrasting. - Stefano Siccardi, Andrew Adamatzky, Jack A. Tuszynski, Florian Huber, Jörg Schnauß:
Actin Networks Voltage Circuits. - Peng Yin, Jianing Qian, Yibo Cao, David Held, Howie Choset:
FusionMapping: Learning Depth Prediction with Monocular Images and 2D Laser Scans. - Hideki Ochiai, Patrick Mitran, H. Vincent Poor:
Capacity-Approaching Polar Codes with Long Codewords and Successive Cancellation Decoding Based on Improved Gaussian Approximation. - Thomas Bosman, Neil Olver:
Improved Approximation Algorithms for Inventory Problems. - Siming Ma, David Brooks, Gu-Yeon Wei:
A binary-activation, multi-level weight RNN and training algorithm for processing-in-memory inference with eNVM. - Xinyang Deng:
Belief and plausibility measures for D numbers. - Xuewen Shi, Heyan Huang, Shuyang Zhao, Ping Jian, Yi-Kun Tang:
Tag Recommendation by Word-Level Tag Sequence Modeling. - (Withdrawn) Validation of Automatically Generated Patches: An Appetizer.
- Matthew Shunshi Zhang, Bradly C. Stadie:
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation. - Jihyeon Janel Lee, Sho Arora:
A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop. - Md. Hasibur Rahman, Chowdhury Rafeed Rahman, Ruhul Amin, Md. Habibur Rahman Sifat, Afra Anika:
A Hybrid Approach Towards Two Stage Bengali Question Classification Utilizing Smart Data Balancing Technique. - Kallista A. Bonawitz, Fariborz Salehi, Jakub Konecný, Brendan McMahan, Marco Gruteser:
Federated Learning with Autotuned Communication-Efficient Secure Aggregation. - Rafaela C. Nascimento, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra:
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting. - Yannick Wend Kuni Zoetgnandé, Geoffroy Cormier, Alain-Jérôme Fougères, Jean-Louis Dillenseger:
Sub-pixel matching method for low-resolution thermal stereo images. - Christian Marzahl, Marc Aubreville, Christof A. Bertram, Stefan Gerlach, Jennifer Maier, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas K. Maier:
Fooling the Crowd with Deep Learning-based Methods. - Siddhartha Jain:
Inapproximability of Additive Weak Contraction under SSEH and Strong UGC. - Huangxing Lin, Weihong Zeng, Xinghao Ding, Yue Huang, Chenxi Huang, John W. Paisley:
Learning Rate Dropout. - Biao Zhang, Peter Wonka:
Point Cloud Instance Segmentation using Probabilistic Embeddings. - Ishaan Lodha, Lakshana Kolur, K. Sree Hari, Honnavalli Prasad:
Secure Wireless Internet of Things Communication using Virtual Private Networks. - Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu:
Integrating Graph Contextualized Knowledge into Pre-trained Language Models. - Muhammet Abdullah Soytürk, Konstantinos Parasyris, Behzad Salami, Osman S. Unsal, Gulay Yalcin, Leonardo Bautista-Gomez:
Hardware Versus Software Fault Injection of Modern Undervolted SRAMs. - Jie Qiao, Zijian Li, Boyan Xu, Ruichu Cai, Kun Zhang:
Disentanglement Challenge: From Regularization to Reconstruction. - Shady Abu Hussein, Tom Tirer, Raja Giryes:
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. - Lucy Linder, Michael Jungo, Jean Hennebert, Claudiu Musat, Andreas Fischer:
Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German. - Gaurav Sinha, Ayush Chauhan, Aurghya Maiti, Naman Poddar, Pulkit Goel:
Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations. - Ramadan Abdul-Rashid:
An Energy Efficient Distributed Gossip Algorithm for Wireless Sensor Networks based on a Randomized Markovian Duty-Cycling. - Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica:
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. - Xiyuan Liu, Li Qiu:
Bird Flocking Inspired Control Strategy for Multi-UAV Collective Motion. - Nadia Labai, Tomer Kotek, Magdalena Ortiz, Helmut Veith:
Pebble-Intervals Automata and FO2 with Two Orders (Extended Version). - Anton Kolonin:
Generalized Reputation Computation Ontology and Temporal Graph Architecture. - Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall:
Urban Driving with Conditional Imitation Learning. - Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu:
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. - Anton Kolonin:
Latent Semantic Search and Information Extraction Architecture. - Yang Song, Qiyu Kang, Wee Peng Tay:
Error-Correcting Neural Network. - Isac Arnekvist, Dmytro Kalpakchi:
[Re] Learning to Learn By Self-Critique. - Paulo José Fernandes Almeida, Julia Lieb:
Constructions of (2, 1, 2) complete j-MDP convolutional codes. - Ramadan Abdul-Rashid, Basit Olakunle Alawode:
Robustness Evaluation of the Butterfly Optimization Algorithm on a Control System. - Mohsen Tajallifar, Sina Ebrahimi, Mohammad Reza Javan, Nader Mokari, Luca Chiaraviglio:
QoS-Aware Joint Power Allocation and Task Offloading in a MEC/NFV-enabled C-RAN Network. - Shi-Gui Yang, Yuan-Yuan Wang, Di Liu, Xu Jiang, Hui Fang, Yu Yang, Mingxiong Zhao:
ReLeTA: Reinforcement Learning for Thermal-Aware Task Allocation on Multicore. - Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou:
Learning Driving Decisions by Imitating Drivers' Control Behaviors. - Sina Ebrahimi, Abulfazl Zakeri, Behzad Akbari, Nader Mokari:
Joint Resource and Admission Management for Slice-enabled Networks. - Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem:
SGAS: Sequential Greedy Architecture Search. - Andrei B. Bogatyrev:
Projective view at Optimization Problem for Multiband Filter. - Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi:
Pruning at a Glance: Global Neural Pruning for Model Compression. - Zhimin Yuan, Jialin Peng:
EM-NET: Centerline-Aware Mitochondria Segmentation in EM Images via Hierarchical View-Ensemble Convolutional Network. - Mingtao Feng, Syed Zulqarnain Gilani, Yaonan Wang, Liang Zhang, Ajmal Mian:
Relation Graph Network for 3D Object Detection in Point Clouds. - Joachim von zur Gathen, Mark Giesbrecht, Konstantin Ziegler:
Counting invariant subspaces and decompositions of additive polynomials. - Cinjon Resnick, Zeping Zhan, Joan Bruna:
Probing the State of the Art: A Critical Look at Visual Representation Evaluation. - Christos N. Efrem, Athanasios D. Panagopoulos:
Energy Efficiency Optimization: A New Trade-off Between Fairness and Total System Performance. - Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu:
Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare. - Emil Pricop, Sanda Florentina Mihalache:
Fuzzy approach on modelling cyber attacks patterns on data transfer in industrial control systems. - Fernando Alegre, John Underwoood, Juana Moreno, Mario Alegre:
Introduction to Computational Thinking: a new high school curriculum using CodeWorld. - Edoardo Galimberti, Chiara Madeddu, Francesco Bonchi, Giancarlo Ruffo:
Visualizing structural balance in signed networks. - Charlotte Rochereau, Benoît Sagot, Emmanuel Dupoux:
Modeling German Verb Argument Structures: LSTMs vs. Humans. - Christian Schulz:
Scalable Graph Algorithms. - Brian Swenson, H. Vincent Poor:
Smooth Fictitious Play in N×2 Potential Games. - Ngai Meng Kou, Cheng Peng, Hang Ma, T. K. Satish Kumar, Sven Koenig:
Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers. - Amnon Geifman, Yoni Kasten, Meirav Galun, Ronen Basri:
Averaging Essential and Fundamental Matrices in Collinear Camera Settings. - Junfeng Ding, Chen Wang, Cewu Lu:
Transferable Force-Torque Dynamics Model for Peg-in-hole Task. - Chenglong Fu, Qiang Zeng, Xiaojiang Du:
Towards Efficient Integration of Blockchain for IoT Security: The Case Study of IoT Remote Access. - Yipeng Li, Qiao Chen, Xuebin Wang, Xiangmin Jiao:
WLS-ENO Remap: Superconvergent and Non-Oscillatory Weighted Least Squares Data Transfer on Surfaces. - Shervin Minaee, AmirAli Abdolrashidi, Hang Su, Mohammed Bennamoun, David Zhang:
Biometric Recognition Using Deep Learning: A Survey. - Guangmo Tong, Ruiqi Wang, Zheng Dong:
On Multi-Cascade Influence Maximization: Model, Hardness and Algorithmic Framework. - Minghua Liu, Lu Sheng, Sheng Yang, Jing Shao, Shi-Min Hu:
Morphing and Sampling Network for Dense Point Cloud Completion. - Jack H. Lutz, Neil Lutz:
Who Asked Us? How the Theory of Computing Answers Questions about Analysis. - Alexey Svyatkovskiy, Julian Kates-Harbeck, William Tang:
Training Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters. - Muntadher Sallal, Steve A. Schneider, Matthew Casey, Constantin Catalin Dragan, François Dupressoir, Luke Riley, Helen Treharne, Joe Wadsworth, Phil Wright:
VMV: Augmenting an Internet Voting System with Selene Verifiability. - Edward Kim, Divya Gopinath, Corina S. Pasareanu, Sanjit A. Seshia:
A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors. - Yue Zhao, Maciej K. Hryniewicki:
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning. - Prabu Ravindran, Emmanuel Ebanyenle, Alberta Asi Ebeheakey, Kofi Bonsu Abban, Ophilious Lambog, Richard Soares, Adriana Costa, Alex C. Wiedenhoeft:
Image Based Identification of Ghanaian Timbers Using the XyloTron: Opportunities, Risks and Challenges. - Han Zhang, Hong Xu:
MANELA: A Multi-Agent Algorithm for Learning Network Embeddings. - Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang:
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition. - Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral, Priyatham Bollimpalli:
Learning to Relate from Captions and Bounding Boxes. - Eric Deng, Bilge Mutlu, Maja J. Mataric:
Embodiment in Socially Interactive Robots. - Xiao Zhang, Manish Marwah, I-Ta Lee, Martin F. Arlitt, Dan Goldwasser:
An Anomaly Contribution Explainer for Cyber-Security Applications. - Yuchen Guo, Nicholas Hanoian, Zhexiao Lin, Nicholas Liskij, Hanbaek Lyu, Deanna Needell, Jiahao Qu, Henry Sojico, Yuliang Wang, Zhe Xiong, Zhenhong Zou:
Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization. - Daniel Votipka, Seth M. Rabin, Kristopher K. Micinski, Jeffrey S. Foster, Michelle L. Mazurek:
An Observational Investigation of Reverse Engineers' Processes. - Wen Zhang, Dongrui Wu:
Transferability versus Discriminability: Joint Probability Distribution Adaptation (JPDA). - Bo Li, Jie Feng, Bingfeng Zhou:
A SVBRDF Modeling Pipeline using Pixel Clustering. - Vinayak Mathur, Jinesh Mehta, Sanjay Singh:
HCA-DBSCAN: HyperCube Accelerated Density Based Spatial Clustering for Applications with Noise. - Yuan Xiao, Yinqian Zhang, Radu Teodorescu:
SPEECHMINER: A Framework for Investigating and Measuring Speculative Execution Vulnerabilities. - Zhaoyuan Gu, Zhenzhong Jia, Howie Choset:
Adversary A3C for Robust Reinforcement Learning. - Lisai Zhang, Qingcai Chen, Dongfang Li, Buzhou Tang:
Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework. - Santosh Mohan Rajkumar, Sayan Chakraborty, Rajeeb Dey:
Development of Embedded Speed Control System for DC Servo Motor using Wireless Communication. - Won-Ik Cho, Young Ki Moon, Sangwhan Moon, Seok Min Kim, Nam Soo Kim:
Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives. - Santosh Mohan Rajkumar, Sayan Chakraborty, Rajeeb Dey, Dipankar Deb:
Online Delay Estimation and Adaptive Compensation in Wireless Networked System: An Embedded Control Design. - Lanqing Xue, Xiaopeng Li, Nevin L. Zhang:
Not All Attention Is Needed: Gated Attention Network for Sequence Data. - Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen:
Online Knowledge Distillation with Diverse Peers. - Pulkit Sharma, Farah E. Shamout, David A. Clifton:
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality. - Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size. - Shir Gur, Tal Shaharabany, Lior Wolf:
End to End Trainable Active Contours via Differentiable Rendering. - Roger K. Moore:
Talking with Robots: Opportunities and Challenges. - Mahdi Abolghasemi, Rob J. Hyndman, Garth Tarr, Christoph Bergmeir:
Machine learning applications in time series hierarchical forecasting. - Junhong Kim, Doo-Hyun Cho, Jaemyung Ahn, Han-Lim Choi:
Task Scheduling of Multiple Agile Satellites with Transition Time and Stereo Imaging Constraints. - Min Ren, Yunlong Wang, Zhenan Sun, Tieniu Tan:
Dynamic Graph Representation for Partially Occluded Biometrics. - Yiru Wang, Pengda Si, Zeyang Lei, Guangxu Xun, Yujiu Yang:
HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation. - Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz:
Gate-Shift Networks for Video Action Recognition. - Min Ren, Caiyong Wang, Yunlong Wang, Zhenan Sun, Tieniu Tan:
Alignment Free and Distortion Robust Iris Recognition. - Zhaohui Yang, Miaojing Shi, Yannis Avrithis, Chao Xu, Vittorio Ferrari:
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images. - Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss for Deep Metric Learning. - Hayoung Um, Heeyoul Choi:
Active Search for Nearest Neighbors. - Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng, Xiangdong Hu:
An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis. - Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Qing Yin, Ou Wu:
Deep Human Answer Understanding for Natural Reverse QA. - Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng:
Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network. - Dean Zadok, Daniel McDuff, Ashish Kapoor:
Affect-based Intrinsic Rewards for Learning General Representations. - Zhiyao Tang, Liang Sun, Lu Cao, Shutong Qi, Yong Feng:
Reconsidering Design of Multi-Antenna NOMA Systems with Limited Feedback. - Stefano Buzzi, Carmen D'Andrea, Marco Lops:
Using Massive MIMO Arrays for Joint Communication and Sensing. - Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky:
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification. - David Reiser, Volker Nannen, Gero Hubel, Hans W. Griepentrog:
Design, modelling and control of a novel agricultural robot with interlock drive system. - Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox:
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. - Biao Qian, Yang Wang, Zhao Zhang, Richang Hong, Meng Wang, Ling Shao:
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition. - Daniel Cotter, Vernon K. Cody Bumgardner:
Semantic Enrichment of Streaming Healthcare Data. - Yang Li:
Area Queries Based on Voronoi Diagrams. - Qiuxiang Zhong, Ke Yin, Yuping Duan:
Image Reconstruction via Discrete Curvatures. - Jyoti Prakash, Abhishek Tiwari, Christian Hammer:
PointEval: On the Impact of Pointer Analysis Frameworks. - Mohamed Ramzy, Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani:
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving. - Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer:
DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. - Faen Zhang, Xinyu Fan, Wenfeng Zhou, Pengcheng Zhou:
PACLP: a fine-grained partition-based access control policy language for provenance. - Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, Yoshua Bengio:
Automated curriculum generation for Policy Gradients from Demonstrations. - Faen Zhang, Xinyu Fan, Wenfeng Zhou, Pengcheng Zhou:
Purpose-based access policy on provenance and data algebra. - Faen Zhang, Xinyu Fan, Pengcheng Zhou, Wenfeng Zhou:
Zero knowledge proofs for cloud storage integrity checking. - Naveen Mohan, Martin Törngren:
AD-EYE: A Co-simulation Platform for Early Verification of Functional Safety Concepts. - Mohammad Ghasem Kazemi, Mohsen Montazeri:
A Novel Robust Fault Detection Scheme of Lipschitz Nonlinear Systems Using Combination of Bond Graph and Observer. - Ebrahim Badrestani, Behnam Bahrak, Ali Elahi, Adib Faramarzi, Pouria Golshanrad, Amin Karimi Monsefi, Hamid Mahini, Armin Zirak:
Real-time Travel Time Estimation Using Matrix Factorization. - Erel Segal-Halevi:
Fair Division with Bounded Sharing. - Abdullah Hamdi, Sara Rojas, Ali K. Thabet, Bernard Ghanem:
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds. - Vivek Deulkar, Jayakrishnan Nair, Ankur A. Kulkarni:
Statistical Economies of Scale in Battery Sharing. - Ivan Smirnov:
Generalizable prediction of academic performance from short texts on social media. - Lin Gong, Lu Lin, Weihao Song, Hongning Wang:
JNET: Learning User Representations via Joint Network Embedding and Topic Embedding. - Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy:
A Method for Computing Class-wise Universal Adversarial Perturbations. - Ali Bereyhi, Vahid Jamali, Ralf R. Müller, Georg Fischer, Robert Schober, Antonia M. Tulino:
PAPR-Limited Precoding in Massive MIMO Systems with Reflect- and Transmit-Array Antennas. - Saba Asaad, Ali Bereyhi, Ralf R. Müller, Rafael F. Schaefer:
Secure Regularized Zero Forcing for Multiuser MIMOME Channels. - Neil Lindquist:
Replicated Computational Results (RCR) Report for "Code Generation for Generally Mapped Finite Elements". - Hardik Kothari, Rolf Krause:
A Multigrid Method for a Nitsche-based Extended Finite Element Method. - Himangi Mittal, Brian Okorn, David Held:
Just Go with the Flow: Self-Supervised Scene Flow Estimation. - Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher:
Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents. - Himangi Mittal, Ajith Abraham, Anuja Arora:
Interpreting Context of Images using Scene Graphs. - Jacek Szybowski, Konrad Kulakowski, Anna Prusak:
New inconsistency indicators for incomplete pairwise comparisons matrices. - Chang Li, Haoyun Feng, Maarten de Rijke:
A Contextual-Bandit Approach to Online Learning to Rank for Relevance and Diversity. - Matheus Werner, Eduardo Sany Laber:
Speeding up Word Mover's Distance and its variants via properties of distances between embeddings. - Saieed Akbari, Hossein Baktash, Amin Behjati, Afshin Behmaram, Mohammad Roghani:
Some Results on Dominating Induced Matchings. - Ugur Kursuncu, Manas Gaur, Amit P. Sheth:
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. - Kai Yang, Tao Fan, Tianjian Chen, Yuanming Shi, Qiang Yang:
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression. - Jayanta Dey, Mohammad Ariful Haque:
Location Forensics of Media Recordings Utilizing Cascaded SVM and Pole-matching Classifiers. - Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin:
Adaptive Divergence for Rapid Adversarial Optimization. - Niladri S. Chatterji, Behnam Neyshabur, Hanie Sedghi:
The intriguing role of module criticality in the generalization of deep networks. - Marion Maisonobe:
The future of urban models in the Big Data and AI era: a bibliometric analysis (2000-2019). - Leonardo Babun, Hidayet Aksu, A. Selcuk Uluagac:
A System-level Behavioral Detection Framework for Compromised CPS Devices: Smart-Grid Case. - Susanna F. de Rezende, Jakob Nordström, Kilian Risse, Dmitry Sokolov:
Exponential Resolution Lower Bounds for Weak Pigeonhole Principle and Perfect Matching Formulas over Sparse Graphs. - Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei:
Deep Learning for Visual Tracking: A Comprehensive Survey. - Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine:
Gaussian Embedding of Large-scale Attributed Graphs. - San Gultekin, John W. Paisley:
Risk Bounds for Low Cost Bipartite Ranking. - Aditya Kashi, Siva Nadarajah:
An asynchronous incomplete block LU preconditioner for computational fluid dynamics on unstructured grids. - Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang:
Multi-Scale Self-Attention for Text Classification. - Koya Sakakibara, Yuto Miyatake:
A fully discrete curve-shortening polygonal evolution law for moving boundary problems. - Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito:
Large-scale text processing pipeline with Apache Spark. - Vatche Ishakian, Azer Bestavros, Assaf J. Kfoury:
MORPHOSYS: Efficient Colocation of QoS-Constrained Workloads in the Cloud. - Yang Ye, Shihao Ji:
Sparse Graph Attention Networks. - Hiroyasu Ando, Hanten Chang:
Road traffic reservoir computing. - Jingwei Hu, Ruiwen Shu:
On the uniform accuracy of implicit-explicit backward differentiation formulas (IMEX-BDF) for stiff hyperbolic relaxation systems and kinetic equations. - Hossein Rastgoftar, Ella M. Atkins:
An Integrative Data-Driven Physics-Inspired Approach to Traffic Congestion Control. - Tao Wang, Shaohui Kuang, Deyi Xiong, António Branco:
Merging External Bilingual Pairs into Neural Machine Translation. - Kecheng Zheng, Zheng-Jun Zha, Wei Wei:
Abstract Reasoning with Distracting Features. - Jianfeng Zhan, Lei Wang, Wanling Gao, Rui Ren:
BenchCouncil's View on Benchmarking AI and Other Emerging Workloads. - Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel:
Fastened CROWN: Tightened Neural Network Robustness Certificates. - Chhavi Dhiman, Dinesh Kumar Vishwakarma, Paras Aggarwal:
Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues. - Shruti Bhargava, David A. Forsyth:
Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models. - Peng Yang, Xing Xi, Tony Q. S. Quek, Jingxuan Chen, Xianbin Cao, Dapeng Oliver Wu:
How Should I Orchestrate Resources of My Slices for Bursty URLLC Service Provision? - Pulkit A. Misra, Jeffrey S. Chase, Johannes Gehrke, Alvin R. Lebeck:
Multi-version Indexing in Flash-based Key-Value Stores. - William Paul Boyce, Tony Lindsay, Arkady Zgonnikov, Ignacio Rañó, KongFatt Wong-Lin:
Optimality and limitations of audio-visual integration for cognitive systems. - Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman:
BLiMP: A Benchmark of Linguistic Minimal Pairs for English. - YeongHyeon Park, Won Seok Park, Yeong Beom Kim, Seok Woong Chang:
Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network. - Cong Thanh Nguyen, Paul D. Walker, Nong Zhang:
Beneficial Investigation of Extended-Range Electric Powertrains with Dual Motor Input and Automated Manual Transmission. - Shuang Song, David Berthelot, Afshin Rostamizadeh:
Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels. - G. Sai Sesha Chalapathi, Vinay Chamola, Aabhaas Vaish, Rajkumar Buyya:
Industrial Internet of Things (IIoT) Applications of Edge and Fog Computing: A Review and Future Directions. - Samuel W. F. Earp, Pavit Noinongyao, Justin A. Cairns, Ankush Ganguly:
Face Detection with Feature Pyramids and Landmarks. - (Withdrawn) SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking.
- Meng Qiao, Zheng Shan, Fudong Liu, Wenjie Sun:
A Fast Matrix-Completion-Based Approach for Recommendation Systems. - Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen, Jianzhong Li, Hong Gao:
ExperienceThinking: Hyperparameter Optimization with Budget Constraints. - Zehui Meng, Qi Heng Ho, Zefan Huang, Hongliang Guo, Marcelo H. Ang Jr., Daniela Rus:
Online Multi-Target Tracking for Maneuvering Vehicles in Dynamic Road Context. - Sivan Doveh, Raja Giryes:
DEGAS: Differentiable Efficient Generator Search. - Yabing Zhu, Yanfeng Zhang, Huili Yang, Fangjing Wang:
GANCoder: An Automatic Natural Language-to-Programming Language Translation Approach based on GAN. - Frank Nielsen:
On a generalization of the Jensen-Shannon divergence. - Taihei Oki:
A Generalized Matrix-Tree Theorem for Pfaffian Pairs. - Xiaohan Yu, Yang Zhao, Yongsheng Gao, Shengwu Xiong, Xiaohui Yuan:
Patchy Image Structure Classification Using Multi-Orientation Region Transform. - Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann:
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. - Qiuxiang Zhong, Ryan Wen Liu, Yuping Duan:
Spatially Adapted First and Second Order Regularization for Image Reconstruction: From an Image Surface Perspective. - Ryu Hasegawa:
A categorical reduction system for linear logic. - Ziming Liu, Guangyu Gao, Lin Sun:
IPG-Net: Image Pyramid Guidance Network for Object Detection. - Chenguang Wang:
Meta-Path Constrained Random Walk Inference for Large-Scale Heterogeneous Information Networks. - Yongrae Jo, Chanik Park:
BlockLot: Blockchain based Verifiable Lottery. - Sukavanan Nanjundan, Shreeviknesh Sankaran, C. R. Arjun, G. Paavai Anand:
Identifying the number of clusters for K-Means: A hypersphere density based approach. - Ayush Jaiswal, Rob Brekelmans, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan:
Discovery and Separation of Features for Invariant Representation Learning. - Claudio Gambella, Julien Monteil, Anton Dekusar, Sergio Cabrero Barros, Andrea Simonetto, Yassine Lassoued:
A city-scale IoT-enabled ridesharing platform. - Jungwoo Pyo, Joohyun Lee, Youngjune Park, Tien-Cuong Bui, Sang-Kyun Cha:
An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios. - Chunlin Ji, Haige Shen:
Stochastic Variational Inference via Upper Bound. - Malte Bonart, Anastasiia Samokhina, Gernot Heisenberg, Philipp Schaer:
An Investigation of Biases in Web Search Engine Query Suggestions. - Anup Bhattacharya, Jan Eube, Heiko Röglin, Melanie Schmidt:
Noisy, Greedy and Not So Greedy k-means++. - Yanlin Qian, Alan Lukezic, Matej Kristan, Joni-Kristian Kämäräinen, Jiri Matas:
DAL - A Deep Depth-aware Long-term Tracker. - Javier Fernandez-Anakabe, Ekhi Zugasti Uriguen, Urko Zurutuza Ortega:
An Attribute Oriented Induction based Methodology for Data Driven Predictive Maintenance. - Igor Janiszewski, Dmitry Slugin, Vladimir V. Arlazarov:
Training the Convolutional Neural Network with Statistical Dependence of the Response on the Input Data Distortion. - Jose A. Ordonez-Lucena, Jesús Folgueira Chavarria, Luis M. Contreras, Antonio Pastor:
The use of 5G Non-Public Networks to support Industry 4.0 scenarios. - Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux:
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection. - Wenwu Qu, Xiaoyu Chi, Wei Zheng:
KRM-based Dialogue Management. - Vera Traub, Jens Vygen:
An improved approximation algorithm for ATSP. - Henry Howard-Jenkins, Yiwen Li, Victor Adrian Prisacariu:
GroSS: Group-Size Series Decomposition for Whole Search-Space Training. - Casper Boone, Niels de Bruin, Arjan Langerak, Fabian Stelmach:
DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context. - Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet:
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. - Benjamin Clavié, Kobi Gal:
EduBERT: Pretrained Deep Language Models for Learning Analytics. - Hongshan Li, Zhongyi Huang:
Artificial boundary method for the solution of pricing European options under the Heston model. - Vitor Hugo Mickus Rodrigues, Lucas Cavalcante, Maelso Bruno Pereira, Fabio Luporini, István Z. Reguly, Gerard Gorman, Samuel Xavier de Souza:
GPU Support for Automatic Generation of Finite-Differences Stencil Kernels. - Alberto Carelli, Cataldo Basile, Alessandro Savino, Alessandro Vallero, Stefano Di Carlo:
Securing Soft IP Cores in FPGA based Reconfigurable Mobile Heterogeneous Systems. - Yuri Safovich, Amos Azaria:
Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling. - Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. - Craig Costello, Benjamin Smith:
The supersingular isogeny problem in genus 2 and beyond. - Ruth Schöbel, Robert Speck:
PFASST-ER: Combining the Parallel Full Approximation Scheme in Space and Time with parallelization across the method. - Roman Feldbauer, Thomas Rattei, Arthur Flexer:
scikit-hubness: Hubness Reduction and Approximate Neighbor Search. - Ángel Martínez-González, Michael Villamizar, Olivier Canévet, Jean-Marc Odobez:
Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation. - Neville Kenneth Kitson, Anthony C. Constantinou:
Learning Bayesian networks from demographic and health survey data. - Jaroslaw Byrka, Mateusz Lewandowski, Syed Mohammad Meesum, Joachim Spoerhase, Sumedha Uniyal:
PTAS for Steiner Tree on Map Graphs. - Johan Östman, Alejandro Lancho, Giuseppe Durisi:
Short-Packet Transmission over a Bidirectional Massive MIMO link. - Jules Wulms, Juri Buchmüller, Wouter Meulemans, Kevin Verbeek, Bettina Speckmann:
Spatially and Temporally Coherent Visual Summaries. - Yonghui Bo, Wenjun Cai, Yushun Wang:
A general symplectic integrator for canonical Hamiltonian systems. - Xingjian Li, Jun Fang, Feifei Gao, Hongbin Li:
Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems. - Preslav Nakov, Doris Hoogeveen, Lluís Màrquez, Alessandro Moschitti, Hamdy Mubarak, Timothy Baldwin, Karin Verspoor:
SemEval-2017 Task 3: Community Question Answering. - James Pavur, Casey Knerr:
GDPArrrrr: Using Privacy Laws to Steal Identities. - Hossein Khazaei, X. Andy Sun, Yue Zhao:
On the Equilibria and Efficiency of Electricity Markets with Renewable Power Producers and Congestion Constraints. - Edouard Pineau:
Using Laplacian Spectrum as Graph Feature Representation. - Mohammadreza Fani Sani, Mathilde Boltenhagen, Wil M. P. van der Aalst:
Prototype Selection Based on Clustering and Conformance Metrics for Model Discovery. - Talha Bin Masood, Ingrid Hotz:
Continuous Histograms for Anisotropy of 2D Symmetric Piece-wise Linear Tensor Fields. - Sara Rosenthal, Noura Farra, Preslav Nakov:
SemEval-2017 Task 4: Sentiment Analysis in Twitter. - Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan:
Pythia: AI-assisted Code Completion System. - Farnaz Sohrabi, Farkhondeh Jabari, Behnam Mohammadi-Ivatloo, Alireza Soroudi:
Coordination of interdependent natural gas and electricity systems based on information gap decision theory. - Chen Lu, Jing Wang, Shan Luo:
Surface Following using Deep Reinforcement Learning and a GelSightTactile Sensor. - Ross Gruetzemacher, Jess Whittlestone:
Defining and Unpacking Transformative AI. - Manzoor Ansari, Syed Arshad Ali, Mansaf Alam:
A Synergistic Approach for Internet of Things and Cloud Integration: Current Research and Future Direction. - Zhiwen Tang, Grace Hui Yang:
Corpus-Level End-to-End Exploration for Interactive Systems. - Siming Zheng, Rahmita Wirza O. K. Rahmat, Fatimah Khalid, Nurul Amelina Nasharuddin:
A Robust Iris Authentication System on GPU-Based Edge Devices using Multi-Modalities Learning Model. - Nicholas Vincent, Yichun Li, Renee Zha, Brent J. Hecht:
Mapping the Potential and Pitfalls of "Data Dividends" as a Means of Sharing the Profits of Artificial Intelligence. - Carlos Gershenson:
Guiding the Self-organization of Cyber-Physical Systems. - Antonio Maria Sudoso, Veronica Piccialli:
Non-Intrusive Load Monitoring with an Attention-based Deep Neural Network. - Tobias Tempel, Claudia Niederée, Christian Jilek, Andrea Ceroni, Heiko Maus, Yannick Runge, Christian Frings:
Temporarily Unavailable: Memory Inhibition in Cognitive and Computer Science. - Alice Xiang, Inioluwa Deborah Raji:
On the Legal Compatibility of Fairness Definitions. - Tim Ziemer, Holger Schultheis:
Three Orthogonal Dimensions for Psychoacoustic Sonification. - Jaroslaw Byrka, Mateusz Lewandowski:
Concave connection cost Facility Location and the Star Inventory Routing problem. - Elizaveta Rebrova, Deanna Needell:
Sketching for Motzkin's Iterative Method for Linear Systems. - Cameron R. Wolfe, Keld T. Lundgaard:
Data Augmentation for Deep Transfer Learning. - Yi Huang, Xiaoshan Yang, Changsheng Xu:
Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data. - Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope:
Learning a faceted customer segmentation for discovering new business opportunities at Intel. - Mircea-Dan Hernest:
Experiments with a PCCoder extension. - Ehsan Toreini, Mhairi Aitken, Kovila P. L. Coopamootoo, Karen Elliott, Carlos Gonzalez Zelaya, Aad van Moorsel:
The relationship between trust in AI and trustworthy machine learning technologies. - Valentin Robu, David Flynn, Merlinda Andoni, Maizura Mokhtar:
Consider ethical and social challenges in smart grid research. - Xiaoming Li, Tao Lin:
On Clearing Prices in Matching Markets: A Simple Characterization without Duality. - Xin Mao, Zhaoyu Su, Pin Siang Tan, Jun Kang Chow, Yu-Hsing Wang:
Is Discriminator a Good Feature Extractor? - Yusuke Sekikawa, Teppei Suzuki:
Tabulated MLP for Fast Point Feature Embedding. - Andreas Look, Melih Kandemir:
Differential Bayesian Neural Nets. - Adonai Sant'Anna, Otavio Bueno, Marcio de Franca:
Follow the Flow: sets, relations, and categories as special cases of functions with no domain. - Christopher Goddard:
Policies for constraining the behaviour of coalitions of agents in the context of algebraic information theory. - Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel C. Briand:
Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study. - Majid Majidi, Behnam Mohammadi-Ivatloo, Alireza Soroudi:
Application of information gap decision theory in practical energy problems: A comprehensive review. - Goiuri Peralta, Pablo Garrido, Josu Bilbao, Ramón Agüero, Pedro M. Crespo:
Fog to cloud and network coded based architecture: Minimizing data download time for smart mobility. - Xiaokai Huo, Hailiang Liu:
A positivity-preserving energy stable scheme for a quantum diffusion equation. - Qinmeng Zou, Frédéric Magoulès:
Recent Developments in Iterative Methods for Reducing Synchronization. - Manoj Ghuhan Arivazhagan, Vinay Aggarwal, Aaditya Kumar Singh, Sunav Choudhary:
Federated Learning with Personalization Layers. - Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter:
Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators. - Ali Varamesh, Tinne Tuytelaars:
Mixture Dense Regression for Object Detection and Human Pose Estimation. - S. Kelbij Star, Giovanni Stabile, Francesco Belloni, Gianluigi Rozza, Joris Degroote:
Extension and comparison of techniques to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamic problems. - Qiujie Dong, Xuedong He, Haiyan Ge, Qin Liu, Aifu Han, Shengzong Zhou:
Improving Model Drift for Robust Object Tracking. - Slava Voloshynovskiy, Mouad Kondah, Shideh Rezaeifar, Olga Taran, Taras Holotyak, Danilo Jimenez Rezende:
Information bottleneck through variational glasses. - Geir Kjetil Nilsen, Antonella Zanna Munthe-Kaas, Hans J. Skaug, Morten Brun:
On the Delta Method for Uncertainty Approximation in Deep Learning. - Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Hailin Shi, Tao Mei:
Mis-classified Vector Guided Softmax Loss for Face Recognition. - Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan:
Low Rank Factorization for Compact Multi-Head Self-Attention. - (Withdrawn) Improved Algorithm for Tolerant Junta Testing.
- Peng Xiao, Bin Liao, Nikos Deligiannis:
DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements. - Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles:
Automatic Generation of Headlines for Online Math Questions. - (Withdrawn) Distributional Locational Marginal Pricing Based Optimization for Electric Vehicle Charging Management.
- Verónica Quintuna Rodriguez, Fabrice Guillemin:
Contribution to the design and the implementation of a Cloud Radio Access Network. - Seunghyun Yoon, Subhadeep Dey, Hwanhee Lee, Kyomin Jung:
Attentive Modality Hopping Mechanism for Speech Emotion Recognition. - Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans:
Neural Predictor for Neural Architecture Search. - Nora Vogt:
CNNs, LSTMs, and Attention Networks for Pathology Detection in Medical Data. - Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo:
Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization. - Fei Li, Hong Yu:
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network. - Van Tung Pham, Haihua Xu, Yerbolat Khassanov, Zhiping Zeng, Eng Siong Chng, Chongjia Ni, Bin Ma, Haizhou Li:
Independent language modeling architecture for end-to-end ASR. - Makoto Nakatsuji, Sohei Okui:
Conclusion-Supplement Answer Generation for Non-Factoid Questions. - Fredrik Dahlqvist, Rocco Salvia, George A. Constantinides:
A Probabilistic Approach to Floating-Point Arithmetic. - Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David D. Cox:
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. - Kaden Griffith, Jugal Kalita:
Solving Arithmetic Word Problems Automatically Using Transformer and Unambiguous Representations. - Matt Chapman-Rounds, Marc-Andre Schulz, Erik Pazos, Konstantinos Georgatzis:
EMAP: Explanation by Minimal Adversarial Perturbation. - Ehsan Kharazmi, Zhongqiang Zhang, George Em Karniadakis:
Variational Physics-Informed Neural Networks For Solving Partial Differential Equations. - Rui Lebre, Eduardo Pinho, Jorge Miguel Silva, Carlos Costa:
Dicoogle Framework for Medical Imaging Teaching and Research. - Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li, Dapeng Oliver Wu:
Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring. - Nils Lukas, Yuxuan Zhang, Florian Kerschbaum:
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples. - Erik Burman, Ali Feizmohammadi, Arnaud Münch, Lauri Oksanen:
Space time stabilized finite element methods for a unique continuation problem subject to the wave equation. - Kehinde Owoeye:
Learning to smell for wellness. - Pietro Ghezzi, Peter G. Bannister, Gonzalo Casino, Alessia Catalani, Michel Goldman, Jessica Morley, Marie Neunez, Andreu Prados, Mariarosaria Taddeo, Tania Vanzolini, Luciano Floridi:
Online information of vaccines: information quality is an ethical responsibility of search engines. - Luca Chiaraviglio, Giuseppe Bianchi, Nicola Blefari-Melazzi, Marco Fiore:
Will the Proliferation of 5G Base Stations Increase the Radio-Frequency "Pollution"? - Nora Hollenstein, Marius Troendle, Ce Zhang, Nicolas Langer:
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation. - Ta-Chung Chi, Mihail Eric, Seokhwan Kim, Minmin Shen, Dilek Hakkani-Tür:
Just Ask: An Interactive Learning Framework for Vision and Language Navigation. - Markku-Juhani O. Saarinen:
Mobile Energy Requirements of the Upcoming NIST Post-Quantum Cryptography Standards. - Christos N. Efrem, Athanasios D. Panagopoulos:
Dynamic Energy-Efficient Power Allocation in Multibeam Satellite Systems. - Ingo Müller, Renato Marroquín, Gustavo Alonso:
Lambada: Interactive Data Analytics on Cold Data using Serverless Cloud Infrastructure. - Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique:
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. - Grzegorz Fabianski:
Properties of nowhere dense graph classes related to independent set problem. - Yixiang Wang, Feng Wu:
Multi-Agent Deep Reinforcement Learning with Adaptive Policies. - Sumeet Batra, John Klingner, Nikolaus Correll:
Augmented Reality for Human-Swarm Interaction in a Swarm-Robotic Chemistry Simulation. - Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy P. Lillicrap:
LOGAN: Latent Optimisation for Generative Adversarial Networks. - Shubhi Tyagi, Marco Nicolis, Jonas Rohnke, Thomas Drugman, Jaime Lorenzo-Trueba:
Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection. - Surabhi Punjabi, Harish Arsikere, Sri Garimella:
Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition. - Bechir Hamdaoui, Mohamed Alkalbani, Taieb Znati, Ammar Rayes:
Unleashing the Power of Participatory IoT with Blockchains for Increased Safety and Situation Awareness of Smart Cities. - Rizal Fathony, J. Zico Kolter:
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning. - Chirayu Anant Haryan, G. Ramakrishna, Rupesh Nasre, Allam Dinesh Reddy:
GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks. - Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang:
Continuous Graph Neural Networks. - Youtian Lin, Pengming Feng, Jian Guan:
IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection. - Gerhard P. Fettweis, Meik Dörpinghaus, Sandra Bender, Lukas Landau, Peter Neuhaus, Martin Schlüter:
Zero Crossing Modulation for Communication with Temporally Oversampled 1-Bit Quantization. - Yufan Zhou, Changyou Chen, Jinhui Xu:
KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling. - Samuel Drews, Aws Albarghouthi, Loris D'Antoni:
Proving Data-Poisoning Robustness in Decision Trees. - Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein:
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP. - Andrew Elliott, Angus Chiu, Marya Bazzi, Gesine Reinert, Mihai Cucuringu:
Core-Periphery Structure in Directed Networks. - Nelda Kote, Marenglen Biba, Jenna Kanerva, Samuel Rönnqvist, Filip Ginter:
Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models. - Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Adversarial normalization for multi domain image segmentation. - Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl:
A Multigrid Method for Efficiently Training Video Models. - Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu:
View-Invariant Probabilistic Embedding for Human Pose. - Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang:
FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints. - Mahesh Narayanamurthi, Adrian Sandu:
Efficient implementation of partitioned stiff exponential Runge-Kutta methods. - Anthony M. Colas, Seokhwan Kim, Franck Dernoncourt, Siddhesh Gupte, Daisy Zhe Wang, Doo Soon Kim:
TutorialVQA: Question Answering Dataset for Tutorial Videos. - Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li:
Estimating Numerical Distributions under Local Differential Privacy. - Fabian Groh, Lukas Ruppert, Patrick Wieschollek, Hendrik P. A. Lensch:
GGNN: Graph-based GPU Nearest Neighbor Search. - Xi Lin, Dingyi Sun, Tzu-Yuan Lin, Ryan M. Eustice, Maani Ghaffari Jadidi:
A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance Representation. - Yu Guo, Milos Hasan, Lingqi Yan, Shuang Zhao:
A Bayesian Inference Framework for Procedural Material Parameter Estimation. - Bohao Wu, Xue Bai:
About how to make novel Visible by using Newly Translated Tale of Genji as an example. - Trapit Bansal, Patrick Verga, Neha Choudhary, Andrew McCallum:
Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision. - Matej Martinc, Petra Kralj Novak, Senja Pollak:
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift. - Nicholas R. J. Frick, Felix Brünker, Björn Ross, Stefan Stieglitz:
Towards Successful Collaboration: Design Guidelines for AI-based Services enriching Information Systems in Organisations. - João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle H. Ungar:
Learning Word Ratings for Empathy and Distress from Document-Level User Responses. - Qi Chen, Sihai Tang, Jacob Hochstetler, Jingda Guo, Yuan Li, Jinbo Xiong, Qing Yang, Song Fu:
Low-Latency High-Level Data Sharing for Connected and Autonomous Vehicular Networks. - Yong Deng, Min Dong:
Structure of Optimal Cache Placement for Coded Caching with Heterogeneous Demands. - Seyyed Ali Hashemi, Nghia Doan, Thibaud Tonnellier, Warren J. Gross:
Deep-Learning-Aided Successive-Cancellation Decoding of Polar Codes. - J. Campbell Scott, Thomas F. Hayes, Ahmet S. Ozcan, Winfried W. Wilcke:
Simulation of neural function in an artificial Hebbian network. - Avrim Blum, Kevin Stangl:
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy? - Shen Zhang, Fei Ye, Bingnan Wang, Thomas G. Habetler:
Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders. - Rikhav Shah, Sandeep Silwal:
Using Dimensionality Reduction to Optimize t-SNE. - Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco, Davide Maltoni:
Latent Replay for Real-Time Continual Learning. - Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le:
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices. - Fabio Burco, Marino Miculan, Marco Peressotti:
Towards a Formal Model for Composable Container Systems. - David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar:
Diagnostic Curves for Black Box Models. - Ngoc C. Lê, Ngoc-Yen Nguyen, Anh-Duong Trinh:
On the Vietnamese Name Entity Recognition: A Deep Learning Method Approach. - Vijini Liyanage, Surangika Ranathunga:
A Multi-language Platform for Generating Algebraic Mathematical Word Problems. - Dipankar Chakrabarti, Neelam Patodia, Udayan Bhattacharya, Indranil Mitra, Satyaki Roy, Jayanta Mandi, Nandini Roy, Prasun Nandy:
Use of Artificial Intelligence to Analyse Risk in Legal Documents for a Better Decision Support. - Larisa Beilina, I. Gainova:
Time-adaptive optimization in a parameter identification problem of HIV infection. - Preslav Nakov:
Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics. - Qingyang Wu, Lei Li, Hao Zhou, Ying Zeng, Zhou Yu:
Importance-Aware Learning for Neural Headline Editing. - Karol Chlasta, Krzysztof Wolk, Izabela Krejtz:
Automated speech-based screening of depression using deep convolutional neural networks. - Jeremy Gordon, David Rawlinson, Subutai Ahmad:
Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling. - Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha:
Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs. - Khaled Jedoui, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Deep Bayesian Active Learning for Multiple Correct Outputs. - Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin:
Discovering Opioid Use Patterns from Social Media for Relapse Prevention. - Tianqi Liu, Qizhan Shao:
BERT for Large-scale Video Segment Classification with Test-time Augmentation. - Zhou Yang, Vinay Jayachandra Reddy, Rashmi Kesidi, Fang Jin:
Addict Free - A Smart and Connected Relapse Intervention Mobile App. - Paulo Mann, Aline Paes, Elton H. Matsushima:
See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data. - Claudia Latella:
Human Whole-Body Dynamics Estimation for Enhancing Physical Human-Robot Interaction. - Pitoyo Hartono:
Mixing autoencoder with classifier: conceptual data visualization. - Fei Huang, Hao Huang:
Event Ticket Price Prediction with Deep Neural Network on Spatial-Temporal Sparse Data. - David Bamman, Olivia Lewke, Anya Mansoor:
An Annotated Dataset of Coreference in English Literature. - Changqi Chen:
An Empirical Investigation of Correlation between Code Complexity and Bugs. - Basilis Mamalis:
Prolonging Network Lifetime in Wireless Sensor Networks with Path-Constrained Mobile Sink. - Eduardo Betine Bucker, Antonio José Grandson Busson, Ruy Luiz Milidiú, Sérgio Colcher, Bruno Pereira Dias, André Bulcão:
A Deep Convolutional Network for Seismic Shot-Gather Image Quality Classification. - Yizheng Chen, Shiqi Wang, Weifan Jiang, Asaf Cidon, Suman Jana:
Training Robust Tree Ensembles for Security. - Matt Groff:
The Polynomial Transform. - Octavia-Maria Sulea, Steve Young:
Unsupervised Inflection Generation Using Neural Language Modeling. - Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao:
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. - Thi Huyen Chau Nguyen, Werner Grass, Klaus Jansen:
Exact Polynomial Time Algorithm for the Response Time Analysis of Harmonic Tasks with Constrained Release Jitter. - Brighter Agyemang, Wei-Ping Wu, Michael Y. Kpiebaareh, Ebenezer Nanor:
Drug-Target Indication Prediction by Integrating End-to-End Learning and Fingerprints. - He He, Dongrui Wu:
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach. - Zihan Liu, Xiao Zhang, Dongrui Wu:
Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs. - Ravit Dotan, Smitha Milli:
Value-laden Disciplinary Shifts in Machine Learning. - Canqun Xiang, Shishun Tian, Wenbin Zou, Chen Xu:
SAIS: Single-stage Anchor-free Instance Segmentation. - Jaehyun Nam, Hyesun Chung, Young Ah Seong, Honggu Lee:
A New Terrain in HCI: Emotion Recognition Interface using Biometric Data for an Immersive VR Experience. - Qin Shi, Xiaowei Cui, Wei Li, Yu Xia, Mingquan Lu:
Visual-UWB Navigation System for Unknown Environments. - Yi Zhang, Xinyue Wei, Weichao Qiu, Zihao Xiao, Gregory D. Hager, Alan L. Yuille:
RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition. - Xin Ma, Guorong Wu, Won Hwa Kim:
Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity. - Qin Shi, Xiaowei Cui, Sihao Zhao, Jian Wen, Mingquan Lu:
Range-only Collaborative Localization for Ground Vehicles. - Stefan Henneking, Jacob Grosek, Leszek F. Demkowicz:
A DPG Maxwell approach for studying nonlinear thermal effects in active gain fiber amplifiers. - Kevin Lu, Igor Mordatch, Pieter Abbeel:
Adaptive Online Planning for Continual Lifelong Learning. - Tiancheng Jin, Haipeng Luo:
Learning Adversarial MDPs with Bandit Feedback and Unknown Transition. - Buddhima Gamlath, Vadim Grinberg:
Approximating Star Cover Problems. - S. Mohammad Mostafavi I., Jonghyun Choi, Kuk-Jin Yoon:
Learning to Super Resolve Intensity Images from Events. - Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu:
Structure Learning with Similarity Preserving. - Yuan Cao, Zhiying Fang, Yue Wu, Ding-Xuan Zhou, Quanquan Gu:
Towards Understanding the Spectral Bias of Deep Learning. - Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu:
Multi-view Subspace Clustering via Partition Fusion. - Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon:
Real-Time Panoptic Segmentation from Dense Detections. - Lifeng Tan, Cong Jin, Zhiyuan Cheng, Xin Lv, Leiyu Song:
Music Style Classification with Compared Methods in XGB and BPNN. - Mahesh Subedar, Nilesh A. Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo:
Deep Probabilistic Models to Detect Data Poisoning Attacks. - Sheikh Ariful Islam:
On the (In)security of Approximate Computing Synthesis. - Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud:
Rank Aggregation via Heterogeneous Thurstone Preference Models. - Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo:
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation. - Austin K. Williams, Jack Peterson:
Decentralized Common Knowledge Oracles. - Carroll L. Wainwright, Peter Eckersley:
SafeLife 1.0: Exploring Side Effects in Complex Environments. - Daan van Esch, Elnaz Sarbar, Tamar Lucassen, Jeremy O'Brien, Theresa Breiner, Manasa Prasad, Evan Crew, Chieu Nguyen, Françoise Beaufays:
Writing Across the World's Languages: Deep Internationalization for Gboard, the Google Keyboard. - Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song:
WaveFlow: A Compact Flow-based Model for Raw Audio. - Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Modelling Semantic Categories using Conceptual Neighborhood. - Xiangyang Zhi, Qingwen Xu, Sören Schwertfeger:
Evaluation of Smartphone IMUs for Small Mobile Search and Rescue Robots. - Qinmeng Zou, Frédéric Magoulès:
On Extensions of Limited Memory Steepest Descent Method. - Seri Nishimoto, Takashi Horiyama, Tomohiro Tachi:
Geodesic Folding of Tetrahedron. - Yifei Yang, Shuowen Zhang, Rui Zhang:
IRS-Enhanced OFDMA: Joint Resource Allocation and Passive Beamforming Optimization. - Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim:
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. - Xiaoyi Qin, Hui Bu, Ming Li:
HI-MIA : A Far-field Text-Dependent Speaker Verification Database and the Baselines. - Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim:
EDAS: Efficient and Differentiable Architecture Search. - Patrick H. Chen, Wei Wei, Cho-Jui Hsieh, Bo Dai:
Overcoming Catastrophic Forgetting by Generative Regularization. - Jaemoon Lee, Hoda Shajari:
A Hidden Variables Approach to Multilabel Logistic Regression. - Qinge Xie, Tiancheng Guo, Yang Chen, Yu Xiao, Xin Wang, Ben Y. Zhao:
"How do urban incidents affect traffic speed?" A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction. - Manouchehr Zaker:
On irreversible spread of influence in edge-weighted graphs. - Maxence Reberol, Alexandre Chemin, Jean-François Remacle:
Multiple Approaches to Frame Field Correction for CAD Models. - Dvir Ginzburg, Dan Raviv:
Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes. - Tom Willaert, Sven Banisch, Paul Van Eecke, Katrien Beuls:
Facilitating on-line opinion dynamics by mining expressions of causation. The case of climate change debates on The Guardian. - Jonathan Lee, Ching-An Cheng, Ken Goldberg, Byron Boots:
Continuous Online Learning and New Insights to Online Imitation Learning. - Simon Meyer Lauritsen, Mads Kristensen, Mathias Vassard Olsen, Morten Skaarup Larsen, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson:
Explainable artificial intelligence model to predict acute critical illness from electronic health records. - Martino Sorbaro, Qian Liu, Massimo Bortone, Sadique Sheik:
Optimizing the energy consumption of spiking neural networks for neuromorphic applications. - Matan Haroush, Itay Hubara, Elad Hoffer, Daniel Soudry:
The Knowledge Within: Methods for Data-Free Model Compression. - Christian Schön, Jens Dittrich:
Make Thunderbolts Less Frightening - Predicting Extreme Weather Using Deep Learning. - Sören Schwertfeger, Tianyan Yu:
Room Detection for Topological Maps. - Davide Magrin, Martina Capuzzo, Andrea Zanella, Michele Zorzi:
A Complete LoRaWAN Model for Single-Gateway Scenarios. - Rocco De Nicola, Gianluigi Ferrari, Rosario Pugliese, Francesco Tiezzi:
A Formal Approach to the Engineering of Domain-Specific Distributed Systems. - Rio Mukaide, Kenjiro Tadakuma, Masahiro Watanabe, Yu Ozawa, Tomoya Takahashi, Masashi Konyo, Satoshi Tadokoro:
Radial-Layer Jamming Mechanism for String Configuration. - Tori Shimizu, Kenjiro Tadakuma, Masahiro Watanabe, Eri Takane, Masashi Konyo, Satoshi Tadokoro:
Internally-Balanced Magnetic Mechanisms Using Magnetic Spring for Producing Large Amplified Clamping Force. - R. Q. Wang, W. Z. Wang, D. Z. Zhao, G. H. Chen:
Scene recognition based on DNN and game theory with its applications in human-robot interaction. - Qingwen Xu, Sören Schwertfeger:
Comparison and Evaluation of 2D and 3D Range Sensors. - Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Wei-Shi Zheng, Xing Sun:
Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification. - Quoc Hung Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
Predicting Soil pH by Using Nearest Fields. - Mattia Rossi, Mireille El Gheche, Andreas Kuhn, Pascal Frossard:
Joint Graph-based Depth Refinement and Normal Estimation. - Yulei Liao, Pingbing Ming:
Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions. - Zhiyuan Jiang, Siyu Fu, Sheng Zhou, Zhisheng Niu, Shunqing Zhang, Shugong Xu:
AI-Assisted Low Information Latency Wireless Networking. - Arren Glover, Alan B. Stokes, Steve B. Furber, Chiara Bartolozzi:
ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration. - Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. - Anthony Cioppa, Adrien Deliège, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, Rikke Gade, Thomas B. Moeslund:
A Context-Aware Loss Function for Action Spotting in Soccer Videos. - Qinge Xie, Qingyuan Gong, Xinlei He, Yang Chen, Xin Wang, Haitao Zheng, Ben Y. Zhao:
Trimming Mobile Applications for Bandwidth-Challenged Networks in Developing Regions. - Jingyue Lu, M. Pawan Kumar:
Neural Network Branching for Neural Network Verification. - Paulo Oliva, Chuangjie Xu:
On the Herbrand Functional Interpretation. - Yahia Alghorani, Ahmed Salim Chekkouri, Djabir Chekired, Sami Muhaidat, Samuel Pierre, Mark F. Flanagan:
Improved S-AF and S-DF Relaying Schemes using Machine Learning based Power Allocation over Cascaded Rayleigh Fading Channels. - Farshad Moradi, Hooman Farkhani, Behzad Zeinali, Hamdam Ghanatian, Johan Michel Alain Pelloux-Prayer, Tim Böhnert, Mohammad Zahedinejad, Hadi Heidari, Vahid Nabaei, Ricardo Ferreira, Johan Åkerman, Jens Kargaard Madsen:
Spin-Orbit-Torque-based Devices, Circuits and Architectures. - Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li:
Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification. - Kevin Haninger, Abner Asignacion, Sehoon Oh:
Safe rendering of high impedance on a series-elastic actuator with disturbance observer-based torque control. - André Gaul, Ismail Khoffi, Jörg Liesen, Torsten Stüber:
Mathematical Analysis and Algorithms for Federated Byzantine Agreement Systems. - Christian Menard, Andres Goens, Marten Lohstroh, Jerónimo Castrillón:
Achieving Determinism in Adaptive AUTOSAR. - Ektor Vrettakis, Vassilis Kourtis, Akrivi Katifori, Manos Karvounis, Christos Lougiakis, Yannis E. Ioannidis:
Narralive - Creating and experiencing mobile digital storytelling in cultural heritage. - Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. - Jag Mohan Singh, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch:
Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance. - Sung-Kwon Choo, Wonkyo Seo, Nam Ik Cho:
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation. - Mehmet Utkan Gezer:
Windable Heads & Recognizing NL with Constant Randomness. - Florian Auer, Michael Felderer:
Characteristics of an Online Controlled Experiment: Preliminary Results of a Literature Review. - Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. - Taesun Moon, Parul Awasthy, Jian Ni, Radu Florian:
Towards Lingua Franca Named Entity Recognition with BERT. - Ryan Vaughn, Tyrus Berry, Harbir Antil:
Diffusion Maps for Embedded Manifolds with Boundary with Applications to PDEs. - Elahe Arani, Shabbir Marzban, Andrei Pata, Bahram Zonooz:
RGPNet: A Real-Time General Purpose Semantic Segmentation. - Amit Kumar Verma, Narendra Kumar, Diksha Tiwari:
System of Lane-Emden equations as IVPs BVPs and Four Point BVPs & Computation with Haar Wavelets. - Ronan L. Keane, Huaizhu Oliver Gao:
Increasing Traffic Throughput by Controlling Autonomous Vehicles at Low Penetration Rates. - Harald Hofstätter, Winfried Auzinger, Othmar Koch:
An Algorithm for Computing Coefficients of Words in Expressions Involving Exponentials and its Application to the Construction of Exponential Integrators. - Anton Trusov, Elena Limonova:
The Analysis of Projective Transformation Algorithms for Image Recognition on Mobile Devices. - Jag Mohan Singh, Sushma Venkatesh, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition. - Jie Zhong, Daniel W. C. Ho, Jianquan Lu:
A New Framework for Pinning Control of Boolean Networks. - Guillaume Lample, François Charton:
Deep Learning for Symbolic Mathematics. - Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Optimal Laplacian regularization for sparse spectral community detection. - Beate Bollig, Martin Farenholtz:
On the relation between structured d-DNNFs and SDDs. - Zirui Wang, Shuda Li, Henry Howard-Jenkins, Victor Adrian Prisacariu, Min Chen:
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation. - Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage. - Jiaman Wu, Zhiqi Wang, Chenye Wu, Kui Wang, Yang Yu:
A Data-driven Storage Control Framework for Dynamic Pricing. - Aleksey Buzmakov, Daria Semenova, Maria Temirkaeva:
The Comparison of Methods for Individual Treatment Effect Detection. - Xu Shen, Xinmei Tian, Anfeng He, Shaoyan Sun, Dacheng Tao:
Transform-Invariant Convolutional Neural Networks for Image Classification and Search. - Daniel C. McNamee:
Hierarchical model-based policy optimization: from actions to action sequences and back. - Jiaqi Zhang, Beilun Wang:
Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models. - Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece:
Sanity Checks for Saliency Metrics. - Jia-Hong Huang, Modar Alfadly, Bernard Ghanem, Marcel Worring:
Assessing the Robustness of Visual Question Answering. - Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance. - Kamran Ali, Charles E. Hughes:
Facial Expression Representation Learning by Synthesizing Expression Images. - Alexander Fengler, Saeid Haghighatshoar, Peter Jung, Giuseppe Caire:
Grant-Free Massive Random Access With a Massive MIMO Receiver. - Xingran Chen, Konstantinos Gatsis, Hamed Hassani, Shirin Saeedi Bidokhti:
Age of Information in Random Access Channels. - Francesco Contaldo, Patrick Trentin, Roberto Sebastiani:
From MiniZinc to Optimization Modulo Theories, and Back (Extended Version). - Hongliang Zhang, Boya Di, Lingyang Song, Zhu Han:
Reconfigurable Intelligent Surfaces assisted Communications with Limited Phase Shifts: How Many Phase Shifts Are Enough? - Shanthanu S. Rai, Rohit M. P, Sreepathi Pai:
A Hybrid Graph Coloring Algorithm for GPUs. - Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique. - Christine Bauer:
Context Adaptivity as Enabler for Meaningful Pervasive Advertising. - Ishai Rosenberg, Guillaume Sicard, Eli David:
End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware. - Ido Cohen, Eli David, Nathan S. Netanyahu:
Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images. - Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu, Chih-Chia Li, Tzu-Yuan Lin, Ting-Hao Kenneth Huang, Lun-Wei Ku:
Knowledge-Enriched Visual Storytelling. - Xianghao Yu, Dongfang Xu, Ying Sun, Derrick Wing Kwan Ng, Robert Schober:
Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces. - Christian Gebbe:
Nonintrusive Load Monitoring for Machines used in Manufacturing. - Marek Rosa, Olga Afanasjeva, Simon Andersson, Joseph Davidson, Nicholas Guttenberg, Petr Hlubucek, Martin Poliak, Jaroslav Vitku, Jan Feyereisl:
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication). - Adam Kasperski, Pawel Zielinski:
Soft robust solutions to possibilistic optimization problems. - Martin Thomas Horsch, Silvia Chiacchiera, Michael A. Seaton, Ilian T. Todorov, Karel Sindelka, Martin Lísal, Barbara Andreon, Esteban Bayro Kaiser, Gabriele Mogni, Gerhard Goldbeck, Ralf Kunze, Georg Summer, Andreas Fiseni, Hauke Brüning, Peter Schiffels, Welchy Leite Cavalcanti:
Ontologies for the Virtual Materials Marketplace. - Oren Barkan:
Multiscale Self Attentive Convolutions for Vision and Language Modeling. - Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger:
Convolutional STN for Weakly Supervised Object Localization and Beyond. - Chad E. Brown, Thibault Gauthier:
Self-Learned Formula Synthesis in Set Theory. - Qing Ke:
The citation disadvantage of clinical research. - Nicolas Beldiceanu, Mats Carlsson, Claude-Guy Quimper, Maria-Isabel Restrepo-Ruiz:
Classifying Pattern and Feature Properties to Get a Θ(n) Checker and Reformulation for Sliding Time-Series Constraints. - Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
QUEST: Quantized embedding space for transferring knowledge. - Adrian Dumitrescu:
On the Shortest Separating Cycle. - Kevin Buchin, Sariel Har-Peled, Dániel Oláh:
Sometimes Reliable Spanners of Almost Linear Size. - Zachary Chase:
Experimental Evidence for Asymptotic Non-Optimality of Comb Adversary Strategy. - Eraldo Pereira Marinho:
On the connection between Deutsch-Jozsa algorithm and bent functions. - Joel Michelson, Joshua H. Palmer, Aneesha Dasari, Maithilee Kunda:
Learning Spatially Structured Image Transformations Using Planar Neural Networks. - Qiao Lan, Zezhong Zhang, Yuqing Du, Zhenyi Lin, Kaibin Huang:
An Introduction to Communication Efficient Edge Machine Learning. - Saba Ahmadian, Farhad Taheri, Hossein Asadi:
Evaluating Reliability of SSD-Based I/O Caches in Enterprise Storage Systems. - Oyku Melikoglu, Oguz Ergin, Behzad Salami, Julian Pavon, Osman S. Unsal, Adrián Cristal:
A Novel FPGA-Based High Throughput Accelerator For Binary Search Trees. - Jingbin Liu, Xinyang Gu, Dexiang Zhang, Shuai Liu:
On-policy Reinforcement Learning with Entropy Regularization. - Novak Boskov, Mihailo Isakov, Michel A. Kinsy:
Drndalo: Lightweight Control Flow Obfuscation Through Minimal Processor/Compiler Co-Design. - Maksim Jenihhin, Said Hamdioui, Matteo Sonza Reorda, Milos Krstic, Peter Langendörfer, Christian Sauer, Anton Klotz, Michael Hübner, Jörg Nolte, Heinrich Theodor Vierhaus, Georgios N. Selimis, Dan Alexandrescu, Mottaqiallah Taouil, Geert Jan Schrijen, Jaan Raik, Luca Sterpone, Giovanni Squillero, Zoya Dyka:
RESCUE: Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems. - Shuai Zhao, Piotr Dziurzanski, Leandro Soares Indrusiak:
Value-driven Manufacturing Planning using Cloud-based Evolutionary Optimisation. - Behzad Salami, Konstantinos Parasyris, Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel A. Jiménez, Carlos Álvarez, S. Nabavi, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Mustafa Abduljabbar, Jing Chen, Pirah Noor Soomro, Madhavan Manivannan, Micha vor dem Berge, Stefan Krupop, Frank Klawonn, Al Mekhlafi, Sigrun May, Tobias Becker, Georgi Gaydadjiev, Daniel Ödman, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Do Le Quoc, Christof Fetzer, Martin Kaiser, Nils Kucza, Jens Hagemeyer, René Griessl, Lennart Tigges, Kevin Mika, A. Hüffmeier, Th. Jungeblu, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber:
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. - Thanapapas Horsuwan, Kasidis Kanwatchara, Peerapon Vateekul, Boonserm Kijsirikul:
A Comparative Study of Pretrained Language Models on Thai Social Text Categorization. - Mohammad Ostadijafari, Rahul Ranjan Jha, Anamika Dubey:
Conservation Voltage Reduction by Coordinating Legacy Devices, Smart Inverters and Battery. - Alex Zihao Zhu, Ziyun Wang, Kaung Khant, Kostas Daniilidis:
EventGAN: Leveraging Large Scale Image Datasets for Event Cameras. - Yunmo Chen, Tongfei Chen, Seth Ebner, Benjamin Van Durme:
Reading the Manual: Event Extraction as Definition Comprehension. - Karl Cobbe, Christopher Hesse, Jacob Hilton, John Schulman:
Leveraging Procedural Generation to Benchmark Reinforcement Learning. - Ehab Hassan:
CheasePy. - Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Towards an Integrative Educational Recommender for Lifelong Learners. - Dmitry Kovalev, Konstantin Mishchenko, Peter Richtárik:
Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic Rates. - Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition. - Danijar Hafner, Timothy P. Lillicrap, Jimmy Ba, Mohammad Norouzi:
Dream to Control: Learning Behaviors by Latent Imagination. - Volkan Dedeoglu, Ali Dorri, Raja Jurdak, Regio A. Michelin, Roben Castagna Lunardi, Salil S. Kanhere, Avelino F. Zorzo:
A journey in applying blockchain for cyberphysical systems. - Danial A. Muhammed, Soran A. M. Saeed, Tarik A. Rashid:
A Simulation Model for Pedestrian Crowd Evacuation Based on Various AI Techniques. - Sariel Har-Peled, Mitchell Jones:
Fast Algorithms for Geometric Consensuses. - Michael Riesch, Tien Dat Nguyen, Christian Jirauschek:
bertha: Project Skeleton for Scientific Software. - Man-Chung Yeung, Long Lee:
A FEAST variant incorporated with a power iteration. - Alexander Gómez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío, Jesus Malo:
Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications. - Samuel K. Ainsworth, Matt Barnes, Siddhartha S. Srinivasa:
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation. - Eric Heiden, Ziang Liu, Ragesh K. Ramachandran, Gaurav S. Sukhatme:
Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking. - Daniel Zhengyu Huang, Philip Avery, Charbel Farhat, Jason Rabinovitch, Armen Derkevorkian, Lee D. Peterson:
Modeling, simulation and validation of supersonic parachute inflation dynamics during Mars landing. - Michael Hazoglou, Todd Hylton:
Integrating Motion into Vision Models for Better Visual Prediction. - Robert Guirado, Hyoukjun Kwon, Eduard Alarcón, Sergi Abadal, Tushar Krishna:
Understanding the Impact of On-chip Communication on DNN Accelerator Performance. - Gangshan Jing, Changhuang Wan, Ran Dai:
Angle-Based Sensor Network Localization. - Siavash Haghiri, Leena Chennuru Vankadara, Ulrike von Luxburg:
Large scale representation learning from triplet comparisons. - Siddhant Bhambri, Sumanyu Muku, Avinash Tulasi, Arun Balaji Buduru:
A Study of Black Box Adversarial Attacks in Computer Vision. - Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska:
Learning Multi-dimensional Indexes. - Petra Barancíková, Ondrej Bojar:
COSTRA 1.0: A Dataset of Complex Sentence Transformations. - Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke:
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes. - Lisa Jin, Daniel Gildea:
AMR-to-Text Generation with Cache Transition Systems. - Alexander Matt Turner:
Optimal Farsighted Agents Tend to Seek Power. - Zirui Xu, Zhao Yang, Jinjun Xiong, Jianlei Yang, Xiang Chen:
ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices. - Luca Bugliari Armenio, Lorenzo Fagiano, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
Scenario optimization for optimal training of Echo State Networks. - Abdul Wahab, Phil Maguire:
Smart Parking: IoT and Blockchain. - Dayeol Lee, Dongha Jung, Ian T. Fang, Chia-Che Tsai, Raluca Ada Popa:
An Off-Chip Attack on Hardware Enclaves via the Memory Bus. - Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala:
PyTorch: An Imperative Style, High-Performance Deep Learning Library. - Xiaotian Liu, Pengyi Shi, Sarra M. Alqahtani, Victor Paúl Pauca, Miles Silman:
Robustness-Driven Exploration with Probabilistic Metric Temporal Logic. - Nicolas Garneau, Mathieu Godbout, David Beauchemin, Audrey Durand, Luc Lamontagne:
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well. - Charan D. Prakash, Lina J. Karam:
It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality. - Abhishek Kesarwani, Pabitra Mohan Khilar:
Development of trust based access control models using fuzzy logic in cloud computing. - Xin Fang, Stratis Ioannidis, Miriam Leeser:
SIFO: Secure Computational Infrastructure using FPGA Overlays. - Jorge Peña Queralta, Tomi Westerlund:
Managing Collaboration in Heterogeneous Swarms of Robots with Blockchains. - Aliya Tabassum, Wadha Lebda:
Security Framework for IoT Devices against Cyber-Attacks. - (Withdrawn) Cross-Blockchain Databases for Governments: The Technology for Public Registries and Smart Laws.
- Jonas Tjomsland, Ali Shafti, A. Aldo Faisal:
Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions. - Davide Dardari:
Communicating with Large Intelligent Surfaces: Fundamental Limits and Models. - Krystian Radlak, Lukasz Malinski, Bogdan Smolka:
Deep Learning based Switching Filter for Impulsive Noise Removal in Color Images. - Wanchun Liu, Xiangyun Zhou, Salman Durrani, Petar Popovski:
SWIPT with Practical Modulation and RF Energy Harvesting Sensitivity. - Akshit Tyagi, Varun Sharma, Rahul Gupta, Lynn Samson, Nan Zhuang, Zihang Wang, Bill Campbell:
Fast Intent Classification for Spoken Language Understanding. - Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister:
Distance-Based Learning from Errors for Confidence Calibration. - Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao:
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition. - Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox:
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. - Marco A. C. Simões, Robson Marinho da Silva, Tatiane Nogueira:
A Dataset Schema for Cooperative Learning from Demonstration in Multi-robots Systems. - Fuyang Zhang, Nelson Nauata, Yasutaka Furukawa:
Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction. - Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui:
Deep Physiological State Space Model for Clinical Forecasting. - Jiequn Han, Yingzhou Li, Lin Lin, Jianfeng Lu, Jiefu Zhang, Linfeng Zhang:
Universal approximation of symmetric and anti-symmetric functions. - Thomas Ketseoglou, Matthew C. Valenti, Ender Ayanoglu:
Millimeter Wave Massive MIMO Downlink Per-Group Communications with Hybrid Linear Precoding. - Mingjun Duan, Carlos Fasola, Sai Krishna Rallabandi, Rodolfo M. Vega, Antonios Anastasopoulos, Lori S. Levin, Alan W. Black:
A Resource for Computational Experiments on Mapudungun. - Rongxiang Weng, Heng Yu, Shujian Huang, Shanbo Cheng, Weihua Luo:
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation. - Mithilesh Kumar:
Faster Lattice Enumeration. - Abulikemu Abuduweili, Changliu Liu:
Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy. - Songtao Lu, Yawen Zhang, Yunlong Wang, Christina Mack:
Learn Electronic Health Records by Fully Decentralized Federated Learning. - Fanchao Qi, Liang Chang, Maosong Sun, Sicong Ouyang, Zhiyuan Liu:
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets. - Charlie Hou, Mingxun Zhou, Yan Ji, Phil Daian, Florian Tramèr, Giulia Fanti, Ari Juels:
SquirRL: Automating Attack Discovery on Blockchain Incentive Mechanisms with Deep Reinforcement Learning. - Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley:
Addressing Marketing Bias in Product Recommendations. - Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Spectral-GANs for High-Resolution 3D Point-cloud Generation. - Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang:
Adversarial Domain Adaptation with Domain Mixup. - Xiulong Yang, Shihao Ji:
Learning with Multiplicative Perturbations. - Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network. - Evyatar Illouz, Eli David, Nathan S. Netanyahu:
Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks. - Ming-Min Zhao, Qingqing Wu, Min-Jian Zhao, Rui Zhang:
Intelligent Reflecting Surface Enhanced Wireless Network: Two-timescale Beamforming Optimization. - Yanou Ramon, David Martens, Foster J. Provost, Theodoros Evgeniou:
Counterfactual Explanation Algorithms for Behavioral and Textual Data. - Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire:
Domain-independent Dominance of Adaptive Methods. - Lars Ruthotto, Stanley J. Osher, Wuchen Li, Levon Nurbekyan, Samy Wu Fung:
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. - Evgeni Stefchov, Galia Angelova, Preslav Nakov:
Towards Constructing a Corpus for Studying the Effects of Treatments and Substances Reported in PubMed Abstracts. - Weiwei Cai, Zhanguo Wei:
Diversity-Generated Image Inpainting with Style Extraction. - Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku, Sreyas Mohan, José G. Raya:
Knee Cartilage Segmentation Using Diffusion-Weighted MRI. - Yuval Bahat, Tomer Michaeli:
Explorable Super Resolution. - Ignacio Serna, Aythami Morales, Julian Fiérrez, Manuel Cebrián, Nick Obradovich, Iyad Rahwan:
Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics. - Kaidong Li, Wenchi Ma, Usman Sajid, Yuanwei Wu, Guanghui Wang:
Object Detection with Convolutional Neural Networks. - Vincent Neiger, Éric Schost:
Computing syzygies in finite dimension using fast linear algebra. - Dominik Linzner, Heinz Koeppl:
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes. - Chengqi Deng, Chengzhu Yu, Heng Lu, Chao Weng, Dong Yu:
PitchNet: Unsupervised Singing Voice Conversion with Pitch Adversarial Network. - Sumon Kumar Bose, Bapi Kar, Mohendra Roy, Pradeep Kumar Gopalakrishnan, Lei Zhang, Aakash Patil, Arindam Basu:
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS. - Telikepalli Kavitha, Tamás Király, Jannik Matuschke, Ildikó Schlotter, Ulrike Schmidt-Kraepelin:
Popular Branchings and Their Dual Certificates. - Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas, Peeter Laud, Alisa Pankova, Matthias Weidlich:
Secure Multi-Party Computation for Inter-Organizational Process Mining. - Byungju Kim, Junmo Kim:
Adjusting Decision Boundary for Class Imbalanced Learning. - Qiongxing Tao, Xiangfeng Luo, Hao Wang:
Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts. - Anuj Shanker Saxena, Siddharth Dawar, Vikram Goyal, Debajyoti Bera:
Mining Top-k Trajectory-Patterns from Anonymized Data. - Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha:
StarGAN v2: Diverse Image Synthesis for Multiple Domains. - Abel Gawel, Hermann Blum, Johannes Pankert, Koen Krämer, Luca Bartolomei, Selen Ercan, Farbod Farshidian, Margarita Chli, Fabio Gramazio, Roland Siegwart, Marco Hutter, Timothy Sandy:
A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction. - Yiming He, Wei Hu, Siyuan Yang, Xiaochao Qu, Pengfei Wan, Zongming Guo:
GraphPoseGAN: 3D Hand Pose Estimation from a Monocular RGB Image via Adversarial Learning on Graphs. - Munyque Mittelmann, Laurent Perrussel:
Game Description Logic with Integers: A GDL Numerical Extension. - Serkut Ayvasik, H. Murat Gürsu, Wolfgang Kellerer:
Veni Vidi Dixi: Reliable Wireless Communication with Depth Images. - Zheng-cong Fei:
Better Understanding Hierarchical Visual Relationship for Image Caption. - Ekaterina I. Panfilova, Mikhail A. Aliev, Irina A. Kunina, Vasiliy V. Postnikov, Dmitry P. Nikolaev:
A Method of Detecting End-To-End Curves of Limited Curvature. - Julia Shemiakina, Ivan Konovalenko, Daniil V. Tropin, Igor Faradjev:
Fast Projective Image Rectification for Planar Objects with Manhattan Structure. - Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao:
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning. - Jibril Frej, Didier Schwab, Jean-Pierre Chevallet:
WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset. - Sandra Alves, Delia Kesner, Daniel Ventura:
A Quantitative Understanding of Pattern Matching. - Irina A. Kunina, Mikhail A. Aliev, N. V. Arlazarov, D. V. Polevoy:
A Method of Fluorescent Fibers Detection on Identity Documents under Ultraviolet Light. - V. P. Denysiuk:
Fundamental trigonometric interpolation and approximating polynomials and splines. - Mikhail A. Aliev, D. A. Bocharov, Irina A. Kunina, Dmitry P. Nikolaev:
A Low Computational Approach for Price Tag Recognition. - Holger Trittenbach, Klemens Böhm, Ira Assent:
Active Learning of SVDD Hyperparameter Values. - Eimear Byrne, Giuseppe Cotardo, Alberto Ravagnani:
Rank-Metric Codes, Generalized Binomial Moments and their Zeta Functions. - Ahmed AbdelWahab, Niels Landwehr:
Deep Distributional Sequence Embeddings Based on a Wasserstein Loss. - Saeideh Ghanbari Azar, Hadi Seyedarabi:
Trajectory-Based Recognition of Dynamic Persian Sign Language Using Hidden Markov Model. - Henning Schlüter, Frank Allgöwer:
A Constraint-Tightening Approach to Nonlinear Stochastic Model Predictive Control for Systems under General Disturbances. - Matti Pouke, Katherine J. Mimnaugh, Timo Ojala, Steven M. LaValle:
The Plausibility Paradox in Small-Scale Virtual Environments. - Raul Barbosa, Frederico Cerveira, Luís Gonçalo, Henrique Madeira:
The most frequent programming mistakes that cause software vulnerabilities. - Hui Ying, Zhaojin Huang, Shu Liu, Tianjia Shao, Kun Zhou:
EmbedMask: Embedding Coupling for One-stage Instance Segmentation. - Chundra Aroor Cathcart:
A probabilistic assessment of the Indo-Aryan Inner-Outer Hypothesis. - Paul Théron, Alexander Kott:
When Autonomous Intelligent Goodware will Fight Autonomous Intelligent Malware: A Possible Future of Cyber Defense. - Sebastian Gündel, Andreas K. Maier:
Epoch-wise label attacks for robustness against label noise. - Fabian Hinder, André Artelt, Barbara Hammer:
A probability theoretic approach to drifting data in continuous time domains. - Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, Walid Magdy, Hamdy Mubarak, Abed Alhakim Freihat, James R. Glass, Bilal Randeree:
SemEval-2016 Task 3: Community Question Answering. - Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov:
SemEval-2016 Task 4: Sentiment Analysis in Twitter. - Sariel Har-Peled, Mitchell Jones:
Proof of Dudley's Convex Approximation. - Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. - Meng Hua, Luxi Yang, Chunguo Li, Qingqing Wu, A. Lee Swindlehurst:
Throughput Maximization for UAV-aided Backscatter Communication Networks. - Samet Demir, Uras Mutlu, Özgür Özdemir:
Neural Academic Paper Generation. - Edwin Simpson, Iryna Gurevych:
Scalable Bayesian Preference Learning for Crowds. - Geevarghese Philip, M. R. Rani, R. Subashini:
On Computing the Hamiltonian Index of Graphs. - Ishan Misra, Laurens van der Maaten:
Self-Supervised Learning of Pretext-Invariant Representations. - Dexin Wang:
Research on dynamic target detection and tracking system of hexapod robot. - Meng Hua, Yi Wang, Qingqing Wu, Haibo Dai, Yongming Huang, Luxi Yang:
Energy-Efficient Cooperative Secure Transmission in Multi-UAV Enabled Wireless Networks. - Kenjiro Tadakuma, Toshiaki Fujimoto, Masahiro Watanabe, Tori Shimizu:
Fire Resistance Deformable Soft Gripper Based on Wire Jamming Mechanism. - Martina Vanelli, Laura Arditti, Giacomo Como, Fabio Fagnani:
On games with coordinating and anti-coordinating agents. - Naveen Mohan, Martin Törngren, Viacheslav Izosimov, Viktor Kaznov, Per Roos, Johan Svahn, Joakim Gustavsson, Damir Nesic:
Challenges in Architecting Fully Automated Driving; with an Emphasis on Heavy Commercial Vehicles. - Leonardo Cianfanelli, Giacomo Como:
On stability of users equilibria in heterogeneous routing games. - Zimin Chen, Steve Kommrusch, Martin Monperrus:
Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities. - Joakim Oscarsson, Max Stolz-Sundnes, Naveen Mohan, Viacheslav Izosimov:
Applying systems-theoretic process analysis in the context of cooperative driving. - Pascal Koiran, Mateusz Skomra:
Derandomization and absolute reconstruction for sums of powers of linear forms. - Annalisa Franco, Antonio Magnani, Dario Maio:
Template co-updating in multi-modal human activity recognition systems. - Shengtian Yang, Jun Chen:
A Maximin Optimal Online Power Control Policy for Energy Harvesting Communications. - Thomas Holterbach, Tobias Bühler, Tino Rellstab, Laurent Vanbever:
An Open Platform to Teach How the Internet Practically Works. - Nguyen Hong Son, Ha Thanh Dung:
The method of detecting online password attacks based on high-level protocol analysis and clustering techniques. - Chen Gao, Yunpeng Chen, Si Liu, Zhenxiong Tan, Shuicheng Yan:
AdversarialNAS: Adversarial Neural Architecture Search for GANs. - Xiaojie Zhu, Erman Ayday, Roman Vitenberg, Narasimha Raghavan Veeraragavan:
Privacy-Preserving Search for a Similar Genomic Makeup in the Cloud. - Felix Stahlberg:
Neural Machine Translation: A Review. - Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff:
Robust Visual Object Tracking with Natural Language Region Proposal Network. - Ali Mohammed, Florina M. Ciorba:
SimAS: A Simulation-assisted Approach for the Scheduling Algorithm Selection under Perturbations. - Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang:
RTN: Reparameterized Ternary Network. - Zheyuan Wang, Matthew C. Gombolay:
Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks. - Geoffroy Dubourg-Felonneau, Omar Darwish, Christopher Parsons, Dami Rebergen, John W. Cassidy, Nirmesh Patel, Harry W. Clifford:
Safety and Robustness in Decision Making: Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer. - Guenther Ruhe:
Optimization in Software Engineering - A Pragmatic Approach. - Lars Grasedyck, Lukas Juschka, Christian Löbbert:
Finding entries of maximum absolute value in low-rank tensors. - Ofir Nachum, Bo Dai, Ilya Kostrikov, Yinlam Chow, Lihong Li, Dale Schuurmans:
AlgaeDICE: Policy Gradient from Arbitrary Experience. - Rezarta Islamaj Dogan, Lana Yeganova, Won Kim, Natalie Xie, W. John Wilbur:
PDC - a probabilistic distributional clustering algorithm: a case study on suicide articles in PubMed. - Dillon J. Lohr, Lee Friedman, Oleg V. Komogortsev:
Evaluating the Data Quality of Eye Tracking Signals from a Virtual Reality System: Case Study using SMI's Eye-Tracking HTC Vive. - Qiming Yang, Hongyang Chao, Dan Nguyen, Steve B. Jiang:
Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy. - Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik:
Protecting Geolocation Privacy of Photo Collections. - Faen Zhang, Xinyu Fan, Pengcheng Zhou, Wenfeng Zhou:
On the Security of A Remote Cloud Storage Integrity Checking Protocol. - Daniel Omeiza:
A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models. - Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulò, Peter Kontschieder:
Learning Multi-Object Tracking and Segmentation from Automatic Annotations. - Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots:
Expressiveness and Learning of Hidden Quantum Markov Models. - Amulya Yadav:
Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World. - Amulya Yadav:
Influence Maximization for Social Good: Use of Social Networks in Low Resource Communities. - Bill Yang Cai, Xiaojiang Li, Carlo Ratti:
Quantifying Urban Canopy Cover with Deep Convolutional Neural Networks. - Md. Saiful Islam, Mohammed Eunus Ali, Yong-Bin Kang, Timos Sellis, Farhana Murtaza Choudhury:
Keyword Aware Influential Community Search in Large Attributed Graphs. - Josef Musil, Jakub Knir, Athanasios Vitsas, Irene Gallou:
Towards Sustainable Architecture: 3D Convolutional Neural Networks for Computational Fluid Dynamics Simulation and Reverse DesignWorkflow. - Harsh Thakkar, Renzo Angles, Dominik Tomaszuk, Jens Lehmann:
Direct Mappings between RDF and Property Graph Databases. - Ziyun Zhang:
Exponential convergence of Sobolev gradient descent for a class of nonlinear eigenproblems. - Shayne Longpre, Yi Lu, Zhucheng Tu, Chris DuBois:
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering. - Vitor Guizilini, Ransalu Senanayake, Fabio Ramos:
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment. - Reazul Hasan Russel:
A Probabilistic Approach to Satisfiability of Propositional Logic Formulae. - Hanwei Zhang, Yannis Avrithis, Teddy Furon, Laurent Amsaleg:
Walking on the Edge: Fast, Low-Distortion Adversarial Examples. - Nicolás Nieto, Francisco Ibarrola, Victoria Peterson, Hugo Leonardo Rufiner, Ruben D. Spies:
Extreme Learning Machine design for dealing with unrepresentative features. - Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, Ali Farhadi:
Visual Reaction: Learning to Play Catch with Your Drone. - Pierre Bréchet, Tao Wu, Thomas Möllenhoff, Daniel Cremers:
Informative GANs via Structured Regularization of Optimal Transport. - Nicholas Wilkins, Michael Johnson, Ifeoma Nwogu:
Regression with Uncertainty Quantification in Large Scale Complex Data. - Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu:
Plug and Play Language Models: A Simple Approach to Controlled Text Generation. - Rati Gelashvili, Nir Shavit, Aleksandar Zlateski:
L3 Fusion: Fast Transformed Convolutions on CPUs. - Gábor Horváth, Edith Kovács, Roland Molontay, Szabolcs Nováczki:
Copula-based anomaly scoring and localization for large-scale, high-dimensional continuous data. - Marin Vlastelica P., Anselm Paulus, Vít Musil, Georg Martius, Michal Rolínek:
Differentiation of Blackbox Combinatorial Solvers. - Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio:
Fantastic Generalization Measures and Where to Find Them. - Alexander Trautsch, Steffen Herbold, Jens Grabowski:
A Longitudinal Study of Static Analysis Warning Evolution and the Effects of PMD on Software Quality in Apache Open Source Projects. - Marco Avvenuti, Salvatore Bellomo, Stefano Cresci, Leonardo Nizzoli, Maurizio Tesconi:
Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System. - Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli:
Towards Robust Image Classification Using Sequential Attention Models. - Enrique Canessa, Livio Tenze:
MORPHOLO C++ Library for glasses-free multi-view stereo vision and streaming of live 3D video. - Yunan Zhang, Xiang Cheng, Heting Gao, Chengxiang Zhai:
Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach. - Nazanin Takbiri, Virat Shejwalkar, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Leveraging Prior Knowledge Asymmetries in the Design of Location Privacy-Preserving Mechanisms. - Abhishek Kr Singh, Raja Natarajan:
A Constructive Formalization of the Weak Perfect Graph Theorem. - Pedro Mirabal, José Ignacio Abreu, Diego Seco:
Assessing the best edit in perturbation-based iterative refinement algorithms to compute the median string. - Joyce Fang, Martin Ellis, Bin Li, Siyao Liu, Yasaman Hosseinkashi, Michael Revow, Albert Sadovnikov, Ziyuan Liu, Peng Cheng, Sachin Ashok, David Zhao, Ross Cutler, Yan Lu, Johannes Gehrke:
Reinforcement learning for bandwidth estimation and congestion control in real-time communications. - Zitong Wang, Li Wang, Raymond H. Chan, Tieyong Zeng:
Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points. - Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu:
Learning from Interventions using Hierarchical Policies for Safe Learning. - Yu Xing, Xingkang He, Haitao Fang, Karl Henrik Johansson:
Recursive Network Estimation From Binary-Valued Observation Data. - Michal Uricár, Ganesh Sistu, Hazem Rashed, Antonín Vobecký, Pavel Krízek, Fabian Bürger, Senthil Kumar Yogamani:
Let's Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving. - Kesha Hietala, Robert Rand, Shih-Han Hung, Xiaodi Wu, Michael Hicks:
A Verified Optimizer for Quantum Circuits. - Wei Ke, Tianliang Zhang, Zeyi Huang, Qixiang Ye, Jianzhuang Liu, Dong Huang:
Multiple Anchor Learning for Visual Object Detection. - Huixin Zhan, Yongcan Cao:
Deep Model Compression via Deep Reinforcement Learning. - Jonathan C. Stroud, Ryan McCaffrey, Rada Mihalcea, Jia Deng, Olga Russakovsky:
Compositional Temporal Visual Grounding of Natural Language Event Descriptions. - Prithviraj Dasgupta, Joseph B. Collins:
A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks. - Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant J. Scott, Mihail Popescu, James Keller:
Deep Morphological Hit-or-Miss Transform Neural Network. - Jessica A. F. Thompson, Yoshua Bengio, Marc Schönwiesner:
The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis. - Nima Safaei, Ivan A. Sergienko:
Correspondent Banking Networks: Theory and Experiment. - Steffen Rendle:
Evaluation Metrics for Item Recommendation under Sampling. - Anthony P. Austin, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Müller, Holger Schulz:
Multivariate Rational Approximation. - Kiwan Maeng, Iskender Kushan, Brandon Lucia, Ashish Kapoor:
Enhancing Stratospheric Weather Analyses and Forecasts by Deploying Sensors from a Weather Balloon. - Jeff Erickson, Ivor van der Hoog, Tillmann Miltzow:
A Framework for Robust Realistic Geometric Computations. - Beidi Chen, Weiyang Liu, Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Jan Kautz, Anima Anandkumar:
Angular Visual Hardness. - Riccardo Volpi, Luigi Malagò:
Natural Alpha Embeddings. - Paola F. Antonietti, Ilario Mazzieri, Markus Muhr, Vanja Nikolic, Barbara I. Wohlmuth:
A high-order discontinuous Galerkin method for nonlinear sound waves. - Benjamin Coleman, Anshumali Shrivastava:
Sub-linear RACE Sketches for Approximate Kernel Density Estimation on Streaming Data. - Shravan Narayan, Tal Garfinkel, Sorin Lerner, Hovav Shacham, Deian Stefan:
Gobi: WebAssembly as a Practical Path to Library Sandboxing. - Hengyuan Hu, Jakob N. Foerster:
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning. - Preetum Nakkiran, Gal Kaplun, Yamini Bansal, Tristan Yang, Boaz Barak, Ilya Sutskever:
Deep Double Descent: Where Bigger Models and More Data Hurt. - Rodrigo R. M. de Alencar, Lukas T. N. Landau, Rodrigo C. de Lamare:
Continuous Phase Modulation With 1-Bit Quantization and Oversampling Using Iterative Detection and Decoding. - Thomas Fernique:
A Densest ternary circle packing in the plane. - Jinho Choi:
Gaussian Data-aided Sensing with Multichannel Random Access and Model Selection. - Vincent Froese, Christoph Hansknecht:
Mathematical Programming Models for Mean Computation in Dynamic Time Warping Spaces. - Joseph Daws Jr., Clayton G. Webster:
Analysis of Deep Neural Networks with Quasi-optimal polynomial approximation rates. - Paul R. Hill, Anurag Kumar, Marouane Temimi, David R. Bull:
HABNet: Machine Learning, Remote Sensing Based Detection and Prediction of Harmful Algal Blooms. - Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, William T. Freeman, Frédo Durand:
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. - Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee:
12-in-1: Multi-Task Vision and Language Representation Learning. - Malhar Jere, Briland Hitaj, Gabriela F. Ciocarlie, Farinaz Koushanfar:
Scratch that! An Evolution-based Adversarial Attack against Neural Networks. - Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown:
Improving Policies via Search in Cooperative Partially Observable Games. - Matthew LeMay, Shijian Li, Tian Guo:
Perseus: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models. - Michael Snower, Asim Kadav, Farley Lai, Hans Peter Graf:
15 Keypoints Is All You Need. - Zelin Ye, Yan Hao, Liang Xu, Rui Zhu, Cewu Lu:
3D Objectness Estimation via Bottom-up Regret Grouping. - Liliang Ren, Gen Sun, Jiaman Wu:
RoNGBa: A Robustly Optimized Natural Gradient Boosting Training Approach with Leaf Number Clipping. - Ajian Liu, Zichang Tan, Xuan Li, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li:
Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing. - Sangjae Bae, Teng Zeng, Bertrand Travacca, Scott J. Moura:
Inducing Human Behavior to Alleviate Overstay at PEV Charging Station. - Grace Hui Yang:
Information Retrieval and Its Sister Disciplines. - Joshua C. Chang, Shashaank Vattikuti, Carson C. Chow:
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models. - Felipe Bottega Diniz:
A Fast Implementation for the Canonical Polyadic Decomposition. - Jie Zhao, Xiang Deng, Huan Sun:
Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation. - Abdul Rahman Kreidieh, Samyak Parajuli, Nathan Lichtle, Yiling You, Rayyan Nasr, Alexandre M. Bayen:
Inter-Level Cooperation in Hierarchical Reinforcement Learning. - Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das:
Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline. - Justin Cosentino, Federico Zaiter, Dan Pei, Jun Zhu:
The Search for Sparse, Robust Neural Networks. - Sara Rosenthal, Saif M. Mohammad, Preslav Nakov, Alan Ritter, Svetlana Kiritchenko, Veselin Stoyanov:
SemEval-2015 Task 10: Sentiment Analysis in Twitter. - Sanghack Lee, Vasant G. Honavar:
Towards Robust Relational Causal Discovery. - Shiyong Zhu, Jianquan Lu, Jie Zhong, Yang Liu:
A novel pinning observability strategy for Boolean networks. - Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, Maosong Sun:
Learning to Predict Explainable Plots for Neural Story Generation. - Kexue Zhang, Bahman Gharesifard:
Excluding Zeno Behaviour in Event-Triggered Time-Delay Systems by Impulsive Controls. - Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo:
Ultrafast Photorealistic Style Transfer via Neural Architecture Search. - Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis, Amy K. Hoover:
Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space. - Megha Nawhal, Mengyao Zhai, Andreas M. Lehrmann, Leonid Sigal:
Zero-Shot Generation of Human-Object Interaction Videos. - Kausik Subramanian, Anubhavnidhi Abhashkumar, Loris D'Antoni, Aditya Akella:
D2R: Dataplane-Only Policy-Compliant Routing Under Failures. - Hossein Kamalzadeh, Abbas Ahmadi, Saeid Mansour:
Clustering Time-Series by a Novel Slope-Based Similarity Measure Considering Particle Swarm Optimization. - Marcos M. Vasconcelos, Urbashi Mitra:
Data-driven sensor scheduling for remote estimation in wireless networks. - Boyan Zhou, Quan Cui, Xiu-Shen Wei, Zhao-Min Chen:
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition. - Qikui Zhu, Bo Du, Pingkun Yan:
OASIS: One-pass aligned Atlas Set for Image Segmentation. - Mohammad Moltafet, Markus Leinonen, Marian Codreanu, Nikolaos Pappas:
Power Minimization in Wireless Sensor Networks With Constrained AoI Using Stochastic Optimization. - Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li:
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection. - Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu:
Analysis of the Optimization Landscapes for Overcomplete Representation Learning. - Ondrej Benedikt, István Módos, Zdenek Hanzálek:
Power of Pre-Processing: Production Scheduling with Variable Energy Pricing and Power-Saving States. - Alperen Elihos, Burak Balci, Bensu Alkan, Yusuf Artan:
Deep Learning Based Segmentation Free License Plate Recognition Using Roadway Surveillance Camera Images. - Ali Bereyhi, Saba Asaad, Ralf R. Müller, Rafael F. Schaefer, Georg Fischer, H. Vincent Poor:
Robustness of Low-Complexity Massive MIMO Architectures Against Passive Eavesdropping. - Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang, Saeid Haghighatshoar, Giuseppe Caire:
Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO. - Bruno Lecouat, Jean Ponce, Julien Mairal:
Revisiting Non Local Sparse Models for Image Restoration. - Po-Chun Hsu, Chun-hsuan Wang, Andy T. Liu, Hung-yi Lee:
Towards Robust Neural Vocoding for Speech Generation: A Survey. - Florian Tschopp, Michael Riner, Marius Fehr, Lukas Bernreiter, Fadri Furrer, Tonci Novkovic, Andreas Pfrunder, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite. - Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris:
Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning. - Michael Fell, Elena Cabrio, Elmahdi Korfed, Michel Buffa, Fabien Gandon:
Love Me, Love Me, Say (and Write!) that You Love Me: Enriching the WASABI Song Corpus with Lyrics Annotations. - Jun Quan, Deyi Xiong:
Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue. - Daniel Ricardo dos Santos, Mario Dagrada, Elisa Costante:
Leveraging Operational Technology and the Internet of Things to Attack Smart Buildings. - Jesujoba O. Alabi, Kwabena Amponsah-Kaakyire, David Ifeoluwa Adelani, Cristina España-Bonet:
Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi. - Oana Balalau, Carlos Castillo, Mauro Sozio:
EviDense: a Graph-based Method for Finding Unique High-impact Events with Succinct Keyword-based Descriptions. - Raghavendra Ramachandra, Martin Stokkenes, Amir Mohammadi, Sushma Venkatesh, Kiran B. Raja, Pankaj Wasnik, Eric Poiret, Sébastien Marcel, Christoph Busch:
Smartphone Multi-modal Biometric Authentication: Database and Evaluation. - Shan Cao, Yuqian Yao, Gaoyun An:
E2-Capsule Neural Networks for Facial Expression Recognition Using AU-Aware Attention. - Tomaso Fontanini, Eleonora Iotti, Luca Donati, Andrea Prati:
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-Learning. - Caterina Urban, Maria Christakis, Valentin Wüstholz, Fuyuan Zhang:
Perfectly Parallel Fairness Certification of Neural Networks. - Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado van Hasselt, Greg Wayne, Satinder Singh, Doina Precup, Rémi Munos:
Hindsight Credit Assignment. - Pavel Bezmaternykh, Dmitry P. Nikolaev:
A Document Skew Detection Method Using Fast Hough Transform. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Post-Mortem Iris Recognition Resistant to Biological Eye Decay Processes. - Takuma Kinugawa, Kazumune Hashimoto, Toshimitsu Ushio:
Control of Timed Discrete Event Systems with Ticked Linear Temporal Logic Constraints. - Simon Bell, Kenny Paterson, Lorenzo Cavallaro:
Catch Me (On Time) If You Can: Understanding the Effectiveness of Twitter URL Blacklists. - Joon Son Chung, Arsha Nagrani, Ernesto Coto, Weidi Xie, Mitchell McLaren, Douglas A. Reynolds, Andrew Zisserman:
VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge. - Plamen Angelov, Eduardo A. Soares:
Towards Explainable Deep Neural Networks (xDNN). - Florian Hofer, Martin A. Sehr, Alberto L. Sangiovanni-Vincentelli, Barbara Russo:
Probabilistic Dynamic Hard Real-Time Scheduling in HPC. - Jan Malte Lichtenberg, Özgür Simsek:
Iterative Policy-Space Expansion in Reinforcement Learning. - Aldeida Aleti, Mark Wallace, Markus Wagner:
Is perturbation an effective restart strategy? - Seungmo Kim, Mehdi Bennis:
Spatiotemporal Analysis on Broadcast Performance of DSRC with External Interference in 5.9 GHz Band. - Binbin Gao, Huarui Yin, Zhengdao Wang:
Polarized Low-Density Parity-Check Codes on the BSC. - Yuni Lai, Linfeng Zhang, Donghong Han, Rui Zhou, Guoren Wang:
Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks. - Liron David, Avishai Wool:
Context Aware Password Guessability via Multi-Dimensional Rank Estimation. - Maor Gaon, Ronen I. Brafman:
Reinforcement Learning with Non-Markovian Rewards. - Grégoire Mialon, Alexandre d'Aspremont, Julien Mairal:
Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function. - Martin Hutzenthaler, Arnulf Jentzen, Thomas Kruse:
Overcoming the curse of dimensionality in the numerical approximation of parabolic partial differential equations with gradient-dependent nonlinearities. - Jiaxi Liu, Yidong Zhang, Xiaoqing Wang, Yuming Deng, Xingyu Wu:
Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning. - Sanchita Basak, Fangzhou Sun, Saptarshi Sengupta, Abhishek Dubey:
Data-Driven Optimization of Public Transit Schedule. - Francesco Farina:
Collective Learning. - Alberto Sonnino:
FMPC: Secure Multiparty Computation from Fourier Series and Parseval's Identity. - Dimitrios J. Vergados, Katina Kralevska, Yuming Jiang, Angelos Michalas:
Local Voting: A New Distributed Bandwidth Reservation Algorithm for 6TiSCH Networks. - Ren Wang, Meng Wang, Jinjun Xiong:
Tensor Recovery from Noisy and Multi-Level Quantized Measurements. - Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh:
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction. - Bo Luo, Qiang Xu:
Region-Wise Attack: On Efficient Generation of Robust Physical Adversarial Examples. - Minho Kim, Kwangrae Kim, Soohee Han:
Low computational cost method for online parameter identification of Li-ion battery equivalent circuit model in battery management systems using matrix condition number. - Zhiyang Zhang, Shihua Zhang:
Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding. - Håvard H. Holm, André R. Brodtkorb, Martin Lilleeng Sætra:
GPU Computing with Python: Performance, Energy Efficiency and Usability. - Hossein Mohammadi Rouzbahani, Hadis Karimipour, Ali Dehghantanha, Reza M. Parizi:
Blockchain Applications in Power Systems: A Bibliometric Analysis. - Ruihan Zhao, Stas Tiomkin, Pieter Abbeel:
Learning Efficient Representation for Intrinsic Motivation. - Song Fang, Quanyan Zhu:
Fundamental Limitations in Sequential Prediction and Recursive Algorithms: Lp Bounds via an Entropic Analysis. - Niloofar Yousefi, Marie Alaghband, Ivan Garibay:
A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection. - Rahul Rachuri, Ajith Suresh:
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. - Qingxiang Wang, Chad E. Brown, Cezary Kaliszyk, Josef Urban:
Exploration of Neural Machine Translation in Autoformalization of Mathematics in Mizar. - Kangquan Li, Chunlei Li, Tor Helleseth, Longjiang Qu:
Cryptographically Strong Permutations from the Butterfly Structure. - Tong Teng, Jie Chen, Yehong Zhang, Kian Hsiang Low:
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression. - Mikhail A. Botchev:
An accurate restarting for shift-and-invert Krylov subspaces computing matrix exponential actions of nonsymmetric matrices. - Jean Néraud:
Complete Variable-Length Codes: An Excursion into Word Edit Operations. - Maede Zolanvari, Marcio Andrey Teixeira, Raj Jain:
Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning. - Jekan Thangavelautham:
Autonomous Robot Swarms for Off-World Construction and Resource Mining. - Zoltán Fülöp, Dávid Kószó, Heiko Vogler:
Crisp-determinization of weighted tree automata over strong bimonoids. - Maryam Ashoori, Justin D. Weisz:
In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes. - Guy Shiran, Daphna Weinshall:
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images. - Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo:
Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion. - Jamal Adetola, Koffi Wilfrid Houédanou, Bernardin Ahounou:
Residual-based a posteriori error estimates for a conforming mixed finite element discretization of the Monge-Ampère equation. - Peng Zou, Omur Ozel, Suresh Subramaniam:
Optimizing Information Freshness Through Computation-Transmission Tradeoff and Queue Management in Edge Computing. - Xiaoming Duan, Mishel George, Rushabh Patel, Francesco Bullo:
Robotic Surveillance Based on the Meeting Time of Random Walks. - Reazul Hasan Russel, Bahram Behzadian, Marek Petrik:
Optimizing Norm-Bounded Weighted Ambiguity Sets for Robust MDPs. - Xing Meng, Craig H. Ganoe, Ryan T. Sieberg, Yvonne Y. Cheung, Saeid Hassanpour:
Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency. - Daniel Rika, Dror Sholomon, Eli David, Nathan S. Netanyahu:
A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the Reconstruction of Portuguese Tile Panels. - Tarang Chugh, Anil K. Jain:
Fingerprint Spoof Generalization. - Brandon Trabucco, Albert Qu, Simon Li, Ganeshkumar Ashokavardhanan:
Inferring the Optimal Policy using Markov Chain Monte Carlo. - Yasaman Ettefagh, Sven Jacobsson, Anzhong Hu, Giuseppe Durisi, Christoph Studer:
All-Digital Massive MIMO Uplink and Downlink Rates under a Fronthaul Constraint. - Marc Grau Davis, Ethan Smith, Ana Tudor, Koushik Sen, Irfan Siddiqi, Costin Iancu:
Heuristics for Quantum Compiling with a Continuous Gate Set. - Xi Li, Mingyou Wu, Hanwu Chen:
Algorithm for Finding the Maximum Clique Based on Continuous Time Quantum Walk. - Sergey Goncharov, Sergey Ospichev, Denis K. Ponomaryov, Dmitri Ivanovich Sviridenko:
The Expressiveness of Looping Terms in the Semantic Programming. - Gerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran:
Solving Advanced Argumentation Problems with Answer Set Programming. - Amith K. Belman, Li Wang, S. S. Iyengar, Pawel Sniatala, Robert Wright, Robert Dora, Jacob Baldwin, Zhanpeng Jin, Vir V. Phoha:
Insights from BB-MAS - A Large Dataset for Typing, Gait and Swipes of the Same Person on Desktop, Tablet and Phone. - Pietro Centorrino, Alessandro Corbetta, Emiliano Cristiani, Elia Onofri:
Measurement and analysis of visitors' trajectories in crowded museums. - Anca-Nicoleta Ciubotaru, Arnout Devos, Behzad Bozorgtabar, Jean-Philippe Thiran, Maria Gabrani:
Revisiting Few-Shot Learning for Facial Expression Recognition. - Yifan Hou, Zhenzhong Jia, Matthew T. Mason:
Reorienting Objects in 3D Space Using Pivoting. - Pavel Naumov, Jia Tao:
Duty to Warn in Strategic Games. - Joseph Fisher:
Measuring Social Bias in Knowledge Graph Embeddings. - Ishaq Aden-Ali, Hassan Ashtiani:
On the Sample Complexity of Learning Sum-Product Networks. - Martin Burger, Yury Korolev, Simone Parisotto, Carola-Bibiane Schönlieb:
Total Variation Regularisation with Spatially Variable Lipschitz Constraints. - Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic:
Self-Supervised Learning of Video-Induced Visual Invariances. - Hugo Bertiche, Meysam Madadi, Sergio Escalera:
CLOTH3D: Clothed 3D Humans. - Muni Sreenivas Pydi, Varun S. Jog:
Adversarial Risk via Optimal Transport and Optimal Couplings. - Martin Törngren, Xinhai Zhang, Naveen Mohan, Matthias Becker, Lars J. Svensson, Xin Tao, De-Jiu Chen, Jonas Westman:
Architecting Safety Supervisors for High Levels of Automated Driving. - Johannes Brustle, Jack Dippel, Vishnu V. Narayan, Mashbat Suzuki, Adrian Vetta:
One Dollar Each Eliminates Envy. - Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun:
PolyTransform: Deep Polygon Transformer for Instance Segmentation. - Alcardo Alex Barakabitze, Arslan Ahmad, Rashid Mijumbi, Andrew Hines:
5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges. - Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige:
KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects. - Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia:
Combining Q-Learning and Search with Amortized Value Estimates. - Siyu Zhou, Mariano J. Phielipp, Jorge A. Sefair, Sara Imari Walker, Heni Ben Amor:
Clone Swarms: Learning to Predict and Control Multi-Robot Systems by Imitation. - Philipp Bamberger, Fabian Kuhn, Yannic Maus:
Efficient Deterministic Distributed Coloring with Small Bandwidth. - Prashant Batra, Vikram Sharma:
Complexity of a Root Clustering Algorithm. - Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi:
Cross-Resolution Learning for Face Recognition. - Felipe González, Andrea Figueroa, Claudia López, Cecilia R. Aragon:
Information Privacy Opinions on Twitter: A Cross-Language Study. - Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler:
An Accelerated Correlation Filter Tracker. - Victor Lecomte, Omri Weinstein:
Settling the relationship between Wilber's bounds for dynamic optimality. - Alfredo Garbuno-Inigo, Nikolas Nüsken, Sebastian Reich:
Affine invariant interacting Langevin dynamics for Bayesian inference. - Urwa Muaz, Stanislav Sobolevsky:
Transfer Learning from an Auxiliary Discriminative Task for Unsupervised Anomaly Detection. - Tuomo Hiippala:
Classifying Diagrams and Their Parts using Graph Neural Networks: A Comparison of Crowd-Sourced and Expert Annotations. - Jürgen Schmidhuber:
Reinforcement Learning Upside Down: Don't Predict Rewards - Just Map Them to Actions. - Rupesh Kumar Srivastava, Pranav Shyam, Filipe Mutz, Wojciech Jaskowski, Jürgen Schmidhuber:
Training Agents using Upside-Down Reinforcement Learning. - (Withdrawn) Isomorphism Revisited.
- J. Luc Peterson, Rushil Anirudh, Kevin Athey, Benjamin Bay, Peer-Timo Bremer, Vic Castillo, Francesco Di Natale, David Fox, Jim A. Gaffney, David Hysom, Sam Ade Jacobs, Bhavya Kailkhura, Joe Koning, Bogdan Kustowski, Steven H. Langer, Peter B. Robinson, Jessica Semler, Brian K. Spears, Jayaraman J. Thiagarajan, Brian Van Essen, Jae-Seung Yeom:
Merlin: Enabling Machine Learning-Ready HPC Ensembles. - Miguel Lázaro-Gredilla, Wolfgang Lehrach, Dileep George:
Learning undirected models via query training. - Ghassen Hamdi, Abdelmoutia Telli, Mohamed Nazih Omri:
Recursive algorithms to repair prioritized and inconsistent dl-lite knowledge base. - Parinya Chalermsook, Julia Chuzhoy, Thatchaphol Saranurak:
Pinning Down the Strong Wilber 1 Bound for Binary Search Trees. - Tianyi Li, Pan Zhang:
Self-falsifiable Hierarchical Detection of Overlapping Communities On Social Networks. - Thomas Schöps, Viktor Larsson, Marc Pollefeys, Torsten Sattler:
Why Having 10, 000 Parameters in Your Camera Model is Better Than Twelve. - Prashant V. Patil, Pranav N. Thakkar, Leena Vachhani:
State Estimation for Vision-based Localization under Uncertain Conditions. - Davood Karimi, Haoran Dou, Simon K. Warfield, Ali Gholipour:
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis. - Arian Mehrfard, Javad Fotouhi, Giacomo Taylor, Tess Forster, Nassir Navab, Bernhard Fuerst:
A Comparative Analysis of Virtual Reality Head-Mounted Display Systems. - Truc Le, Yuyan Li, Ye Duan:
RED-NET: A Recursive Encoder-Decoder Network for Edge Detection. - Reza Soleymanifar, Amber Srivastava, Carolyn L. Beck, Srinivasa M. Salapaka:
A Clustering Approach to Edge Controller Placement in Software Defined Networks with Cost Balancing. - Fabio Valerio Massoli, Fabio Carrara, Giuseppe Amato, Fabrizio Falchi:
Detection of Face Recognition Adversarial Attacks. - Stephanie L. Hyland, Shruti Tople:
On the Intrinsic Privacy of Stochastic Gradient Descent. - Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J. Black, Siyu Tang:
Generating 3D People in Scenes without People. - Allison Irvin, Isabell Kiral:
Designing for Privacy and Confidentiality on Distributed Ledgers for Enterprise (Industry Track). - Manoj Penmetcha, Shyam Sundar Kannan, Byung-Cheol Min:
Smart Cloud: Scalable Cloud Robotic Architecture for Web-powered Multi-Robot Applications. - Shaofei Wang, Vishnu Suresh Lokhande, Maneesh Singh, Konrad P. Körding, Julian Yarkony:
End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition. - Akshay Kamath, Sushrut Karmalkar, Eric Price:
Lower Bounds for Compressed Sensing with Generative Models. - Michael A. Katell, Meg Young, Bernease Herman, Dharma Dailey, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, P. M. Krafft:
An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists. - Thanh-Trung Trinh, Dinh-Minh Vu, Masaomi Kimura:
A pedestrian path-planning model in accordance with obstacle's danger with reinforcement learning. - Zhaoqiang Chen, Qun Chen, Boyi Hou, Tianyi Duan, Zhanhuai Li, Guoliang Li:
Towards Interpretable and Learnable Risk Analysis for Entity Resolution. - Suhabe Bugrara:
User Experience with Language-Independent Formal Verification. - Eric Goles, Diego Maldonado, Pedro Montealegre, Nicolas Ollinger:
On the Complexity of the Stability Problem of Binary Freezing Totalistic Cellular Automata. - Michael Neuder, Daniel J. Moroz, Rithvik Rao, David C. Parkes:
Selfish Behavior in the Tezos Proof-of-Stake Protocol. - Shuqi Xu, Qian-Ming Zhang, Linyuan Lu, Manuel Sebastian Mariani:
Recommending investors for new startups by integrating network diffusion and investors' domain preference. - Zehui Chen, Lara Dolecek:
Variability Aware Read and Write Channel Models for 1S1R Crossbar Resistive Memory with High Wordline/Bitline Resistance. - Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling:
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization. - QiZhi He, David Barajas-Solano, Guzel Tartakovsky, Alexandre M. Tartakovsky:
Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport. - Shangqing Liu, Cuiyun Gao, Sen Chen, Lun Yiu Nie, Yang Liu:
ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking. - Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto:
LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. - Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur:
Observational Overfitting in Reinforcement Learning. - Katia Huri, Eli David, Nathan S. Netanyahu:
DeepEthnic: Multi-Label Ethnic Classification from Face Images. - Qiangeng Xu, Xudong Sun, Cho-Ying Wu, Panqu Wang, Ulrich Neumann:
Grid-GCN for Fast and Scalable Point Cloud Learning. - Fei Feng, Wotao Yin, Lin F. Yang:
Does Knowledge Transfer Always Help to Learn a Better Policy? - Ziming Liu, Yixuan Wang, Zizhao Han, Dian Wu:
Influenza Modeling Based on Massive Feature Engineering and International Flow Deconvolution. - Sara Rosenthal, Preslav Nakov, Alan Ritter, Veselin Stoyanov:
SemEval-2014 Task 9: Sentiment Analysis in Twitter. - Jiahao Su, Milan Cvitkovic, Furong Huang:
Sampling-Free Learning of Bayesian Quantized Neural Networks. - Tomohiko Mizutani:
Improved Analysis of Spectral Algorithm for Clustering. - Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
Machine Translation Evaluation Meets Community Question Answering. - Shivangi Dwivedi, Murari Mandal, Shekhar Yadav, Santosh Kumar Vipparthi:
3D CNN with Localized Residual Connections for Hyperspectral Image Classification. - Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai:
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation. - Hengjia Li, Chuong V. Nguyen:
Perspective-consistent multifocus multiview 3D reconstruction of small objects. - Mikhail A. Kudinov, Alexey A. Chilikov, Evgeniy O. Kiktenko, Aleksey K. Fedorov:
Advanced attribute-based protocol based on the modified secret sharing scheme. - Chengyi Wang, Yu Wu, Yujiao Du, Jinyu Li, Shujie Liu, Liang Lu, Shuo Ren, Guoli Ye, Sheng Zhao, Ming Zhou:
Semantic Mask for Transformer based End-to-End Speech Recognition. - (Withdrawn) A priori generalization error for two-layer ReLU neural network through minimum norm solution.
- Nam Hee Kim, Zhaoming Xie, Michiel van de Panne:
Learning to Correspond Dynamical Systems. - Abubakar Siddique Muqaddas, German Sviridov, Paolo Giaccone, Andrea Bianco:
Optimal state replication in stateful data planes. - M. Saqib Nawaz, Moin Malik, Yi Li, Meng Sun, Muhammad Ikram Ullah Lali:
A Survey on Theorem Provers in Formal Methods. - Ulderico Fugacci, Michael Kerber, Hugo Manet:
Topology-Preserving Terrain Simplification. - Raphaël Tinarrage:
Recovering the homology of immersed manifolds. - Marcus D. Bloice, Peter M. Roth, Andreas Holzinger:
Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs. - Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihály Petreczky:
Improved PAC-Bayesian Bounds for Linear Regression. - Gabriela Cristescu, Vlad-Florin Dragoi:
Cubic spline approximation of the reliability polynomials of two dual hammock networks. - Wenya Wang, Sinno Jialin Pan:
Integrating Deep Learning with Logic Fusion for Information Extraction. - Guy Blanc, Jane Lange, Li-Yang Tan:
Constructive derandomization of query algorithms. - Yiding Zhang, Xiao Wang, Xunqiang Jiang, Chuan Shi, Yanfang Ye:
Hyperbolic Graph Attention Network. - Jean Dupuy, Adrien Guille, Julien Jacques:
Document Network Embedding: Coping for Missing Content and Missing Links. - Timothée Lesort, Andrei Stoian, David Filliat:
Regularization Shortcomings for Continual Learning. - Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf:
Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language Tasks. - Youngduck Choi, Youngnam Lee, Dongmin Shin, Junghyun Cho, Seoyon Park, Seewoo Lee, Jineon Baek, Byungsoo Kim, Youngjun Jang:
EdNet: A Large-Scale Hierarchical Dataset in Education. - Zhi Zhang, Yueqiang Cheng, Dongxi Liu, Surya Nepal, Zhi Wang:
TeleHammer : A Stealthy Cross-Boundary Rowhammer Technique. - Reza Najian Asl, Ihar Antonau, Aditya Ghantasala, Wulf G. Dettmer, Roland Wüchner, Kai-Uwe Bletzinger:
A partitioned scheme for adjoint shape sensitivity analysis of fluid-structure interactions involving non-matching meshes. - Jing Ge, Guangyu Gao, Zhen Liu:
Visual-Textual Association with Hardest and Semi-Hard Negative Pairs Mining for Person Search. - Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, Jaegul Choo:
Exploring Unlabeled Faces for Novel Attribute Discovery. - Vincent Fagnon, Imed Kacem, Giorgio Lucarelli, Bertrand Simon:
Scheduling on Hybrid Platforms: Improved Approximability Window. - Robert Nasdala, Daniel Potts:
Efficient multivariate approximation on the cube. - Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza:
Video to Events: Bringing Modern Computer Vision Closer to Event Cameras. - Benjamin Boutin, Thi Hoai Thuong Nguyen, Abraham Sylla, Sébastien Tran-Tien, Jean-François Coulombel:
High order numerical schemes for transport equations on bounded domains. - Jordi Pont-Tuset, Jasper R. R. Uijlings, Soravit Changpinyo, Radu Soricut, Vittorio Ferrari:
Connecting Vision and Language with Localized Narratives. - Blessed Arthur Ngwenya, Bob Osano:
Stability analysis of a Boeing 737-800. - Matthias Bolten, Stephanie Friedhoff, Jens Hahne, Sebastian Schöps:
Parallel-in-Time Simulation of an Electrical Machine using MGRIT. - Jonathan Hasenburg, Martin Grambow, David Bermbach:
FBase: A Replication Service for Data-Intensive Fog Applications. - Katerine Romeo, Edwige E. Pissaloux, Frédéric Serin:
Accessibility of websites for visually impaired persons. - Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre:
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture. - Marthe Bonamy, Paul Dorbec, Paul Ouvrard:
Dominating sets reconfiguration under token sliding. - Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Learnt dynamics generalizes across tasks, datasets, and populations. - Vladimir A. Kobzar, Robert V. Kohn, Zhilei Wang:
New Potential-Based Bounds for the Geometric-Stopping Version of Prediction with Expert Advice. - Aristotelis-Angelos Papadopoulos, Nazim Shaikh, Mohammad Reza Rajati:
Why Should we Combine Training and Post-Training Methods for Out-of-Distribution Detection? - Brittany Terese Fasy, Rafal Komendarczyk, Sushovan Majhi, Carola Wenk:
Topological and Geometric Reconstruction of Metric Graphs in Rn. - Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Pairwise Neural Machine Translation Evaluation. - He-Feng Yin, Xiao-Jun Wu, Josef Kittler:
Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning. - Marcel Sheeny, Andrew M. Wallace, Sen Wang:
300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning. - Jorge Martín-Pérez, Francesco Malandrino, Carla-Fabiana Chiasserini, Carlos J. Bernardos:
OKpi: All-KPI Network Slicing Through Efficient Resource Allocation. - Dario Pavllo, Aurélien Lucchi, Thomas Hofmann:
Controlling Style and Semantics in Weakly-Supervised Image Generation. - Carlos Granero-Belinchón, Stéphane G. Roux, Nicolas B. Garnier:
Information theory for non-stationary processes with stationary increments. - Naveen Mohan, Martin Törngren, Sagar Behere:
A Method towards the Systematic Architecting of Functionally Safe Automated Driving - Leveraging Diagnostic Specifications for FSC design. - Bruno Artacho, Andreas E. Savakis:
Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation. - Laura Ana Maria Bostan, Evgeny Kim, Roman Klinger:
GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception. - Jesper Nederlof, Céline M. F. Swennenhuis:
Parameterized Complexity of Partial Scheduling. - Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli:
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations. - Lorenzo Bisi, Luca Sabbioni, Edoardo Vittori, Matteo Papini, Marcello Restelli:
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction. - Daniel Potts, Michael Schmischke:
Learning multivariate functions with low-dimensional structures using polynomial bases. - Qipin Chen, Wenrui Hao:
A randomized Newton's method for solving differential equations based on the neural network discretization. - Maxime Cordy, Renaud Rwemalika, Mike Papadakis, Mark Harman:
FlakiMe: Laboratory-Controlled Test Flakiness Impact Assessment. A Case Study on Mutation Testing and Program Repair. - Alberto Signori, Federico Chiariotti, Filippo Campagnaro, Michele Zorzi:
A Game-Theoretic and Experimental Analysis of Energy-Depleting Underwater Jamming Attacks. - René Larisch, Michael Teichmann, Fred H. Hamker:
A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement. - Thomas Verelst, Tinne Tuytelaars:
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference. - Timothy Jeruzalski, Boyang Deng, Mohammad Norouzi, John P. Lewis, Geoffrey E. Hinton, Andrea Tagliasacchi:
NASA: Neural Articulated Shape Approximation. - Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley:
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. - Maede Zolanvari, Marcio Andrey Teixeira, Raj Jain:
Analysis of AeroMACS Data Link for Unmanned Aircraft Vehicles. - Daouda Diouf, Djibril Seck:
Modeling the Chlorophyll-a from Sea Surface Reflectance in West Africa by Deep Learning Methods: A Comparison of Multiple Algorithms. - Martin Robert, Patrick Dallaire, Philippe Giguère:
Tree bark re-identification using a deep-learning feature descriptor. - Mahya Ameryan, Lambert Schomaker:
A limited-size ensemble of homogeneous CNN/LSTMs for high-performance word classification. - Jannik Zürn, Wolfram Burgard, Abhinav Valada:
Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning. - Alejandro Mottini, Amber Roy-Chowdhury:
What Do You Mean I'm Funny? Personalizing the Joke Skill of a Voice-Controlled Virtual Assistant. - Larry Lansing, Vihan Jain, Harsh Mehta, Haoshuo Huang, Eugene Ie:
VALAN: Vision and Language Agent Navigation. - Uthaipon Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings:
Differentially Private Mixed-Type Data Generation For Unsupervised Learning. - Mario Bijelic, Tobias Gruber, Werner Ritter:
A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down? - Pietro Galliani, Jouko Väänänen:
Diversity, Dependence and Independence. - David Gunter, Toks Adedoyin:
Towards An Implementation of the Subset-sum Problem on the IBM Quantum Experience. - Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, Kevin Swersky:
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One. - Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali K. Thabet, Bernard Ghanem:
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks. - Divyat Mahajan, Chenhao Tan, Amit Sharma:
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers. - Paul Riggins, David McPherson:
Tools for Mathematical Ludology. - Mudit Verma, Siddhant Bhambri, Arun Balaji Buduru:
Making Smart Homes Smarter: Optimizing Energy Consumption with Human in the Loop. - Zhifeng Hao, Wei-Chang Yeh, Zhenyao Liu:
General Multi-State Rework Network and Reliability Algorithm. - Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov:
Geometric Capsule Autoencoders for 3D Point Clouds. - Hannah Rittich, Robert Speck:
Time-parallel simulation of the Schrödinger Equation. - Minxiang Ye, Vladimir Stankovic, Lina Stankovic, Gene Cheung:
Robust Deep Graph Based Learning for Binary Classification. - Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan:
ClusterFit: Improving Generalization of Visual Representations. - Mitchell A. Gordon, Kevin Duh:
Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation. - José Manuel Vera, Andres G. Abad:
Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles. - Shiva Poudel, Anamika Dubey, Anjan Bose:
Risk-based Probabilistic Quantification of Power Distribution System Operational Resilience. - Sandro M. Reia, Larissa F. Aquino, José F. Fontanari:
The surprising little effectiveness of cooperative algorithms in parallel problem solving. - Amir Behrouzi-Far, Emina Soljanin:
Scheduling in the Presence of Data Intensive Compute Jobs. - Amir Behrouzi-Far, Emina Soljanin:
Data Replication for Reducing Computing Time in Distributed Systems with Stragglers. - Nikhil Bansal, Haotian Jiang, Sahil Singla, Makrand Sinha:
Online Vector Balancing and Geometric Discrepancy. - Tayssir Doghri, Leszek Szczecinski, Jacob Benesty, Amar Mitiche:
Bilinear Models for Machine Learning. - Khondokar Fida Hasan, Tarandeep Kaur, Md. Mhedi Hasan, Yanming Feng:
Cognitive Internet of Vehicles: Motivation, Layered Architecture and Security Issues. - Niloofar Bayat, Kunal Mahajan, Sam Denton, Vishal Misra, Dan Rubenstein:
Down for Failure: Active Power Status Monitoring. - Mohamed K. Abdel-Aziz, Sumudu Samarakoon, Mehdi Bennis, Walid Saad:
Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach. - Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo:
Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings. - Song Fang, Quanyan Zhu:
Relativistic Control: Feedback Control of Relativistic Dynamics. - Cem Güneri, Edgar Martínez-Moro, Selcen Sayici:
Linear Complementary Pair Of Abelian Codes over Finite Chain Rings. - Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. - João Santos, Nuno Santos, David Dias:
DClaims: A Censorship Resistant Web Annotations System using IPFS and Ethereum. - Milutin Brankovic, Nikola Grujic, André van Renssen, Martin P. Seybold:
A Simple Dynamization of Trapezoidal Point Location in Planar Subdivisions. - Andrea Fronzetti Colladon, Maurizio Naldi:
Distinctiveness Centrality in Social Networks. - Naveen Arivazhagan, Colin Cherry, Te I, Wolfgang Macherey, Pallavi Baljekar, George F. Foster:
Re-Translation Strategies For Long Form, Simultaneous, Spoken Language Translation. - Heiko Kröner:
Definition and certain convergence properties of a two-scale method for Monge-Ampère type equations. - Malhar Jere, Sandro Herbig, Christine Lind, Farinaz Koushanfar:
Principal Component Properties of Adversarial Samples. - Jacob F. Pettit, Ruben Glatt, Jonathan R. Donadee, Brenden K. Petersen:
Increasing performance of electric vehicles in ride-hailing services using deep reinforcement learning. - Zhe Jia, Blake Tillman, Marco Maggioni, Daniele Paolo Scarpazza:
Dissecting the Graphcore IPU Architecture via Microbenchmarking. - Marco Liang, Michael T. Goodrich, Shuang Zhao:
On the Optical Accuracy of the Salvator Mundi. - Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page:
AutoBlock: A Hands-off Blocking Framework for Entity Matching. - Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon:
Self-Supervised 3D Keypoint Learning for Ego-motion Estimation. - Elias Dahlhaus, Sariel Har-Peled, Alan L. Hu:
Covering Polygons by Min-Area Convex Polygons. - Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li:
Does Interpretability of Neural Networks Imply Adversarial Robustness? - Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal:
Improved Few-Shot Visual Classification. - Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Deep Generalization of Structured Low Rank Algorithms (Deep-SLR). - Makoto Hamana:
Modular Termination Checking Theorems for Second-Order Computation. - Md. Khairul Islam, Toufique Ahmed, Fahim Ahmed, Anindya Iqbal:
Accepted or Abandoned? Predicting the Fate of Code Changes. - Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi:
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. - Tiffany Chien, Jugal Kalita:
Adversarial Analysis of Natural Language Inference Systems. - Behnoosh Parsa, Athma Narayanan, Behzad Dariush:
Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural Assessment. - Dawei Huang, Dong Young Yoon, Seth Pettie, Barzan Mozafari:
Joins on Samples: A Theoretical Guide for Practitioners. - Kelechi Ogueji, Orevaoghene Ahia:
PidginUNMT: Unsupervised Neural Machine Translation from West African Pidgin to English. - Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang:
DAVID: Dual-Attentional Video Deblurring. - Yingshi Chen, Jinfeng Zhu:
A novel guided deep learning algorithm to design low-cost SPP films. - Ruizhe Wang, Chih-Fan Chen, Hao Peng, Xudong Liu, Oliver Liu, Xin Li:
Digital Twin: Acquiring High-Fidelity 3D Avatar from a Single Image. - Kui Wang, Yang Yu, Chenye Wu:
Optimal Electricity Storage Sharing Mechanism for Single Peaked Time-of-Use Pricing Scheme. - Pratik Joshi, Christain Barnes, Sebastin Santy, Simran Khanuja, Sanket Shah, Anirudh Srinivasan, Satwik Bhattamishra, Sunayana Sitaram, Monojit Choudhury, Kalika Bali:
Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities. - Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu:
Dynamic Convolution: Attention over Convolution Kernels. - Lin Lin, Jinde Cao, Jianquan Lu, Jie Zhong:
Distributed Pinning Control Design for Probabilistic Boolean Networks. - Mohamed Karim Belaid:
Comparison of Neuronal Attention Models. - Mohammadreza Doostmohammadian, Usman A. Khan:
Minimal Sufficient Conditions for Structural Observability/Controllability of Composite Networks via Kronecker Product. - Jiasheng Zhang, Nan Gu, Yang Yu, Chenye Wu:
Value of Storage for Renewable Portfolio Standard. - Yiyi Zhou, Rongrong Ji, Gen Luo, Xiaoshuai Sun, Jinsong Su, Xinghao Ding, Chia-Wen Lin, Qi Tian:
A Real-time Global Inference Network for One-stage Referring Expression Comprehension. - Jianxiong Guo, Tiantian Chen, Weili Wu:
A Multi-Feature Diffusion Model: Rumor Blocking in Social Networks. - Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramaniam, Murali Annavaram:
Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments. - Bhanu Garg, Naresh Manwani:
Robust Deep Ordinal Regression Under Label Noise. - Vladimir V. Kisil:
MoebInv: C++ libraries for manipulations in non-Euclidean geometry. - Domenico Cotroneo, Antonio Ken Iannillo, Roberto Natella, Stefano Rosiello:
Dependability Assessment of the Android OS through Fault Injection. - Michal Rolínek, Vít Musil, Anselm Paulus, Marin Vlastelica P., Claudio Michaelis, Georg Martius:
Optimizing Rank-based Metrics with Blackbox Differentiation. - Cornelius Brand, Martin Koutecký, Sebastian Ordyniak:
Parameterized Algorithms for MILPs with Small Treedepth. - Jieh-Sheng Lee:
Personalized Patent Claim Generation and Measurement. - Bo Sang, Gustavo Petri, Masoud Saeida Ardekani, Srivatsan Ravi, Patrick Eugster:
Programming Scalable Cloud Services with AEON. - Asif Ali Khan, Andres Goens, Fazal Hameed, Jerónimo Castrillón:
Generalized Data Placement Strategies for Racetrack Memories. - Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Xing Li, Stefan Roth:
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving. - Warren B. Powell:
From Reinforcement Learning to Optimal Control: A unified framework for sequential decisions. - Tan N. Le, Xiao Sun, Mosharaf Chowdhury, Zhenhua Liu:
BoPF: Mitigating the Burstiness-Fairness Tradeoff in Multi-Resource Clusters. - Shuhao Sun, Dagang Li:
Flattened Exponential Histogram for Sliding Window Queries over Data Streams. - Derya Malak, Alejandro Cohen, Muriel Médard:
How to Distribute Computation in Networks. - Guilherme Maeda, Okan Koc, Jun Morimoto:
Phase Portraits as Movement Primitives for Fast Humanoid Robot Control. - Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang:
Long Term Temporal Context for Per-Camera Object Detection. - Hannah J. Murphy, Christopher X. Ren, Matthew T. Calef:
Feature Augmentation Improves Anomalous Change Detection for Human Activity Identification in Synthetic Aperture Radar Imagery. - Jamie Haddock, Anna Ma:
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin. - Constantinos Patsakis, Fran Casino, Nikolaos Lykousas, Vasilios Katos:
Unravelling Ariadne's Thread: Exploring the Threats of Decentalised DNS. - Spencer Frazier, Md Sultan Al Nahian, Mark O. Riedl, Brent Harrison:
Learning Norms from Stories: A Prior for Value Aligned Agents. - Silvia Bartolucci, Fabio Caccioli, Pierpaolo Vivo:
A percolation model for the emergence of the Bitcoin Lightning Network. - Jiachen Yang, Igor Borovikov, Hongyuan Zha:
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery. - Jan Karwowski, Jacek Mandziuk, Adam Zychowski:
Anchoring Theory in Sequential Stackelberg Games. - Yury Gryazin, Ronald Gonzales, Yun Teck Lee:
Scalable Algorithms for High Order Approximations on Compact Stencils. - Can Chen, Amit Surana, Anthony M. Bloch, Indika Rajapakse:
Data-Guided Model Reduction for Multilinear Time Invariant Systems. - Ricky T. Q. Chen, David Duvenaud:
Neural Networks with Cheap Differential Operators. - Parikshit Gopalan, Vatsal Sharan, Udi Wieder:
PIDForest: Anomaly Detection via Partial Identification. - Matthew Obetz, Stacy Patterson, Ana L. Milanova:
Formalizing Event-Driven Behavior of Serverless Applications. - Souvick Ghosh, Satanu Ghosh:
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering. - Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas:
Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. - Guangxia Li, Yulong Shen, Peilin Zhao, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi:
Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms. - Songyang Zhang, Houwen Peng, Jianlong Fu, Jiebo Luo:
Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language. - Sina Arefizadeh, Ceyhun Eksin:
Distributed Fictitious Play in Potential Games with Time-Varying Communication Networks. - Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud:
Towards a Critical Race Methodology in Algorithmic Fairness. - Peng Yang, Xing Xi, Jingxuan Chen, Tony Q. S. Quek, Xianbin Cao, Dapeng Oliver Wu:
RAN Slicing in a UAV Network for eMBB Service Provision. - Xing Xi, Xianbin Cao, Peng Yang, Jingxuan Chen, Dapeng Oliver Wu:
Non-Orthogonal Network Slicing for eMBB Service in a Multi-UAV-Aided Network. - Zhenyi Liu, Trisha Lian, Joyce E. Farrell, Brian A. Wandell:
Neural Network Generalization: The impact of camera parameters. - John R. Zech, Jessica Zosa Forde, Michael L. Littman:
Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging. - Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder:
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks. - Songyang Zhang, Houwen Peng, Le Yang, Jianlong Fu, Jiebo Luo:
Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization. - Jonathan D. Jones, Tae Soo Kim, Michael Peven, Jin Bai, Zihao Xiao, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager:
Zero-shot Recognition of Complex Action Sequences. - Jongho Park:
Additive Schwarz Methods for Convex Optimization as Gradient Methods. - Justin Norden, Matthew O'Kelly, Aman Sinha:
Efficient Black-box Assessment of Autonomous Vehicle Safety. - Linglong Dai, Bichai Wang, Min Wang, Xue Yang, Jingbo Tan, Shuangkaisheng Bi, Shenheng Xu, Fan Yang, Zhi Chen, Marco Di Renzo, Lajos Hanzo:
Reconfigurable Intelligent Surface-Based Wireless Communication: Antenna Design, Prototyping and Experimental Results. - Qi Gao, Xingli Liu, Hongping Wang, Fei Li, Peng Wu, Zhaozhuo Niu, Mansu Jin, Runjie Wei:
Post-processing techniques of 4D flow MRI: velocity and wall shear stress. - Qingnan Fan, Yingda Yin, Dongdong Chen, Yujie Wang, Angelica I. Avilés-Rivero, Ruoteng Li, Carola-Bibiane Schönlieb, Dani Lischinski, Baoquan Chen:
Deep Reflection Prior. - Abhishek Kumar, Sunabha Chatterjee, Piyush Rai:
Nonparametric Bayesian Structure Adaptation for Continual Learning. - Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox:
6-DOF Grasping for Target-driven Object Manipulation in Clutter. - Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi:
VoronoiNet: General Functional Approximators with Local Support. - Xudong Liu, Ruizhe Wang, Chih-Fan Chen, Minglei Yin, Hao Peng, Shukhan Ng, Xin Li:
Face Beautification: Beyond Makeup Transfer. - Chhavi Dhiman, Dinesh Kumar Vishwakarma:
View-invariant Deep Architecture for Human Action Recognition using late fusion. - Ali Ghofrani, Rahil Mahdian Toroghi:
Capsule-Based Persian/Arabic Robust Handwritten Digit Recognition Using EM Routing. - Liang Chen, Hakan Bagci:
Multiphysics Modeling of Plasmonic Photoconductive Devices using Discontinuous Galerkin Methods. - Kitty Varghese, Sauradip Nag:
SaLite : A light-weight model for salient object detection. - Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu:
Lossless Compression for 3DCNNs Based on Tensor Train Decomposition. - Vincent Coppé, Daan Huybrechs, Roel Matthysen, Marcus Webb:
The AZ algorithm for least squares systems with a known incomplete generalized inverse. - Yair Shemer, Daniel Rotman, Nahum Shimkin:
ILS-SUMM: Iterated Local Search for Unsupervised Video Summarization. - Johannes Schneider:
AI, how can humans communicate better with you? - Maurits J. R. Bleeker, Maarten de Rijke:
Bidirectional Scene Text Recognition with a Single Decoder. - (Withdrawn) Adaptive Trajectory Estimation with Power Limited Steering Model under Perturbation Compensation.
- Itai Lang, Asaf Manor, Shai Avidan:
SampleNet: Differentiable Point Cloud Sampling. - Lorenzo Botti, Michele Botti, Daniele A. Di Pietro:
An abstract analysis framework for monolithic discretisations of poroelasticity with application to Hybrid High-Order methods. - Zhifang Liao, Haihui Pan:
Short-term Load Forecasting with Dense Average Network. - Junyu Gao, Qi Wang, Yuan Yuan:
Feature-aware Adaptation and Structured Density Alignment for Crowd Counting in Video Surveillance. - Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
Detection of False Positive and False Negative Samples in Semantic Segmentation. - Junyu Gao, Tao Han, Qi Wang, Yuan Yuan:
Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction. - Andong Li, Chengshi Zheng, Xiaodong Li:
A Supervised Speech enhancement Approach with Residual Noise Control for Voice Communication. - Udaranga Wickramasinghe, Graham Knott, Pascal Fua:
VM-Net: Mesh Modeling to Assist Segmentation in Volumetric Data. - Xin Hou, Biao Wang, Wanqi Hu, Lei Yin, Haishan Wu:
SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery. - Xiao Han, Ziyang Fan, Chao Li, Zeyang Liu, L. Jay Guo:
High-Freedom Inverse Design with Deep Neural Network for Metasurface Filter in the Visible. - Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang:
Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation. - Dibyendu Das, Shahid Asghar Ahmad, Kumar Venkataramanan:
Deep Learning-based Hybrid Graph-Coloring Algorithm for Register Allocation. - Yi Zhong, Xueyu Chen, Yu Zhao, Xiaoming Chen, Tingfang Gao, Zuquan Weng:
Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction. - Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Suong Le, Wray L. Buntine:
MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. - Vincent Christlein, Anguelos Nicolaou, Mathias Seuret, Dominique Stutzmann, Andreas Maier:
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents. - Ahmad Alsharoa, Murat Yuksel:
Energy Efficient D2D Communications Using Multiple UAV Relays. - Sharvari T, Sowmya Nag K:
A study on Modern Messaging Systems- Kafka, RabbitMQ and NATS Streaming. - Zhiyu Yao, Yunbo Wang, Xingqiang Du, Mingsheng Long, Jianmin Wang:
Adversarial Pyramid Network for Video Domain Generalization. - Vasanthan Raghavan, Sonsay Noimanivone, Sung Kil Rho, Bernie Farin, Patrick Connor, Ricardo A. Motos, Yu-Chin Ou, Kobi Ravid, M. Ali Tassoudji, Ozge H. Koymen, Junyi Li:
Hand and Body Blockage Measurements with Form-Factor User Equipment at 28 GHz. - Wei Zhang, Chao Dong, Jianhua Yin, Jianyong Wang:
Attentive Representation Learning with Adversarial Training for Short Text Clustering. - Ahmad Alsharoa, Hakim Ghazzai, Abdullah Kadri, Ahmed E. Kamal:
Spatial and Temporal Management of Cellular HetNets with Multiple Solar Powered Drones. - Antonio Caliò, Andrea Tagarelli:
Monotone Submodular Diversity functions for Categorical Vectors with Application to Diversification of Seeds for Targeted Influence Maximization. - Shourya Bose, Pavankumar Tallapragada:
Control Under Action-Dependent Markov Packet Drops: An Event-Triggered Approach. - Alexandros Hollender:
The Classes PPA-k: Existence from Arguments Modulo k. - Fan Yang, Cheng Lu, Yandong Guo, Longin Jan Latecki, Haibin Ling:
Dually Supervised Feature Pyramid for Object Detection and Segmentation. - Behrooz Khadem, Reza Ghasemi:
Improved Algoritms in Parallel Evaluation of Large Cryptographic S-Box. - Shahbaz Rezaei, Xin Liu:
Security of Deep Learning Methodologies: Challenges and Opportunities. - Rohit Gajawada, Additya Popli, Tarang Chugh, Anoop M. Namboodiri, Anil K. Jain:
Universal Material Translator: Towards Spoof Fingerprint Generalization. - Alexander Ayriyan, Ján Busa Jr.:
Parallel algorithm for numerical solution of heat equation in complex cylindrical domain. - Lucas Gren:
A Flipped Classroom Approach to Teaching Empirical Software Engineering. - Óscar Gil, Alberto Sanfeliu:
Effects of a Social Force Model reward in Robot Navigation based on Deep Reinforcement Learning. - A. Kingsland, Daniel Fortin, E. Cary, S. Smith, Karl Pazdernik, R. Perko:
Determining Individual Origin Similarity (DInOS): Binary Classification of Authors Using Stylometric Features. - Cezara Benegui, Radu Tudor Ionescu:
A Convolutional Neural Network for User Identification based on Motion Sensors. - Weicheng Zhu, Narges Razavian:
Graph Neural Network on Electronic Health Records for Predicting Alzheimer's Disease. - Michael Pradel, Georgios Gousios, Jason Liu, Satish Chandra:
TypeWriter: Neural Type Prediction with Search-based Validation. - Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan:
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. - Irina Saparina, Anton Osokin:
Cost-Sensitive Training for Autoregressive Models. - Austin Dill, Chun-Liang Li, Songwei Ge, Eunsu Kang:
Getting Topology and Point Cloud Generation to Mesh. - (Withdrawn) Feature Engineering Combined with 1 D Convolutional Neural Network for Improved Mortality Prediction.
- Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti:
Hardening Random Forest Cyber Detectors Against Adversarial Attacks. - Rishu Garg, Saumil Maheshwari, Anupam Shukla:
Decision Support System for Detection and Classification of Skin Cancer using CNN. - Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson:
Group Fairness in Bandit Arm Selection. - Mojtaba Heidarysafa, Kamran Kowsari, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown:
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group. - Ala Alzidaneen, Ahmad Alsharoa, Mohamed-Slim Alouini:
Resource and Placement Optimization for Multiple UAVs using Backhaul Tethered Balloons. - Andrea Bonito, Ricardo H. Nochetto, Dimitrios Ntogkas:
DG Approach to Large Bending Plate Deformations with Isometry Constraint. - Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot:
Machine Unlearning. - Changxu Cheng, Qiuhui Huang, Xiang Bai, Bin Feng, Wenyu Liu:
Patch Aggregator for Scene Text Script Identification. - Ahmad Alsharoa, Mohamed-Slim Alouini:
Facilitating Satellite-Airborne-Terrestrial Integration for Dynamic and Infrastructure-less Networks. - Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn:
Meta-Learning without Memorization. - Kaiqing Zhang, Zhuoran Yang, Tamer Basar:
Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances. - Enric Boix-Adserà, Lior Eldar, Saeed Mehraban:
Approximating the Determinant of Well-Conditioned Matrices by Shallow Circuits. - Ying Wang, Zezhou Sun, Jian Yang, Hui Kong:
LiDAR Iris for Loop-Closure Detection. - Ahmad Alsharoa, Mohamed-Slim Alouini:
Improvement of the Global Connectivity using Integrated Satellite-Airborne-Terrestrial Networks with Resource Optimization. - Run Wang, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Yihao Huang, Yang Liu:
Amora: Black-box Adversarial Morphing Attack. - Tapas Nayak, Hwee Tou Ng:
Effective Attention Modeling for Neural Relation Extraction. - Yuan Xue, Jiarong Ye, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Xiaolei Huang:
Selective Synthetic Augmentation with Quality Assurance. - Shuhan Zhu, Wei Xu, Lisheng Fan, Kezhi Wang, George K. Karagiannidis:
A Novel Cross Entropy Approach for Offloading Learning in Mobile Edge Computing. - Yuan Xue, Zihan Zhou, Xiaolei Huang:
Learning Structure-Appearance Joint Embedding for Indoor Scene Image Synthesis. - Kexu Wang, Xishun Zhao:
Logarithmic-Bounded Second-Order Quantifiers and Limited Nondeterminism. - Giorgio Giannone, Jonathan Masci, Christian Osendorfer:
No Representation without Transformation. - Behnam Kiani Kalejahi, Saeed Meshgini, Ayshan Yariyeva, Dawda Ndure, Uzeyir Maharramov, Ali Farzamnia:
Big Data Security Issues and Challenges in Healthcare. - Yuan Xue, Hui Tang, Zhi Qiao, Guanzhong Gong, Yong Yin, Zhen Qian, Chao Huang, Wei Fan, Xiaolei Huang:
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps. - Ujwal Padam Tewari, Vishal Bidawatka, Varsha Raveendran, Vinay Sudhakaran:
Intelligent Coordination among Multiple Traffic Intersections Using Multi-Agent Reinforcement Learning. - Ramy Shahin, Marsha Chechik:
Variability-aware Datalog. - Yu Chen, Yisong Chen, Guoping Wang:
Bundle Adjustment Revisited. - Ljuboslav Boskic, Milan Korda, Igor Mezic:
Control-Oriented, Data-Driven Models of Thermal Dynamics. - Sami A. Malek, Alexandre M. Bayen, Steven D. Glaser:
Daily Data Assimilation of a Hydrologic Model Using the Ensemble Kalman Filter. - Zhenyi He, Ken Perlin:
Exploring Configuration of Mixed Reality Spaces for Communication. - Tachun Lin, Zhili Zhou:
Robust Network Function Virtualization. - Tao Wang, Xuming He, Yuanzheng Cai, Guobao Xiao:
Learning a Layout Transfer Network for Context Aware Object Detection. - Darlan Arruda:
QualiBD Tool: Implementation Details. - Robin Heinzler, Florian Piewak, Philipp Schindler, Wilhelm Stork:
CNN-based Lidar Point Cloud De-Noising in Adverse Weather. - Shibing Xu, Zishu Gao, Guojun Xie:
Bi-Semantic Reconstructing Generative Network for Zero-shot Learning. - Bolin Chen, Weiqi Luo, Jiwu Huang:
Universal Stego Post-processing for Enhancing Image Steganography. - Tuomo Hiippala, Malihe Alikhani, Jonas Haverinen, Timo Kalliokoski, Evanfiya Logacheva, Serafina Orekhova, Aino Tuomainen, Matthew Stone, John A. Bateman:
AI2D-RST: A multimodal corpus of 1000 primary school science diagrams. - Takuya Ohashi, Yosuke Ikegami, Kazuki Yamamoto, Wataru Takano, Yoshihiko Nakamura:
Video Motion Capture from the Part Confidence Maps of Multi-Camera Images by Spatiotemporal Filtering Using the Human Skeletal Model. - Chao-I Tuan, Yuan-Kuei Wu, Hung-yi Lee, Yu Tsao:
MITAS: A Compressed Time-Domain Audio Separation Network with Parameter Sharing. - Wenzhe Zhang, Kai Lu, Ruibo Wang, Wanqing Chi, Mingtian Shao, Huijun Wu, Mikel Luján, Xiaoping Wang:
Lightweight Container-based User Environment. - Michele Garetto, Emilio Leonardi, Giovanni Neglia:
Similarity Caching: Theory and Algorithms. - Vasiliy V. Grigoriev, Oleg Iliev, Petr N. Vabishchevich:
Computational identification of adsorption and desorption parameters for pore scale transport in periodic porous media. - Fengjiao Liu, A. Stephen Morse:
Overcoming the Obstacle of Fixed Eigenvalues in Decentralized Control. - Petros Maragos, Emmanouil Theodosis:
Tropical Geometry and Piecewise-Linear Approximation of Curves and Surfaces on Weighted Lattices. - Nicolas Gillis, Riyasat Ohib, Sergey M. Plis, Vamsi K. Potluru:
Grouped sparse projection. - Yasuhiro Fujita, Toshiki Kataoka, Prabhat Nagarajan, Takahiro Ishikawa:
ChainerRL: A Deep Reinforcement Learning Library. - Uddeshya Upadhyay, Nikunj Shah, Sucheta Ravikanti, Mayanka Medhe:
Transformer Based Reinforcement Learning For Games. - Cyrille Bonamy, Laurent Lefèvre, Gabriel Moreau:
High performance computing and energy efficiency: focus on OpenFOAM. - Petro Feketa, Alexander Schaum, Thomas Meurer:
Synchronization and multi-cluster capabilities of oscillatory networks with adaptive coupling. - Nicolas Gibelin, Rémi Cailletaud, Gabriel Moreau, Jean-François Scariot, Gabrielle Feltin, Anthony Defize:
Nova - A rainbow cloud over the Alps. - Gabriel Moreau, Bernard Maire-Amiot, David Gras, Hervé Colasuonno, Julien Bamberger, Aurélien Minet, Alain Péan, Marie-Goretti Dejean:
Why I killed my copper - Highlights about the FTTO in the ESR. - Johannes Müller, Marius Zeinhofer:
Deep Ritz revisited. - Nico Hübner, Yannick Rink, Michael Suriyah, Thomas Leibfried:
Distributed AC-DC Optimal Power Flow in the European Transmission Grid with ADMM. - Itay Mosafi, Eli David, Nathan S. Netanyahu:
Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data. - Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population. - Jan Grashöfer, Christian Titze, Hannes Hartenstein:
Attacks on Dynamic Protocol Detection of Open Source Network Security Monitoring Tools. - Meghna Khaturia, Pranav Jha, Abhay Karandikar:
Realizing the Frugal 5G Network. - Burak Uzkent, Christopher Yeh, Stefano Ermon:
Efficient Object Detection in Large Images using Deep Reinforcement Learning. - Tan M. Nguyen, Animesh Garg, Richard G. Baraniuk, Anima Anandkumar:
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers. - Zhanjing Tao, Yan Jiang, Yingda Cheng:
An adaptive high-order piecewise polynomial based sparse grid collocation method with applications. - Shouvik Mani, Mehdi Maasoumy, Sina Khoshfetrat Pakazad, Henrik Ohlsson:
Expert-guided Regularization via Distance Metric Learning. - Lucas P. N. Matias, Jefferson R. Souza, Denis F. Wolf:
Environment reconstruction on depth images using Generative Adversarial Networks. - Guillaume Gbikpi-Benissan, Frédéric Magoulès:
Coarse Space Correction for Graphic Analysis. - Remie Janssen, Mark Jones, Yukihiro Murakami:
Combining Networks using Cherry Picking Sequences. - Guillaume Gbikpi-Benissan, Patrick Callet, Frédéric Magoulès:
Spectral domain decomposition method for physically-based rendering of Royaumont abbey. - J. Fernando Hernandez-Garcia, Richard S. Sutton:
Learning Sparse Representations Incrementally in Deep Reinforcement Learning. - Aviad Elyashar, Rami Puzis, Michael Fire:
It Runs in the Family: Searching for Similar Names using Digitized Family Trees. - Joe Kileel, João M. Pereira:
Subspace power method for symmetric tensor decomposition and generalized PCA. - Alexandre Miot, Gilles Drigout:
An empirical study of neural networks for trend detection in time series. - Tim Hopkins, Les Hatton:
Defect patterns and software metric correlations in a mature ubiquitous system. - Christian Reiser, Jörg Schlötterer, Michael Granitzer:
Parallel Total Variation Distance Estimation with Neural Networks for Merging Over-Clusterings. - Anil S. Baslamisli, Partha Das, Hoang-An Le, Sezer Karaoglu, Theo Gevers:
ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition. - Mateus P. Mota, Daniel C. Araujo, Francisco Hugo Costa Neto, André L. F. de Almeida, Francisco Rodrigo Porto Cavalcanti:
Adaptive Modulation and Coding based on Reinforcement Learning for 5G Networks. - Sasikanth Goteti, Swapnil Kumar:
Novel Approach for Solving a Variant of Equal Flow Problem. - Hilal Asi, John C. Duchi, Omid Javidbakht:
Element Level Differential Privacy: The Right Granularity of Privacy. - Gang Chen, Shengyu He, Haitao Meng, Kai Huang:
PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones. - Weifeng Xu, Glenn A. Fink:
Building Executable Secure Design Models for Smart Contracts with Formal Methods. - Haomin Shi, Yao Zhang, Zilin Si, Letong Wang, Dengji Zhao:
Maximal Information Propagation with Budgets. - Amritanshu Agrawal, Tim Menzies:
Is AI different for SE? - Peter Benner, Claudia Draxl, Andreas Marek, Carolin Penke, Christian Vorwerk:
High Performance Solution of Skew-symmetric Eigenvalue Problems with Applications in Solving the Bethe-Salpeter Eigenvalue Problem. - Takayuki Osa, Shuhei Ikemoto:
Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes. - Thuat Do, Thao Nguyen, Hung Pham:
Delegated Proof of Reputation: a novel Blockchain consensus. - Wei Xiao, Calin A. Belta, Christos G. Cassandras:
Feasibility-Guided Learning for Robust Control in Constrained Optimal Control Problems. - Farid Kenarangi, Xuan Hu, Yihan Liu, Jean Anne C. Incorvia, Joseph S. Friedman, Inna Partin-Vaisband:
Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification. - Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman:
Synthetic Humans for Action Recognition from Unseen Viewpoints. - Fuyang Huang, Ailing Zeng, Minhao Liu, Qiuxia Lai, Qiang Xu:
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image. - Gabriëlle Ras, Luca Ambrogioni, Umut Güçlü, Marcel A. J. van Gerven:
Temporal Factorization of 3D Convolutional Kernels. - Qiaoyun Wu, Kai Xu, Jun Wang, Mingliang Xu, Dinesh Manocha:
Reinforcement Learning based Visual Navigation with Information-Theoretic Regularization. - Juntao Chen, Quanyan Zhu:
Control of Multi-Layer Mobile Autonomous Systems in Adversarial Environments: A Games-in-Games Approach. - Piotr Gawlowicz, Anatolij Zubow, Suzan Bayhan, Adam Wolisz:
OfdmFi: Enabling Cross-Technology Communication Between LTE-U/LAA and WiFi. - Felipe Gómez-Cuba, Michele Zorzi:
Optimal Link Scheduling in Millimeter Wave Multi-hop Networks with MU-MIMO radios. - Qiaosheng Eric Zhang, Vincent Y. F. Tan, Changho Suh:
Community Detection and Matrix Completion with Two-Sided Graph Side-Information. - Polychronis Charitidis, Stavros Doropoulos, Stavros Vologiannidis, Ioannis Papastergiou, Sophia Karakeva:
Towards countering hate speech and personal attack in social media. - Sébastien Déjean, Radu Tudor Ionescu, Josiane Mothe, Md. Zia Ullah:
Forward and Backward Feature Selection for Query Performance Prediction. - Liang Zhao, Yang Wang, Daxiang Dong, Hao Tian:
Learning to Recommend via Meta Parameter Partition. - Liang Chen, Yangjun Xu, Fenfang Xie, Min Huang, Zibin Zheng:
Data Poisoning Attacks on Neighborhood-based Recommender Systems. - Shaurya Rohatgi, Wei Zhong, Richard Zanibbi, Jian Wu, C. Lee Giles:
Query Auto Completion for Math Formula Search. - Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda:
Recurrent Point Processes for Dynamic Review Models. - Adi Szeskin, Lev Faivishevsky, Ashwin K. Muppalla, Amitai Armon, Tom Hope:
A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units. - Ansgar Kellner, Lisa Rangosch, Christian Wressnegger, Konrad Rieck:
Political Elections Under (Social) Fire? Analysis and Detection of Propaganda on Twitter. - Leonardo Gutiérrez-Gómez, Alexandre Bovet, Jean-Charles Delvenne:
Multi-scale Anomaly Detection on Attributed Networks. - Rémi Denis-Courmont, Hans Liljestrand, Carlos Chinea Perez, Jan-Erik Ekberg:
Camouflage: Hardware-assisted CFI for the ARM Linux kernel. - Ivo Steinbrecher, Matthias Mayr, Maximilian J. Grill, Johannes Kremheller, Christoph Meier, Alexander Popp:
A mortar-type finite element approach for embedding 1D beams into 3D solid volumes. - Zhongshu Xu, Yingzhou Li, Xiuyuan Cheng:
Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization. - Vanni Noferini, Leonardo Robol, Raf Vandebril:
Structured backward errors in linearizations. - Philipp Henzler, Niloy J. Mitra, Tobias Ritschel:
Learning a Neural 3D Texture Space from 2D Exemplars. - Adi Ditkowski, Sigal Gottlieb, Zachary J. Grant:
Two-derivative error inhibiting schemes with post-processing. - Hanten Chang, Katsuya Futagami:
Reinforcement Learning with Convolutional Reservoir Computing. - Geoffroy Dubourg-Felonneau, Omar Darwish, Christopher Parsons, Dami Rebergen, John W. Cassidy, Nirmesh Patel, Harry W. Clifford:
Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer. - Ainesh Bakshi, Nadiia Chepurko, David P. Woodruff:
Robust and Sample Optimal Algorithms for PSD Low-Rank Approximation. - Olle Abrahamsson, Danyo Danev, Erik G. Larsson:
Opinion Dynamics with Random Actions and a Stubborn Agent. - Tianpei Xia, Jianfeng Chen, Rui Shu, Tim Menzies:
Sequential Model Optimization for Software Process Control. - Razieh Tavakoli, Ali Sharifara, Mohammad Najafi:
Prediction of Sewer Pipe Deterioration Using Random Forest Classification. - Aaron J. Havens, Yi Ouyang, Prabhat Nagarajan, Yasuhiro Fujita:
Learning Latent State Spaces for Planning through Reward Prediction. - Eberhard Bänsch, Pedro Morin:
Convective transport in nanofluids: regularity of solutions and error estimates for finite element approximations. - Linh Hoang, Gerry Oei, Dasom Eom:
Subreddit R/unpopularopinion: Against the Spiral of Silence. - Pawel Przybylowicz, Michaela Szölgyenyi:
Existence, uniqueness, and approximation of solutions of jump-diffusion SDEs with discontinuous drift. - Ilya Kavalerov, Wojciech Czaja, Rama Chellappa:
cGANs with Multi-Hinge Loss. - Tom White:
Shared Visual Abstractions. - Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng, Vijay Ramaseshan Chandrasekhar:
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. - Christina Ilvento:
Implementing the Exponential Mechanism with Base-2 Differential Privacy. - Allan Jabri, Kyle Hsu, Ben Eysenbach, Abhishek Gupta, Sergey Levine, Chelsea Finn:
Unsupervised Curricula for Visual Meta-Reinforcement Learning. - Casey Meehan, Kamalika Chaudhuri:
Location Trace Privacy Under Conditional Priors. - Harshal Tupsamudre, Sukanya Vaddepalli, Vijayanand Banahatti, Sachin Lodha:
Extended- Force vs Nudge : Comparing Users' Pattern Choices on SysPal and TinPal. - Tino Fuhrman, David Schneider, Felix Altenberg, Tung Nguyen, Simon Blasen, Stefan Constantin, Alex Waibel:
An Interactive Indoor Drone Assistant. - Krzysztof Nowicki:
A Deterministic Algorithm for the MST Problem in Constant Rounds of Congested Clique. - Jacobo Roa-Vicens, Yuanbo Wang, Virgile Mison, Yarin Gal, Ricardo Silva:
Adversarial recovery of agent rewards from latent spaces of the limit order book. - Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler:
Self-supervised Object Motion and Depth Estimation from Video. - Taimur Hassan, Salman H. Khan, Samet Akcay, Mohammed Bennamoun, Naoufel Werghi:
Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs. - Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke:
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging. - Moein Hasani, Hassan Khotanlou:
An Empirical Study on Position of the Batch Normalization Layer in Convolutional Neural Networks. - Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin:
Side-Aware Boundary Localization for More Precise Object Detection. - Jeffrey Negrea, Gintare Karolina Dziugaite, Daniel M. Roy:
In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors. - Vero Estrada-Galiñanes, Racin Nygaard, Viktor Trón, Rodrigo Q. Saramago, Leander Jehl, Hein Meling:
[Invited talk] Building a Disaster-resilient Storage Layer for Next Generation Networks: The Role of Redundancy. - Aljaz Bozic, Michael Zollhöfer, Christian Theobalt, Matthias Nießner:
DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data. - Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek:
Efficient approximation of high-dimensional functions with deep neural networks. - Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara:
STAGE: Spatio-Temporal Attention on Graph Entities for Video Action Detection. - Navid Naderializadeh, Seyed Mohammad Asghari:
Learning to Code: Coded Caching via Deep Reinforcement Learning. - Jan Giesselmann, Fabian Meyer, Christian Rohde:
Error control for statistical solutions. - Daniel P. Mohr, Peter Huber, Mierk Schwabe, Christina A. Knapek:
3D Particle Positions from Computer Stereo Vision in PK-4. - Daigo Shishika, James Paulos, Vijay Kumar:
Cooperative Team Strategies for Multi-player Perimeter-Defense Games. - José Luis Mancilla-Aguilar, Hernan Haimovich, Petro Feketa:
Uniform stability of nonlinear time-varying impulsive systems with eventually uniformly bounded impulse frequency. - Shuran Song, Andy Zeng, Johnny Lee, Thomas A. Funkhouser:
Grasping in the Wild: Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations. - Mengchen Wang, Nicolas Férey, Patrick Bourdot, Frédéric Magoulès:
Using asynchronous simulation approach for interactive simulation. - Mengchen Wang, Nicolas Férey, Patrick Bourdot, Frédéric Magoulès:
Interactive 3D fluid simulation: steering the simulation in progress using Lattice Boltzmann Method. - Pengfei Li, Weichao Qiu, Michael Peven, Gregory D. Hager, Alan L. Yuille:
Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints. - Tyler Dauphinee, Nikunj Patel, Mohammad Rashidi:
Modular Multimodal Architecture for Document Classification. - Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. - Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang:
Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem. - Douglas Aberdeen, Jonathan Baxter:
General Matrix-Matrix Multiplication Using SIMD features of the PIII. - Alexander Mai, Joseph Menke, Allen Y. Yang:
Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data. - Matthias A. Cremon, Nicola Castelletto, Joshua A. White:
Multi-Stage Preconditioners for Thermal-Compositional-Reactive Flow in Porous Media. - Johannes Blümlein, Peter Marquard, Carsten Schneider:
A refined machinery to calculate large moments from coupled systems of linear differential equations. - Harrison Nguyen, Simon Luo, Fabio Ramos:
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training. - Klaus Heeger, Anne-Sophie Himmel, Frank Kammer, Rolf Niedermeier, Malte Renken, Andrej Sajenko:
Multistage Problems on a Global Budget. - Monimoy Bujarbaruah, Charlott Vallon:
Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint. - Marco Bondaschi, Marco Dalai:
Revisiting zero-rate bounds on the reliability function of discrete memoryless channels. - Albert Akhriev, Jakub Marecek:
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection. - Seid Muhie Yimam, Abinew Ali Ayele, Chris Biemann:
Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic. - Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti:
Basis Prediction Networks for Effective Burst Denoising with Large Kernels. - Abhijit Suprem, Rodrigo Alves Lima, Bruno Padilha, João Eduardo Ferreira, Calton Pu:
Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking in Multi-Camera Networks. - Pedro Savarese, Hugo Silva, Michael Maire:
Winning the Lottery with Continuous Sparsification. - Paritosh Parmar, Brendan Morris:
HalluciNet-ing Spatiotemporal Representations Using 2D-CNN. - Kaipeng Li, James McNaney, Chance Tarver, Oscar Castañeda, Charles Jeon, Joseph R. Cavallaro, Christoph Studer:
Design Trade-offs for Decentralized Baseband Processing in Massive MU-MIMO Systems. - Xiaying Wang, Lukas Cavigelli, Manuel Eggimann, Michele Magno, Luca Benini:
HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data. - Hossein Moradian, Solmaz S. Kia:
A Study on Accelerating Average Consensus Algorithms Using Delayed Feedback. - Laura M. Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine:
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos. - Alexey Drutsa, Viktoriya Farafonova, Valentina Fedorova, Olga Megorskaya, Evfrosiniya Zerminova, Olga Zhilinskaya:
Practice of Efficient Data Collection via Crowdsourcing at Large-Scale. - Alexander Shmakov, John B. Lanier, Stephen McAleer, Rohan Achar, Cristina V. Lopes, Pierre Baldi:
ColosseumRL: A Framework for Multiagent Reinforcement Learning in N-Player Games. - Rishu Garg, Rekh Ram Janghel, Yogesh Rathore:
Enhancing Learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer's disease. - Huiming Chen, H. C. Wu, S. C. Chan, Wong-Hing Lam:
A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization with Applications. - Yuncheng Jiang, Xiaofeng Jin, Yanfei Xiong, Zhaoyong Liu:
A Dynamic Motion Planning Framework for Autonomous Driving in Urban Environments. - Yingqian Wang, Tianhao Wu, Jun-Gang Yang, Longguang Wang, Wei An, Yulan Guo:
DeOccNet: Learning to See Through Foreground Occlusions in Light Fields. - Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim:
Learning to Discriminate Information for Online Action Detection. - Shiyuan Huang, Xudong Lin, Svebor Karaman, Shih-Fu Chang:
Flow-Distilled IP Two-Stream Networks for Compressed Video Action Recognition. - Vanessa Putnam, Lea Riegel, Cristina Conati:
Toward XAI for Intelligent Tutoring Systems: A Case Study. - Yudong Jiang, Kaixu Cui, Leilei Chen, Canjin Wang, Chen Wang, Hui Liu, Changliang Xu:
Comprehensive Soccer Video Understanding: Towards Human-comparable Video Understanding System in Constrained Environment. - Yinxing Xue, Jiaming Ye, Mingliang Ma, Lei Ma, Yi Li, Haijun Wang, Yun Lin, Tianyong Peng, Yang Liu:
Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules. - Mika Göös, Pritish Kamath, Katerina Sotiraki, Manolis Zampetakis:
On the Complexity of Modulo-q Arguments and the Chevalley-Warning Theorem. - Bhaskar Mitra, Nick Craswell:
Duet at TREC 2019 Deep Learning Track. - Daniel S. Brown, Scott Niekum:
Deep Bayesian Reward Learning from Preferences. - Zhong Ouyang:
Development of a Tendon Driven Variable Stiffness Continuum Robot with Layer Jamming. - Pei Xie, He-Feng Yin, Xiao-Jun Wu:
Low-rank representations with incoherent dictionary for face recognition. - Sawsan Alqahtani, Hanan Aldarmaki, Mona T. Diab:
Homograph Disambiguation Through Selective Diacritic Restoration. - Sam Likun Xi, Yuan Yao, Kshitij Bhardwaj, Paul N. Whatmough, Gu-Yeon Wei, David Brooks:
SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads. - Shouvik Ganguly, Seung-Eun Hong, Young-Han Kim:
On the Capacity Regions of Cloud Radio Access Networks with Limited Orthogonal Fronthaul. - Pulak Purkait, Tat-Jun Chin, Ian D. Reid:
NeuRoRA: Neural Robust Rotation Averaging. - Junjie Zhang, Lingqiao Liu, Peng Wang, Chunhua Shen:
To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions. - Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani:
Listen to Look: Action Recognition by Previewing Audio. - Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li:
SOLO: Segmenting Objects by Locations. - T. J. Gaffney, Marc Harper, Vincent A. Knight:
Memory depth of finite state machine strategies for the iterated prisoner's dilemma. - Longchun Wang, Lankun Guo, Qingguo Li:
Continuous Domains in Formal Concept Analysis. - Kirthi Shankar Sivamani:
Feature Losses for Adversarial Robustness. - Jun Wang, Ehssan Nazockdast, Alex H. Barnett:
An integral equation method for the simulation of doubly-periodic suspensions of rigid bodies in a shearing viscous flow. - Mohammed Amer, Tomás Maul:
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing. - Pan Xu, Quanquan Gu:
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation. - Rob van Glabbeek, Vincent Gramoli, Pierre Tholoniat:
Cross-Chain Payment Protocols with Success Guarantees. - Wenchi Ma, Yuanwei Wu, Feng Cen, Guanghui Wang:
MDFN: Multi-Scale Deep Feature Learning Network for Object Detection. - Shuaicheng Liu, Zehao Zhang, Kai Song, Bing Zeng:
Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability. - April Lia Hananto, Arip Solehudin, Agung Susilo Yuda Irawan, Bayu Priyatna:
Analyzing the Kasiski Method Against Vigenere Cipher. - Yige Zhang, Aaron Yi Ding, Jörg Ott, Mingxuan Yuan, Jia Zeng, Kun Zhang, Weixiong Rao:
Transfer Learning-Based Outdoor Position Recovery with Telco Data. - Victoria Lin, Jeffrey M. Girard, Louis-Philippe Morency:
Context-Dependent Models for Predicting and Characterizing Facial Expressiveness. - AmirMahdi Ahmadinejad, Jonathan A. Kelner, Jack Murtagh, John Peebles, Aaron Sidford, Salil P. Vadhan:
High-precision Estimation of Random Walks in Small Space. - Ence Zhou, Haoli Sun, Bingfeng Pi, Jun Sun, Kazuhiro Yamashita, Yoshihide Nomura:
Ledgerdata Refiner: A Powerful Ledger Data Query Platform for Hyperledger Fabric. - Francesca Baldini, Animashree Anandkumar, Richard M. Murray:
Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data. - Kan Li, José C. Príncipe:
No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features. - Meng Hua, Luxi Yang, Cunhua Pan, Arumugam Nallanathan:
Throughput Maximization for Full-Duplex UAV Aided Small Cell Wireless Systems. - Michal Derezinski, Feynman T. Liang, Michael W. Mahoney:
Exact expressions for double descent and implicit regularization via surrogate random design. - Shiva Poudel, Anamika Dubey:
Critical Load Restoration using Distributed Energy Resources for Resilient Power Distribution System. - Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Qi Tian:
Appending Adversarial Frames for Universal Video Attack. - Anandini Gandluru, Shiva Poudel, Anamika Dubey:
Joint Estimation of Operational Topology and Outages for Unbalanced Power Distribution Systems. - Ibrahim Yilmaz, Rahat Masum:
Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques. - Pulak Purkait, Christopher Zach, Ian David Reid:
Learning to generate new indoor scenes. - Ahmad Abadleh:
Accurate Entrance Position Detection Based on Wi-Fi and GPS Signals Using Machine Learning. - Jinjin Zhang, Wei Wang, Di Huang, Qingjie Liu, Yunhong Wang:
A Feasible Framework for Arbitrary-Shaped Scene Text Recognition. - Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh A. P.:
Towards Latent Space Optimality for Auto-Encoder Based Generative Models. - Ali Bereyhi, Ralf R. Müller:
An Adaptive Bayesian Framework for Recovery of Sources with Structured Sparsity. - Gedas Bertasius, Lorenzo Torresani:
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation. - Hemank Lamba, Shashank Srikanth, Dheeraj Reddy Pailla, Shwetanshu Singh, Karandeep Juneja, Ponnurangam Kumaraguru:
Driving The Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks. - Alexander V. Chikitkin, Egor K. Kornev, Vladimir A. Titarev:
Numerical solution of the Boltzmann equation with S-model collision integral using tensor decompositions. - Baptiste Delos, Nicolas Mellado, David Vanderhaeghe, Rémi Cozot:
RGB Point Cloud Manipulation with Triangular Structures for Artistic Image Recoloring. - Thomas Espitau, Paul Kirchner, Pierre-Alain Fouque:
Algebraic and Euclidean Lattices: Optimal Lattice Reduction and Beyond. - Konstantinos Rematas, Vittorio Ferrari:
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool. - Pouria Derakhshanfar, Xavier Devroey, Gilles Perrouin, Andy Zaidman, Arie van Deursen:
Search-based Crash Reproduction using Behavioral Model Seeding. - Yan Bin Ng, Basura Fernando:
Forecasting Future Sequence of Actions to Complete an Activity. - Yong Huang, Wei Wang, Yiyuan Wang, Tao Jiang, Qian Zhang:
Lightweight Sybil-Resilient Multi-Robot Networks by Multipath Manipulation. - Anna Breit, Asan Agibetov, Matthias Samwald:
OpenBioLink: A resource and benchmarking framework for large-scale biomedical link prediction. - Mert Kayhan, Okan Köpüklü, Mhd Hasan Sarhan, Mehmet Yigitsoy, Abouzar Eslami, Gerhard Rigoll:
Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments. - Grzegorz Kurzejamski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Simon Lynen, Tomasz Trzcinski:
SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching. - Marguerite Delcourt, Jean-Yves Le Boudec:
TDOA Source-Localization Technique Robust to Timing Attacks. - Alessandro Betti, Marco Gori:
Backprop Diffusion is Biologically Plausible. - Gustavo Penha, Alexandru Balan, Claudia Hauff:
Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset. - Vincent Despré, Jean-Marc Schlenker, Monique Teillaud:
Flipping Geometric Triangulations on Hyperbolic Surfaces. - Peng Dai, Yinda Zhang, Zhuwen Li, Shuaicheng Liu, Bing Zeng:
Neural Point Cloud Rendering via Multi-Plane Projection. - Jonas Traub, Julius Hülsmann, Sebastian Breß, Tilmann Rabl, Volker Markl:
SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence. - Kohei Yamashita, Shohei Nobuhara, Ko Nishino:
3D-GMNet: Learning to Estimate 3D Shape from A Single Image As A Gaussian Mixture. - Lu Li, Zhongheng He, Xiangyang Zhou, Dianhai Yu:
How to Evaluate the Next System: Automatic Dialogue Evaluation from the Perspective of Continual Learning. - Thanh Bui, Siddharth Prakash Rao, Markku Antikainen, Tuomas Aura:
Client-side Vulnerabilities in Commercial VPNs. - Karol Kis, Martin Klauco:
Neural Network Based Explicit MPC for Chemical Reactor Control. - Vanika Singhal, Angshul Majumdar:
Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning. - Frank E. Schneider, Dennis Wildermuth:
Assessing the Search and Rescue Domain as an Applied and Realistic Benchmark for Robotic Systems. - Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang:
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. - Dominik Kowald, Markus Schedl, Elisabeth Lex:
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. - E. G. Kondakova, A. Ya. Kanel-Belov:
Probabilistic methods of bypassing the maze using stones and a random number sensor. - Qi Yan, Li Jiang, Solmaz S. Kia:
Measurement Scheduling for Cooperative Localization in Resource-constrained Conditions. - Joaquim Comas, Decky Aspandi, Xavier Binefa:
End-to-end facial and physiological model for \\Affective Computing and applications. - Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results. - Michael J. Coblenz, Gauri Kambhatla, Paulette Koronkevich, Jenna L. Wise, Celeste Barnaby, Jonathan Aldrich, Joshua Sunshine, Brad A. Myers:
User-Centered Programming Language Design in the Obsidian Smart Contract Language. - Jianming Huang, Yu Hua:
A Write-Friendly and Fast-Recovery Scheme for Security Metadata in NVM. - Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux:
Transformed Subspace Clustering. - Xuhang Ying, Giuseppe Bernieri, Mauro Conti, Linda Bushnell, Radha Poovendran:
Covert Channel-Based Transmitter Authentication in Controller Area Networks. - Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli:
Near-Optimal Rapid MPC using Neural Networks: A Primal-Dual Policy Learning Framework. - Warit Sirichotedumrong, Yuma Kinoshita, Hitoshi Kiya:
On the Security of Pixel-Based Image Encryption for Privacy-Preserving Deep Neural Networks. - Amir Farzad, T. Aaron Gulliver:
Oversampling Log Messages Using a Sequence Generative Adversarial Network for Anomaly Detection and Classification. - Nikesh Bajaj, Tracy Goodluck Constance, Marvin Rajwadi, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings, Chris Woodruff, James Laird:
Fraud detection in telephone conversations for financial services using linguistic features. - Shoufa Chen, Yunpeng Chen, Shuicheng Yan, Jiashi Feng:
Efficient Differentiable Neural Architecture Search with Meta Kernels. - Aanchal Mongia, Neha Jhamb, Emilie Chouzenoux, Angshul Majumdar:
Deep Latent Factor Model for Collaborative Filtering. - Deniz Ekiz, Yekta Said Can, Yagmur Ceren Dardagan, Cem Ersoy:
Is Your Smartband Smart Enough to Know Who You Are: Towards Continuous Physiological Authentication in The Wild. - Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley:
Sound Event Detection of Weakly Labelled Data with CNN-Transformer and Automatic Threshold Optimization. - Luis Guijarro, José R. Vidal, Vicent Pla:
Competition between tenants with strategic resource allocation in 5G network slicing. - Daniel Neider, Patrick Totzke, Martin Zimmermann:
Optimally Resilient Strategies in Pushdown Safety Games. - Yuval Filmus:
Asymptotic performance of the Grimmett-McDiarmid heuristic. - Yonglin Tian, Lichao Huang, Xuesong Li, Yuan Li, Zilei Wang, Fei-Yue Wang:
Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds. - Marta R. Costa-jussà, Pau Li Lin, Cristina España-Bonet:
GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies. - Erfan Andesta, Fathiyeh Faghih, Mahdi Fooladgar:
Testing Smart Contracts Gets Smarter. - Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman:
Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks. - Taiyang Zhao:
A Novel Topology for End-to-end Temporal Classification and Segmentation with Recurrent Neural Network. - Yulin Hu, Xiaopeng Yuan, Tianyu Yang, Bruno Clerckx, Anke Schmeink:
On the Convex Properties of Wireless Power Transfer with Nonlinear Energy Harvesting. - Javier Hernandez-Ortega, Roberto Daza, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia:
edBB: Biometrics and Behavior for Assessing Remote Education. - Chen Liu, Mathieu Salzmann, Sabine Süsstrunk:
On Certifying Robust Models by Polyhedral Envelope. - Zeta Avarikioti, Lioba Heimbach, Yuyi Wang, Roger Wattenhofer:
Ride the Lightning: The Game Theory of Payment Channels. - Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo:
Learning Depth-Guided Convolutions for Monocular 3D Object Detection. - Lars Lien Ankile, Kjartan Krange, Yuto Yagi:
Approximate Strategy-Proofness in Large, Two-Sided Matching Markets. - Debaditya Roy, Tetsuhiro Ishizaka, C. Krishna Mohan, Atsushi Fukuda:
Detection of Collision-Prone Vehicle Behavior at Intersections using Siamese Interaction LSTM. - Blai Bonet, Hector Geffner:
Qualitative Numeric Planning: Reductions and Complexity. - Bernhard Endtmayer, Ulrich Langer, Jan Philipp Thiele, Thomas Wick:
Hierarchical DWR Error Estimates for the Navier Stokes Equation: h and p Enrichment. - Felix Martin Schuhknecht, Ankur Sharma, Jens Dittrich, Divya Agrawal:
ChainifyDB: How to Blockchainify any Data Management System. - Jocelyn Sunseri, David Ryan Koes:
libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications. - Samuel Kim, Peter Y. Lu, Srijon Mukherjee, Michael Gilbert, Li Jing, Vladimir Ceperic, Marin Soljacic:
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery. - Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer:
Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information. - Chris Xiaoxuan Lu, Bowen Du, Hongkai Wen, Sen Wang, Andrew Markham, Ivan Martinovic, Yiran Shen, Niki Trigoni:
Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning. - Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov:
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. - Vinnie Ko, Stefan Oehmcke, Fabian Gieseke:
Magnitude and Uncertainty Pruning Criterion for Neural Networks. - Angie W. Boggust, Brandon Carter, Arvind Satyanarayan:
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples. - Anudit Nagar:
Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing. - Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask:
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. - Anna Pia Lohfink, Simon Duque Antón, Hans Dieter Schotten, Heike Leitte, Christoph Garth:
Security in Process: Visually Supported Triage Analysis in Industrial Process Data. - Riley Murray, Christian Kroer, Alex Peysakhovich, Parikshit Shah:
Robust Market Equilibria with Uncertain Preferences. - Zijo Kenjar, Tommaso Frassetto, David Gens, Michael Franz, Ahmad-Reza Sadeghi:
V0LTpwn: Attacking x86 Processor Integrity from Software. - Brenden K. Petersen:
Deep symbolic regression: Recovering mathematical expressions from data via policy gradients. - Rediet Abebe, Solon Barocas, Jon M. Kleinberg, Karen Levy, Manish Raghavan, David G. Robinson:
Roles for Computing in Social Change. - Damith A. Senanayake, Wei Wang, Shalin H. Naik, Saman K. Halgamuge:
Self Organizing Nebulous Growths for Robust and Incremental Data Visualization. - Jesse Geneson:
An algorithm for bounding extremal functions of forbidden sequences. - Sasikanth Raghava Goteti:
Modelling curvature of a bent paper leaf. - Hong Zhu, Dongmei Liu, Ian Bayley, Rachel Harrison, Fabio Cuzzolin:
Datamorphic Testing: A Methodology for Testing AI Applications. - Thomas L. Mohren, Thomas L. Daniel, Steven L. Brunton:
Learning Precisely Timed Feedforward Control of the Sensor-Denied Inverted Pendulum. - Solon Barocas, Andrew D. Selbst, Manish Raghavan:
The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons. - Fatima Salahdine, Elias Ghribi, Naima Kaabouch:
A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks. - Georgi Tinchev, Adrián Peñate Sánchez, Maurice F. Fallon:
SKD: Unsupervised Keypoint Detecting for Point Clouds using Embedded Saliency Estimation. - Min-Jhe Lu, Chun Liu, Shuwang Li:
Nonlinear simulation of an elastic tumor-host interface. - Bogdana Rakova, Laura Kahn:
Dynamic Algorithmic Service Agreements Perspective. - Ryan Szeto, Mostafa El-Khamy, Jungwon Lee, Jason J. Corso:
HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks. - Bogdana Rakova, Nick DePalma:
Minority report detection in refugee-authored community-driven journalism using RBMs. - Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Analyzing and Improving the Image Quality of StyleGAN. - Sai P. Selvaraj, Sandeep Konam:
Medication Regimen Extraction From Clinical Conversations. - Ricardo G. Durán, Lucia Gastaldi, Ariel L. Lombardi:
Analysis of finite element approximations of Stokes equations with non-smooth data. - Dimiter Dobrev:
Before we can find a model, we must forget about perfection. - Michalis Lioudakis, Stamatis Outsios, Michalis Vazirgiannis:
An Ensemble Method for Producing Word Representations for the Greek Language. - Min-Jhe Lu, Chun Liu, John S. Lowengrub, Shuwang Li:
Complex far-field geometries determine the stability of solid tumor growth with chemotaxis. - Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. - Debasmit Das, C. S. George Lee:
A Two-Stage Approach to Few-Shot Learning for Image Recognition. - Peiyun Hu, David Held, Deva Ramanan:
Learning to Optimally Segment Point Clouds. - Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. - Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan:
What You See is What You Get: Exploiting Visibility for 3D Object Detection. - Yuxuan Yuan, Kaveh Dehghanpour, Fankun Bu, Zhaoyu Wang:
Outage Detection in Partially Observable Distribution Systems using Smart Meters and Generative Adversarial Networks. - Changlong Wu, Narayana Prasad Santhanam:
Almost Uniform Sampling From Neural Networks. - Maen Alzubi, Mohammad Almseidin, Mohd Aaqib Lone, Szilveszter Kovács:
Fuzzy Rule Interpolation Toolbox for the GNU Open-Source OCTAVE. - Nadir Bengana, Janne Heikkilä:
Improving land cover segmentation across satellites using domain adaptation. - Boying Li, Danping Zou, Daniele Sartori, Ling Pei, Wenxian Yu:
TextSLAM: Visual SLAM with Planar Text Features. - Bo Chen, Decai Li, Yuqing He, Chunsheng Hua:
SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction. - Yichen Li, Xingchao Peng:
Learning Domain Adaptive Features with Unlabeled Domain Bridges. - Zhenyu Weng, Yuesheng Zhu:
Efficient Querying from Weighted Binary Codes. - Alexander Ziller, Julius Hansjakob, Vitalii Rusinov, Daniel Zügner, Peter Vogel, Stephan Günnemann:
Oktoberfest Food Dataset. - Desmond C. Ong, Zhengxuan Wu, Zhi-Xuan Tan, Marianne Reddan, Isabella Kahhale, Alison Mattek, Jamil Zaki:
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset. - Zachary Friggstad, Maryam Mahboub:
Graph Pricing with Limited Supply. - Felix Bießmann, Dionysius Irza Refiano:
A psychophysics approach for quantitative comparison of interpretable computer vision models. - Yaoyu Hu, Weikun Zhen, Sebastian A. Scherer:
Deep-Learning Assisted High-Resolution Binocular Stereo Depth Reconstruction. - Huai Yu, Weikun Zhen, Wen Yang, Sebastian A. Scherer:
Line-based Camera Pose Estimation in Point Cloud of Structured Environments. - Mayukh Bhattacharyya, Sayan Nag:
Hybrid Style Siamese Network: Incorporating style loss in complimentary apparels retrieval. - Wilson Yan, Jonathan Ho, Pieter Abbeel:
Natural Image Manipulation for Autoregressive Models Using Fisher Scores. - Saman Fahandezh-Saadi, Di Wang, Masayoshi Tomizuka:
Robust Feature-Based Point Registration Using Directional Mixture Model. - Sannidhan M. S, Sunil Kumar Aithal, Abhir Bhandary:
A Comprehensive Review On Various State Of Art Techniques For Eye Blink Detection. - Pablo Navarro, José Ignacio Orlando, Claudio Delrieux, Emmanuel Iarussi:
SketchZooms: Deep multi-view descriptors for matching line drawings. - Nicola Zaltron, Luisa Zurlo, Sebastian Risi:
CG-GAN: An Interactive Evolutionary GAN-based Approach for Facial Composite Generation). - Xiao Yang, Fangyun Wei, Hongyang Zhang, Xiang Ming, Jun Zhu:
Design and Interpretation of Universal Adversarial Patches in Face Detection. - Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Conformance Checking Approximation using Subset Selection and Edit Distance. - Dong Han, Zuhao Zou, Lujia Wang, Cheng-Zhong Xu:
A Robust Stereo Camera Localization Method with Prior LiDAR Map Constrains. - Yulin Yan, Youngryel Ryu:
Google street view and deep learning: a new ground truthing approach for crop mapping. - Stefan Oehmcke, Christoffer Thrysøe, Andreas Borgstad, Marcos Antonio Vaz Salles, Martin Brandt, Fabian Gieseke:
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data. - Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song:
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. - Gunjan Aggarwal, Abhishek Sinha:
cFineGAN: Unsupervised multi-conditional fine-grained image generation. - Luca Erculiani, Fausto Giunchiglia, Andrea Passerini:
Continual egocentric object recognition. - Ilya Kostrikov, Ofir Nachum, Jonathan Tompson:
Imitation Learning via Off-Policy Distribution Matching. - Maria-Ximena Bastidas-Rodríguez, Adrien Gruson, Luisa F. Polanía, Shin Fujieda, Flavio Augusto Prieto Ortíz, Kohei Takayama, Toshiya Hachisuka:
Deep Adaptive Wavelet Network. - Nico Reissmann, Jan Christian Meyer, Helge Bahmann, Magnus Själander:
RVSDG: An Intermediate Representation for Optimizing Compilers. - Abigail Hotaling, James P. Bagrow:
Efficient crowdsourcing of crowd-generated microtasks. - Emre Sariyildiz, Kouhei Ohnishi:
Stability and Robustness of Disturbance Observer based Motion Control Systems. - Namwoo Kang, Yi Ren, Fred M. Feinberg, Panos Y. Papalambros:
Form + Function: Optimizing Aesthetic Product Design via Adaptive, Geometrized Preference Elicitation. - Jalal Rachad, Ridha Nasri, Laurent Decreusefond:
3D Beamforming based Dynamic TDD Interference Mitigation Scheme. - Maria Salama, Rami Bahsoon, Rajkumar Buyya:
Modelling and Simulation Environment for Self-Adaptive and Self-Aware Cloud Architectures. - Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne:
Blockchain for 5G and Beyond Networks: A State of the Art Survey. - Aaron Eberhart, Monireh Ebrahimi, Lu Zhou, Cogan Shimizu, Pascal Hitzler:
Completion Reasoning Emulation for the Description Logic EL+. - Nick Frymann, Mark Manulis:
Securing Fleets of Consumer Drones at Low Cost. - Rahul Radhakrishnan Iyer, Ronghuo Zheng, Yuezhang Li, Katia P. Sycara:
Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds. - Shaoru Wang, Yongchao Gong, Junliang Xing, Lichao Huang, Chang Huang, Weiming Hu:
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation. - Mike Wu, Noah D. Goodman:
Multimodal Generative Models for Compositional Representation Learning. - Zhenqian E, Weiguo Gao:
An Improving Framework of regularization for Network Compression. - Ziwei Li, Sai Ravela:
On Neural Learnability of Chaotic Dynamics. - Caroline T. Schroeder, Amir Zeldes:
A Collaborative Ecosystem for Digital Coptic Studies. - Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis:
Learning from Noisy Anchors for One-stage Object Detection. - Huihong Zhang, Jianlong Yang, Kang Zhou, Zhenjie Chai, Jun Cheng, Shenghua Gao, Jiang Liu:
BioNet: Infusing Biomarker Prior into Global-to-Local Network for Choroid Segmentation in Optical Coherence Tomography Images. - Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné:
Associative Alignment for Few-shot Image Classification. - ZhenZhou Wang:
Bottleneck detection by slope difference distribution: a robust approach for separating overlapped cells. - Mingzhe Li, Jianrui Pei, Jin He, Kevin Song, Frank Che, Yongfeng Huang, Chitai Wang:
Using GGNN to recommend log statement level. - Tianying Wang, Wei Qi Toh, Hao Zhang, Xiuchao Sui, Shaohua Li, Yong Liu, Wei Jing:
RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization. - Kacper Sokol, Peter A. Flach:
Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches. - Chaoqiang Zhao, Yang Tang, Qiyu Sun:
Deep Direct Visual Odometry. - Armin Aligholian, Alireza Shahsavari, Ed Cortez, Emma M. Stewart, Hamed Mohsenian Rad:
Event Detection in Micro-PMU Data: A Generative Adversarial Network Scoring Method. - Riashat Islam, Raihan Seraj, Pierre-Luc Bacon, Doina Precup:
Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods. - Kanav Vats, William J. McNally, Chris Dulhanty, Zhong Qiu Lin, David A. Clausi, John S. Zelek:
PuckNet: Estimating hockey puck location from broadcast video. - Riashat Islam, Raihan Seraj, Samin Yeasar Arnob, Doina Precup:
Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning. - Dibyendu Adak, Sundararajan Natarajan:
Virtual element method for semilinear sine-Gordon equation over polygonal mesh using product approximation technique. - Jiezhu Cheng, Kaizhu Huang, Zibin Zheng:
Towards Better Forecasting by Fusing Near and Distant Future Visions. - Felix Brünker, Fabian Deitelhoff, Milad Mirbabaie:
Collective Identity Formation on Instagram - Investigating the Social Movement Fridays for Future. - Xi Chen, Shouyi Yin, Dandan Song, Peng Ouyang, Leibo Liu, Shaojun Wei:
Small-footprint Keyword Spotting with Graph Convolutional Network. - Riashat Islam, Zafarali Ahmed, Doina Precup:
Marginalized State Distribution Entropy Regularization in Policy Optimization. - Nianjin Ye, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Jue Wang, Yongqing Cui:
DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration. - Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Haihua Du, Ben C. H. Ao:
Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling. - Nelson Nauata, Yasutaka Furukawa:
Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Classification. - (Withdrawn) Is Feature Diversity Necessary in Neural Network Initialization?
- Sambaran Bandyopadhyay, Anirban Biswas, M. Narasimha Murty, Ramasuri Narayanam:
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks. - (Withdrawn) Constructions of quasi-twisted quantum codes.
- Boris Karanov, Mathieu Chagnon, Vahid Aref, Domaniç Lavery, Polina Bayvel, Laurent Schmalen:
Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model. - Huiwei Zhou, Xuefei Li, Weihong Yao, Zhuang Liu, Shixian Ning, Chengkun Lang, Lei Du:
Improving Neural Protein-Protein Interaction Extraction with Knowledge Selection. - Lambert Schomaker:
Lifelong learning for text retrieval and recognition in historical handwritten document collections. - Guangqi Jiang, Huibing Wang, Jinjia Peng, Dongyan Chen, Xianping Fu:
Graph-based Multi-view Binary Learning for Image Clustering. - Amirhossein Esmaili, Massoud Pedram:
Energy-aware Scheduling of Jobs in Heterogeneous Cluster Systems Using Deep Reinforcement Learning. - Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, Xiang Bai:
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention. - Görkem Algan, Ilkay Ulusoy:
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey. - Masaki Oguni, Yohei Seki, Yu Hirate:
Character 3-gram Mover's Distance: An Effective Method for Detecting Near-duplicate Japanese-language Recipes. - Markus Bause, Jakub Wiktor Both, Florin A. Radu:
Iterative Coupling for Fully Dynamic Poroelasticity. - Yermek Kapushev, Ivan V. Oseledets, Evgeny Burnaev:
Tensor Completion via Gaussian Process Based Initialization. - Paolo Santini, Alessandro Barenghi, Gerardo Pelosi, Marco Baldi, Franco Chiaraluce:
A Code-specific Conservative Model for the Failure Rate of Bit-flipping Decoding of LDPC Codes with Cryptographic Applications. - Madura A. Shelton, Niels Samwel, Lejla Batina, Francesco Regazzoni, Markus Wagner, Yuval Yarom:
Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers. - Amir H. Abdi, Purang Abolmaesumi, Sidney S. Fels:
Variational Learning with Disentanglement-PyTorch. - Ying Wang, Yin Xu, Jiaxu Li, Jinghan He, Xiaojun Wang:
On the Radial Topological Constraints for Distribution System Restoration and Reconfiguration Problems. - Li Zhu, Zihao Xie, Liman Liu, Bo Tao, Wenbing Tao:
IoU-uniform R-CNN: Breaking Through the Limitations of RPN. - Ying Wang, Yin Xu, Jinghan He, Muyin Li, Zhiyuan Cao:
Heuristics to Determine Radial Topology for Distribution System Restoration. - Megha Gupta, Angshul Majumdar:
Recurrent Transform Learning. - Idoia Cortes Garcia, Sebastian Schöps, Christian Strohm, Caren Tischendorf:
Generalized Circuit Elements. - Casimiro Pio Carrino, Marta R. Costa-jussà, José A. R. Fonollosa:
Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering. - Tianying Wang, Hao Zhang, Wei Qi Toh, Hongyuan Zhu, Cheston Tan, Yan Wu, Yong Liu, Wei Jing:
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning. - Ryunosuke Nagayama, Kazuyuki Shudo, Ryohei Banno:
Simulation of the Bitcoin Network Considering Compact Block Relay and Internet Improvements. - Sertap Kamçi, Dogukan Aksu, Muhammed Ali Aydin:
Lane Detection For Prototype Autonomous Vehicle. - Johannes Künzel, Thomas Werner, Ronja Möller, Peter Eisert, Jan Waschnewski, Ralf Hilpert:
Automatic Analysis of Sewer Pipes Based on Unrolled Monocular Fisheye Images. - Kishan Sharma, Moritz Gold, Christian Zurbruegg, Laura Leal-Taixé, Jan Dirk Wegner:
HistoNet: Predicting size histograms of object instances. - Artjoms Sinkarovs, Hans-Nikolai Vießmann, Sven-Bodo Scholz:
Array Languages Make Neural Networks Fast. - Fangting Lin, Chao Yang, Huizhou Li, Bin Jiang:
Boundary-Aware Salient Object Detection via Recurrent Two-Stream Guided Refinement Network. - Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger:
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. - Patrick Schramowski, Cigdem Turan, Sophie F. Jentzsch, Constantin A. Rothkopf, Kristian Kersting:
BERT has a Moral Compass: Improvements of ethical and moral values of machines. - Paolo Pagliuca, Nicola Milano, Stefano Nolfi:
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization. - Jiashuo Zhang, Jianbo Gao, Zhenhao Wu, Wentian Yan, Qize Wu, Qingshan Li, Zhong Chen:
Performance Analysis of the Libra Blockchain: An Experimental Study. - Hong Luo, Han Liu, Kejun Li, Bo Zhang:
Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning. - Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer:
MineGAN: effective knowledge transfer from GANs to target domains with few images. - Gözde Gül Sahin, Iryna Gurevych:
Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology. - David Hartman, Milan Hladík, David Ríha:
Computing the spectral decomposition of interval matrices and a study on interval matrix power. - Phu X. Mai, Fabrizio Pastore, Arda Goknil, Lionel C. Briand:
Metamorphic Security Testing for Web Systems. - Nicolas Michael Müller, Karla Markert:
Identifying Mislabeled Instances in Classification Datasets. - Mustafa Mert Çelikok, Tomi Peltola, Pedram Daee, Samuel Kaski:
Interactive AI with a Theory of Mind. - Sungbin Choi:
Traffic map prediction using UNet based deep convolutional neural network. - Marius Cotescu, Thomas Drugman, Goeric Huybrechts, Jaime Lorenzo-Trueba, Alexis Moinet:
Voice Conversion for Whispered Speech Synthesis. - Michael C. Horowitz, Paul Scharre, Alexander Velez-Green:
A Stable Nuclear Future? The Impact of Autonomous Systems and Artificial Intelligence. - Priyank Pathak, Amir Erfan Eshratifar, Michael Gormish:
Video Person Re-ID: Fantastic Techniques and Where to Find Them. - Matthew Adams:
differint: A Python Package for Numerical Fractional Calculus. - Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni:
Learning Agent Communication under Limited Bandwidth by Message Pruning. - Sadeep Jayasumana, Kanchana Ranasinghe, Mayuka Jayawardhana, Sahan Liyanaarachchi, Harsha Ranasinghe:
Bipartite Conditional Random Fields for Panoptic Segmentation. - Mehrdad Valipour, En-Shiun Annie Lee, Jaime R. Jamacaro, Carolina Bessega:
Unsupervised Transfer Learning via BERT Neuron Selection. - Tinghao Zhang, Jing Luo, Ping Chen, Jie Liu:
Flow Rate Control in Smart District Heating Systems Using Deep Reinforcement Learning. - David Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper:
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction. - Carlos Santos Armendariz, Matthew Purver, Matej Ulcar, Senja Pollak, Nikola Ljubesic, Marko Robnik-Sikonja, Mark Granroth-Wilding, Kristiina Vaik:
CoSimLex: A Resource for Evaluating Graded Word Similarity in Context. - Onel L. Alcaraz López, Hirley Alves, Richard Demo Souza, Samuel Montejo Sánchez, Evelio M. García Fernández, Matti Latva-aho:
Massive Wireless Energy Transfer: Enabling Sustainable IoT Towards 6G Era. - Renata Pelissari, Alvaro José Abackerli, Sarah Ben Amor, Maria Célia Oliveira, Kleber Manoel Infante:
Multiple criteria hierarchy process for sorting problems under uncertainty applied to the evaluation of the operational maturity of research institutions. - Bo Zhou, Hongsheng Zeng, Fan Wang, Yunxiang Li, Hao Tian:
Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion. - Moein Hasani, Amin Nasim Saravi, Hassan Khotanlou:
An Efficient Approach for Using Expectation Maximization Algorithm in Capsule Networks. - He Chen Li, Shi Ying Li, Bowen Tan, Shuai Cheng Li:
Crossing Reduction of Sankey Diagram with Barycentre Ordering via Markov Chain. - Juan Carlos Bucheli Garcia, Alain Sibille, Mohamed Kamoun:
Reconfigurable Intelligent Surfaces: Bridging the gap between scattering and reflection. - Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox:
Parting with Illusions about Deep Active Learning. - Hantanirina Felixie, Jean Luc Razafindramintsa, Sylvain Cherrier, Thomas Mahatody, Laurent George, Victor Manantsoa:
Jason-RS, a Collaboration between Agents and an IoT Platform. - Clemens Dubslaff, Kai Ding, Andrey Morozov, Christel Baier, Klaus Janschek:
Breaking the Limits of Redundancy Systems Analysis. - Claire Chainais-Hillairet, Maxime Herda:
L∞ bounds for numerical solutions of noncoercive convection-diffusion equations. - Thomas Engels, Kai Schneider, Julius Reiss, Marie Farge:
A 3D wavelet-based incompressible Navier-Stokes solver for fully adaptive computations in time-varying geometries. - Hang Le, Loïc Vial, Jibril Frej, Vincent Segonne, Maximin Coavoux, Benjamin Lecouteux, Alexandre Allauzen, Benoît Crabbé, Laurent Besacier, Didier Schwab:
FlauBERT: Unsupervised Language Model Pre-training for French. - Vaishakhi Mayya, Galen Reeves:
Mutual Information in Community Detection with Covariate Information and Correlated Networks. - Tom Cornebize, Arnaud Legrand:
DGEMM performance is data-dependent. - Chaoxu Guo, Bin Fan, Qian Zhang, Shiming Xiang, Chunhong Pan:
AugFPN: Improving Multi-scale Feature Learning for Object Detection. - Artur Czumaj, Peter Davies, Merav Parter:
Graph Sparsification for Derandomizing Massively Parallel Computation with Low Space. - Huy H. Nguyen, Minoru Kuribayashi, Junichi Yamagishi, Isao Echizen:
Detecting and Correcting Adversarial Images Using Image Processing Operations. - M. J. A. van Wezel, L. J. Hamburger, Y. Napolean:
Fine-grained Classification of Rowing teams. - Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi:
Multimodal Self-Supervised Learning for Medical Image Analysis. - Evgeny Yu. Derevtsov, Thomas Schuster, Yuriy S. Volkov:
Generalized attenuated ray transforms and their integral angular moments. - Stefano Berrone, Andrea Borio, Alessandro D'Auria:
Refinement strategies for polygonal meshes applied to adaptive VEM discretization. - Igor Slinko, Anna Vorontsova, Dmitry Zhukov, Olga Barinova, Anton Konushin:
Training Deep SLAM on Single Frames. - Xu Cao, Yanghao Lin:
UCT-ADP Progressive Bias Algorithm for Solving Gomoku. - Yijie Mao, Bruno Clerckx:
Beyond Dirty Paper Coding for Multi-Antenna Broadcast Channel with Partial CSIT: A Rate-Splitting Approach. - David Demeter, Doug Downey:
Just Add Functions: A Neural-Symbolic Language Model. - Greg Chance, Abanoub Ghobrial, Séverin Lemaignan, Tony Pipe, Kerstin Eder:
An Agency-Directed Approach to Test Generation for Simulation-based Autonomous Vehicle Verification. - Zihan Zeng, Jing Tian:
Deep Learning Methods for Signature Verification. - Shuyang Du, Haoli Guo, Andrew Simpson:
Self-Driving Car Steering Angle Prediction Based on Image Recognition. - Delyan Z. Kalchev, Panayot S. Vassilevski:
A Condensed Constrained Nonconforming Mortar-based Approach for Preconditioning Finite Element Discretization Problems. - Jacek Komorowski, Grzegorz Kurzejamski, Grzegorz Sarwas:
FootAndBall: Integrated player and ball detector. - Amin Karimi Monsefi, Rana Bakhtiyarzade:
Solving the Reaction-Diffusion equation based on analytical methods and deep learning algorithm; the Case study of sulfate attack to concrete. - Krishn Bera, Yash Mandilwar, Raju S. Bapi:
Value-of-Information based Arbitration between Model-based and Model-free Control. - Zhiyong Cui, Longfei Lin, Ziyuan Pu, Yinhai Wang:
Graph Markov Network for Traffic Forecasting with Missing Data. - Mohsen Ghassemi Parsa, Hadi Zare, Mehdi Ghatee:
Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering. - Christian Etmann, Maximilian Schmidt, Jens Behrmann, Tobias Boskamp, Lena Hauberg-Lotte, Annette Peter, Rita Casadonte, Jörg Kriegsmann, Peter Maass:
Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data. - Rumeng Li, Xun Wang, Hong Yu:
MetaMT, a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation. - Vivek K. Singh, Mary Chayko, Raj Inamdar, Diana Floegel:
Female Librarians and Male Computer Programmers? Gender Bias in Occupational Images on Digital Media Platforms. - Amer AlGhadhban, Abdulkadir Celik, Basem Shihada, Mohamed-Slim Alouini:
LightFDG: An Integrated Approach to Flow Detection and Grooming in Optical Wireless DCNs. - András Sebö:
Ear-Slicing for Matchings in Hypergraphs. - Masataro Asai:
Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS. - Hoa T. Le, Christophe Cerisara, Claire Gardent:
Quality of syntactic implication of RL-based sentence summarization. - Guillaume Gbikpi-Benissan, Remi Cerise, Patrick Callet, Frédéric Magoulès:
Spectral Domain Decomposition Method for Natural Lighting and Medieval Glass Rendering. - Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh:
What Can Learned Intrinsic Rewards Capture? - Ashish Malik:
Zero-shot generalization using cascaded system-representations. - Nairen Cao, Jeremy T. Fineman, Katina Russell:
Efficient Construction of Directed Hopsets and Parallel Approximate Shortest Paths. - Shaoshuai Zhang, Panruo Wu:
High Accuracy Low Precision QR Factorization and Least Square Solver on GPU with TensorCore. - Glen Berseth, Daniel Geng, Coline Devin, Chelsea Finn, Dinesh Jayaraman, Sergey Levine:
SMiRL: Surprise Minimizing RL in Dynamic Environments. - Abigail Z. Jacobs, Hanna M. Wallach:
Measurement and Fairness. - Wenzhang Zhou, Longyin Wen, Libo Zhang, Dawei Du, Tiejian Luo, Yanjun Wu:
SiamMan: Siamese Motion-aware Network for Visual Tracking. - Maria Salama, Rami Bahsoon, Rajkumar Buyya:
A Reference Architecture and Modelling Principles for Architectural Stability based on Self-Awareness: Case of Cloud Architectures. - Heide Gluesing-Luerssen, Hunter Lehmann:
Distance Distributions of Cyclic Orbit Codes. - Yaohui Wang, Piotr Tadeusz Bilinski, François Brémond, Antitza Dantcheva:
G3AN: This video does not exist. Disentangling motion and appearance for video generation. - Prune Truong, Martin Danelljan, Radu Timofte:
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences. - Benjamin Kolb, Leon Lang, Henning Bartsch, Arwin Gansekoele, Raymond Koopmanschap, Leonardo Romor, David Speck, Mathijs Mul, Elia Bruni:
Learning to Request Guidance in Emergent Communication. - Jon Haël Brenas, Eun Kyong Shin, Arash Shaban-Nejad:
Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques. - Jinwoo Choi, Chen Gao, Joseph C. E. Messou, Jia-Bin Huang:
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition. - Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel:
Encoding Musical Style with Transformer Autoencoders. - Robert Soden, Dennis Wagenaar, Dave Luo, Annegien Tijssen:
Taking Ethics, Fairness, and Bias Seriously in Machine Learning for Disaster Risk Management. - Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian:
Deep One-bit Compressive Autoencoding. - Song Fang, Quanyan Zhu:
Fundamental Entropic Laws and Lp Limitations of Feedback Systems: Implications for Machine-Learning-in-the-Loop Control. - Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, Matthias Nießner:
Neural Voice Puppetry: Audio-driven Facial Reenactment. - Saeedeh Parsaeefard, Iman Tabrizian, Alberto Leon-Garcia:
Representation of Federated Learning via Worst-Case Robust Optimization Theory. - Orod Razeghi, Guoping Qiu:
Object Recognition with Human in the Loop Intelligent Frameworks. - Hang Guo, Xun Fan, Anh Cao, Geoff Outhred, John S. Heidemann:
Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud. - Gagan Kanojia, Shanmuganathan Raman:
Simultaneous Detection and Removal of Dynamic Objects in Multi-view Images. - Jonathan Chan, William J. Bowman:
Practical Sized Typing for Coq. - Hamzeh Davarikia, Masoud Barati, Mustafa Al-Assad, Yupo Chan:
A Novel Approach in Strategic Planning of Power Networks Against Physical Attacks. - Clemens Eppner, Arsalan Mousavian, Dieter Fox:
A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set. - Holly E. Rushmeier, Kapil Chalil Madathil, Jessica K. Hodgins, Beth Mynatt, Tony DeRose, Blair MacIntyre, et al.:
Content Generation for Workforce Training. - Ricardo Bohaczuk Venturelli, Danilo Silva:
Optimization of Integer-Forcing Precoding for Multi-User MIMO Downlink. - Rob van Glabbeek:
Ensuring Liveness Properties of Distributed Systems: Open Problems. - Sacha Servan-Schreiber, Archer Wheeler:
Judge, Jury & Encryptioner: Exceptional Access with a Fixed Social Cost. - Raffaello Camoriano:
Large-scale Kernel Methods and Applications to Lifelong Robot Learning. - Orod Razeghi, Guoping Qiu:
Discriminative Dimension Reduction based on Mutual Information. - Sudheer Achary, Ashar Javed, Nikita Shravan, K. L. Bhanu Moorthy, Vineet Gandhi, Anoop M. Namboodiri:
CineFilter: Unsupervised Filtering for Real Time Autonomous Camera Systems. - Elisabetta Chicca, Giacomo Indiveri:
A recipe for creating ideal hybrid memristive-CMOS neuromorphic computing systems. - Kaarthik Sundar, Anatoly Zlotnik:
Dynamic State and Parameter Estimation for Natural Gas Networks using Real Pipeline System Data. - Erik A. Daxberger, José Miguel Hernández-Lobato:
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection. - Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike:
Learning Human Objectives by Evaluating Hypothetical Behavior. - Nikolaos Passalis, Stavros Doropoulos:
deepsing: Generating Sentiment-aware Visual Stories using Cross-modal Music Translation. - Muhammed Kocabas, Nikos Athanasiou, Michael J. Black:
VIBE: Video Inference for Human Body Pose and Shape Estimation. - Sohraab Soltani, Yalin E. Sagduyu, Sean Scanlon, Yi Shi, Jason H. Li, Jared Feldman, John D. Matyjas:
Cross-layer Design and SDR Implementation of DSA, Backpressure Routing and Network Coding. - Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez:
Robust Gabor Networks. - Diego O. Rodrigues, Frances Albert Santos, Geraldo P. Rocha Filho, Ademar Takeo Akabane, Raquel Cabral, Roger Immich, Wellington Lobato Jr., Felipe D. da Cunha, Daniel L. Guidoni, Thiago Henrique Silva, Denis do Rosário, Eduardo Cerqueira, Antonio A. F. Loureiro, Leandro A. Villas:
Computação Urbana da Teoria à Prática: Fundamentos, Aplicações e Desafios. - Márcio Ferreira Moreno, Vítor Lourenço, Sandro Rama Fiorini, Polyana B. da Costa, Rafael Brandão, Daniel Civitarese, Renato Cerqueira:
Managing Machine Learning Workflow Components. - Jan Moritz Joseph, Lennart Bamberg, Imad Hajjar, Behnam Razi Perjikolaei, Alberto García Ortiz, Thilo Pionteck:
Ratatoskr: An open-source framework for in-depth power, performance and area analysis in 3D NoCs. - Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin:
Linear Mode Connectivity and the Lottery Ticket Hypothesis. - Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel:
Biases for Emergent Communication in Multi-agent Reinforcement Learning. - Ahmadreza Moradipari, Nathaniel Tucker, Tuo Zhang, Gustavo Cezar, Mahnoosh Alizadeh:
Mobility-Aware Smart Charging of Electric Bus Fleets. - Prateek Verma, Jonathan Berger:
Learning to Model Aspects of Hearing Perception Using Neural Loss Functions. - Bruna G. Maciel-Pearson, Letizia Marchegiani, Samet Akcay, Amir Atapour Abarghouei, James Garforth, Toby P. Breckon:
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments. - Daniel T. Chang:
Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax. - Omid Bazgir, Ruibo Zhang, Saugato Rahman Dhruba, Raziur Rahman, Souparno Ghosh, Ranadip Pal:
REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks. - Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan, Chen Zhang, Fugee Tsung:
Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction. - Alvin Chan, Yi Tay, Yew-Soon Ong:
What it Thinks is Important is Important: Robustness Transfers through Input Gradients. - Stefan Henneking, Leszek F. Demkowicz:
A numerical study of the pollution error and DPG adaptivity for long waveguide simulations. - Erich L. Kaltofen, Zhi-Hong Yang:
Sparse Interpolation With Errors in Chebyshev Basis Beyond Redundant-Block Decoding. - Yoon-Ho Choi, Peng Liu, Zitong Shang, Haizhou Wang, Zhilong Wang, Lan Zhang, Junwei Zhou, Qingtian Zou:
Using Deep Learning to Solve Computer Security Challenges: A Survey. - Karthikeyan K, Shubham Kumar Bharti, Piyush Rai:
On the relationship between multitask neural networks and multitask Gaussian Processes. - Toru Tamaki, Daisuke Ogawa, Bisser Raytchev, Kazufumi Kaneda:
Semantic segmentation of trajectories with improved agent models for pedestrian behavior analysis. - Feng-Lin Li, Weijia Chen, Qi Huang, Yikun Guo:
AliMe KBQA: Question Answering over Structured Knowledge for E-commerce Customer Service. - Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Ken Yoda:
Improved Activity Forecasting for Generating Trajectories. - Rushi J. Babariya, Toru Tamaki:
Meaning guided video captioning. - Jingshi Cui, Haoxiang Wang, Chenye Wu, Yang Yu:
Robust Data-driven Profile-based Pricing Schemes. - Lampros Gavalakis, Ioannis Kontoyiannis:
Fundamental Limits of Lossless Data Compression with Side Information. - Reza Rezaie, X. Rong Li:
Gaussian Conditionally Markov Sequences: Dynamic Models and Representations of Reciprocal and Other Classes. - Grant Greenberg, Ilan Shomorony:
The Metagenomic Binning Problem: Clustering Markov Sequences. - Akanksha Atrey, Kaleigh Clary, David D. Jensen:
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep RL. - Helin Yang, Arokiaswami Alphones, Zehui Xiong, Dusit Niyato, Jun Zhao, Kaishun Wu:
Artificial Intelligence-Enabled Intelligent 6G Networks. - Mehdi Dadvar, Saeed Moazami, Harley R. Myler, Hassan Zargarzadeh:
Multi-Agent Task Allocation in Complementary Teams: A Hunter and Gatherer Approach. - Ernest Davis:
The Use of Deep Learning for Symbolic Integration: A Review of (Lample and Charton, 2019). - Yan Xu, Vivek Roy, Kris Kitani:
Estimating 3D Camera Pose from 2D Pedestrian Trajectories. - Bin Liu, Yuxiao Ren, Hanchi Liu, Hui Xu, Zhengfang Wang, Anthony G. Cohn, Peng Jiang:
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining. - Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Mohammed Eunus Ali:
CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting. - Vinit Sarode, Xueqian Li, Hunter Goforth, Yasuhiro Aoki, Animesh Dhagat, Rangaprasad Arun Srivatsan, Simon Lucey, Howie Choset:
One Framework to Register Them All: PointNet Encoding for Point Cloud Alignment. - Rachel Cummings, Nikhil R. Devanur, Zhiyi Huang, Xiangning Wang:
Algorithmic Price Discrimination. - Shangwei Zhang, Jiajia Liu, Hongzhi Guo, Mingping Qi, Nei Kato:
Envisioning Device-to-Device Communications in 6G. - Beau Coker, Melanie F. Pradier, Finale Doshi-Velez:
Towards Expressive Priors for Bayesian Neural Networks: Poisson Process Radial Basis Function Networks. - Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio, Aaron C. Courville:
CLOSURE: Assessing Systematic Generalization of CLEVR Models. - Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim:
Learning Improvement Heuristics for Solving the Travelling Salesman Problem. - Stefan Kurz, Dirk Pauly, Dirk Praetorius, Sergey I. Repin, Daniel Sebastian:
Functional a posteriori error estimates for boundary element methods. - Jia Li, Tong Shen, Wei Zhang, Hui Ren, Dan Zeng, Tao Mei:
Zooming into Face Forensics: A Pixel-level Analysis. - Guillermo A. Pérez:
The Extended HOA Format for Synthesis. - Haoyu Yang, Wen Chen, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu:
Automatic Layout Generation with Applications in Machine Learning Engine Evaluation. - Kerui Li, Siew-Chong Tan, Ron Shu-Yuen Hui:
Single-Stage Regulated Resonant WPT Receiver with Low Harmonic Distortion AC Voltage and Continuous DC Current. - Neri Merhav, Igal Sason:
An Integral Representation of the Logarithmic Function with Applications in Information Theory. - Kerui Li, Siew-Chong Tan, Ron Shu-Yuen Hui:
Single-Switch-Regulated Resonant WPT Receiver. - Anuradha Sharma, Tania Sidana:
On depth spectra of constacyclic codes over finite commutative chain rings. - Mathew C. Francis, Dalu Jacob:
The Lexicographic Method for the Threshold Cover Problem. - Ruo Li, Fanyi Yang:
A Reconstructed Discontinuous Approximation to Monge-Ampere Equation in Least Square Formation. - Xiao Liang Yu, Omar I. Al-Bataineh, David Lo, Abhik Roychoudhury:
Smart Contract Repair. - Michael Kerber, Arnur Nigmetov:
Efficient Approximation of the Matching Distance for 2-parameter persistence. - Giyoung Jeon, Haedong Jeong, Jaesik Choi:
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks. - Ria Jha, Francesco Belardinelli, Francesca Toni:
Formal Verification of Debates in Argumentation Theory. - Guochao Song, Hang Yang, Wei Wang, Tao Jiang:
Reliable Wide-Area Backscatter via Channel Polarization. - Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang:
Provably Efficient Exploration in Policy Optimization. - Shayan Hassantabar, Xiaoliang Dai, Niraj K. Jha:
STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods. - Triantafyllos Kefalas, Konstantinos Vougioukas, Yannis Panagakis, Stavros Petridis, Jean Kossaifi, Maja Pantic:
Speech-driven facial animation using polynomial fusion of features. - Viviane Ledoux, Guillaume Moroz:
Evaluation of Chebyshev polynomials on intervals and application to root finding. - Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic:
Local Context Normalization: Revisiting Local Normalization. - Ángela Casado-García, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images. - Magnus Själander, Magnus Jahre, Gunnar Tufte, Nico Reissmann:
EPIC: An Energy-Efficient, High-Performance GPGPU Computing Research Infrastructure. - Constantinos Patsakis, Fran Casino:
Exploiting Statistical and Structural Features for the Detection of Domain Generation Algorithms. - Ephraim Zimmer, Christian Burkert, Tom Petersen, Hannes Federrath:
PEEPLL: Privacy-Enhanced Event Pseudonymisation with Limited Linkability. - Hichem Sahbi:
Totally Deep Support Vector Machines. - James L. McClelland, Felix Hill, Maja Rudolph, Jason Baldridge, Hinrich Schütze:
Extending Machine Language Models toward Human-Level Language Understanding. - Jeanderson Cândido, Maurício Finavaro Aniche, Arie van Deursen:
Contemporary Software Monitoring: A Systematic Literature Review. - Johan Medrano, Fuchun Joseph Lin:
Enabling Machine Learning Across Heterogeneous Sensor Networks with Graph Autoencoders. - Aaron Wewior, Joachim Weickert:
Variational Coupling Revisited: Simpler Models, Theoretical Connections, and Novel Applications. - Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen:
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. - Trafim Lasy:
From Hashgraph to a Family of Atomic Broadcast Algorithms. - Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig:
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. - Haitong Zhang, Yongping Du, Jiaxin Sun, Qingxiao Li:
Improving Interpretability of Word Embeddings by Generating Definition and Usage. - Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES. - Radu Alexandru Rosu, Peer Schütt, Jan Quenzel, Sven Behnke:
LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices. - Xujie Si, Yujia Li, Vinod Nair, Felix Gimeno:
Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving. - Thomas Chatain, Mathilde Boltenhagen, Josep Carmona:
Anti-Alignments - Measuring The Precision of Process Models and Event Logs. - Daniel Barath, Jana Noskova, Maksym Ivashechkin, Jiri Matas:
MAGSAC++, a fast, reliable and accurate robust estimator. - Tianfan Fu, Cao Xiao, Jimeng Sun:
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. - Robin M. Schmidt:
Recurrent Neural Networks (RNNs): A gentle Introduction and Overview. - Md. Abu Bakr Siddique, Shadman Sakib, Md. Abdur Rahman:
Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers. - Alireza Abdoli, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh:
Time Series Classification: Lessons Learned in the (Literal) Field while Studying Chicken Behavior. - Jonathan Baxter:
Some observations concerning Off Training Set (OTS) error. - Tomohiko Konno:
Deep-learning estimation of band gap with the reading-periodic-table method and periodic convolution layer. - Balázs Kovács, Buyang Li, Christian Lubich:
A convergent algorithm for mean curvature flow driven by diffusion on the surface. - Hernán Lespay, Karol Suchan:
A case study of Consistent Vehicle Routing Problem with Time Windows. - Supreetha B. S, Narayan Shenoy, Prabhakar Nayak:
Lion Algorithm- Optimized Long Short-Term Memory Network for Groundwater Level Forecasting in Udupi District, India. - E. Grigoryan:
Linear algorithm for solution n-Queens Completion problem. - Rahul Gopinath, Björn Mathis, Andreas Zeller:
Inferring Input Grammars from Dynamic Control Flow. - (Withdrawn) The Use of Machine Learning and Big Five Personality Taxonomy to Predict Construction Workers' Safety Behaviour.
- Behzad Asadi, Vijay Varadharajan:
Towards a Robust Classifier: An MDL-Based Method for Generating Adversarial Examples. - Haoyue Tang, Jintao Wang, Linqi Song, Jian Song:
Minimizing Age of Information with Power Constraints: Opportunistic Scheduling in Multi-State Time-Varying Networks. - Nathanael L. Baisa:
Occlusion-robust Online Multi-object Visual Tracking using a GM-PHD Filter with a CNN-based Re-identification. - Caterina Balzotti, Maya Briani, Barbara De Filippo, Benedetto Piccoli:
Evaluation of NOx emissions and ozone production due to vehicular traffic via second-order models. - Hamid Mohammadi, Seyed Hossein Khasteh:
Text as Environment: A Deep Reinforcement Learning Text Readability Assessment Model. - Wisdom C. Agboh, Oliver Grainger, Daniel Ruprecht, Mehmet Remzi Dogar:
Parareal with a Learned Coarse Model for Robotic Manipulation. - Menghan Wang, Kun Zhang, Gulin Li, Keping Yang, Luo Si:
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs. - Shengkai Wu, Xiaoping Li, Xinggang Wang:
IoU-aware Single-stage Object Detector for Accurate Localization. - Ali Hassan, Robert Mieth, Deepjyoti Deka, Yury Dvorkin:
Stochastic and Distributionally Robust Load Ensemble Control. - Gaspar Rochette, Andre Manoel, Eric W. Tramel:
Efficient Per-Example Gradient Computations in Convolutional Neural Networks. - Kaile Chen, Wangli He, Yang Tang, Wenle Zhang:
Leader Selection in Multi-Agent Networks with Switching Topologies via Submodular Optimization. - Raimund Bürger, Sarvesh Kumar, David Mora, Ricardo Ruiz-Baier, Nitesh Verma:
Virtual element methods for the three-field formulation of time-dependent linear poroelasticity. - Béatrice Montbroussous, Jonathan Schaeffer, Gabriel Moreau, Françoise Berthoud, Gabrielle Feltin:
Calculate the carbon footprint of your IT assets with EcoDiag, an EcoInfo service. - Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv:
Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions. - Niall Bootland, Victorita Dolean:
On the Dirichlet-to-Neumann coarse space for solving the Helmholtz problem using domain decomposition. - George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux:
Coloring graph neural networks for node disambiguation. - Petro Liashchynskyi, Pavlo Liashchynskyi:
Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS. - Xiaofei Shi, David P. Woodruff:
Sublinear Time Numerical Linear Algebra for Structured Matrices. - (Withdrawn) A Robust Static State Estimation Considering Slow Power System Dynamics' Inequality Constraints.
- Fan Yang, Liu Leqi, Yifan Wu, Zachary C. Lipton, Pradeep Ravikumar, William W. Cohen, Tom M. Mitchell:
Game Design for Eliciting Distinguishable Behavior. - Gabriela García, Robert J. Griffin, Jerry E. Pratt:
0-Step Capturability, Motion Decomposition and Global Feedback Control of the 3D Variable Height-Inverted Pendulum. - Julian Tanke, Andreas Weber, Juergen Gall:
Human Motion Anticipation with Symbolic Label. - Toni Adame, Marc Carrascosa, Boris Bellalta:
Time-Sensitive Networking in IEEE 802.11be: On the Way to Low-latency WiFi 7. - Dibya Ghosh, Abhishek Gupta, Justin Fu, Ashwin Reddy, Coline Devin, Benjamin Eysenbach, Sergey Levine:
Learning To Reach Goals Without Reinforcement Learning. - Moreno Pintore, Federico Pichi, Martin W. Hess, Gianluigi Rozza, Claudio Canuto:
Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method. - Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok:
Graph Neural Networks for Decentralized Multi-Robot Path Planning. - David Bermbach, Setareh Maghsudi, Jonathan Hasenburg, Tobias Pfandzelter:
Towards Auction-Based Function Placement in Serverless Fog Platforms. - Carlos Purves, Catalina Cangea, Petar Velickovic:
The PlayStation Reinforcement Learning Environment (PSXLE). - Vijay Rengarajan, Shuo Zhao, Ruiwen Zhen, John William Glotzbach, Hamid R. Sheikh, Aswin C. Sankaranarayanan:
Photosequencing of Motion Blur using Short and Long Exposures. - Dominik D. Freydenberger, Liat Peterfreund:
Finite models and the theory of concatenation. - Weihao Kong, Gregory Valiant, Emma Brunskill:
Sublinear Optimal Policy Value Estimation in Contextual Bandits. - Hao Tang, Hong Liu, Nicu Sebe:
Unified Generative Adversarial Networks for Controllable Image-to-Image Translation. - Caglar Tunc, Shivendra S. Panwar:
Optimal Transmission Policies for Energy Harvesting Age of Information Systems with Battery Recovery. - Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas A. Funkhouser:
Deep Structured Implicit Functions. - Yuyang Liu, Yang Cong, Gan Sun:
L3DOR: Lifelong 3D Object Recognition. - Thierry Denoeux:
Calibrated model-based evidential clustering using bootstrapping. - Inioluwa Deborah Raji, Jingying Yang:
ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles. - Miranda Bogen, Aaron Rieke, Shazeda Ahmed:
Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination. - Victor Costa, Nuno Lourenço, Penousal Machado:
Coevolution of Generative Adversarial Networks. - Marta Skreta, Aryan Arbabi, Jixuan Wang, Michael Brudno:
Training without training data: Improving the generalizability of automated medical abbreviation disambiguation. - Clayton Drazner, Nikola Duza, Hugo Jonker, Dan S. Wallach:
Investigating the effectiveness of web adblockers. - Victor Costa, Nuno Lourenço, João Correia, Penousal Machado:
COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks. - Yichao Lu, Cheng Chang, Himanshu Rai, Guang Wei Yu, Maksims Volkovs:
Learning Effective Visual Relationship Detector on 1 GPU. - Tomaso A. Poggio, Gil Kur, Andrzej Banburski:
Double descent in the condition number. - Fabrizio Genovese, Alex Gryzlov, Jelle Herold, Andre Knispel, Marco Perone, Erik Post, André Videla:
idris-ct: A Library to do Category Theory in Idris. 246-254 - Jens Dörpinghaus, Alexander Apke, Vanessa Lage-Rupprecht, Andreas Stefan:
Data Exploration and Validation on dense knowledge graphs for biomedical research. - Marko Vasic, David Soloveichik, Sarfraz Khurshid:
CRNs Exposed: Systematic Exploration of Chemical Reaction Networks. - Zachary Friggstad, Chaitanya Swamy:
A Constant-Factor Approximation for Directed Latency in Quasi-Polynomial Time. - Artur A. M. Oliveira, Nina S. T. Hirata, Roberto Hirata Jr.:
Greenery Segmentation In Urban Images By Deep Learning. - Christoph Klemenjak, Anthony Faustine, Stephen Makonin, Wilfried Elmenreich:
On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring. - Emily Diana, Michael J. Kearns, Seth Neel, Aaron Roth:
Optimal, Truthful, and Private Securities Lending. - Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr:
ManiGAN: Text-Guided Image Manipulation. - Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup:
Shaping representations through communication: community size effect in artificial learning systems. - Isaiah Onando Mulang', Kuldeep Singh, Akhilesh Vyas, Saeedeh Shekarpour, Ahmad Sakor, Maria-Esther Vidal, Sören Auer, Jens Lehmann:
Context-aware Entity Linking with Attentive Neural Networks on Wikidata Knowledge Graph. - Lucia Minah Yang, Alyson Fox, Geoffrey Sanders:
Mixed-Precision analysis of Householder QR Algorithms. - Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee:
YOLACT++: Better Real-time Instance Segmentation. - Jui-Hsin Lai, Bo Wu, Xin Wang, Dan Zeng, Tao Mei, Jingen Liu:
Theme-Matters: Fashion Compatibility Learning via Theme Attention. - Tao Zhang, Quanyan Zhu:
Optimal Two-Sided Market Mechanism Design for Large-Scale Data Sharing and Trading in Massive IoT Networks. - Fei Shu, Wei Quan, Bikun Chen, Junping Qiu, Cassidy R. Sugimoto, Vincent Larivière:
The role of Web of Science publications in China's tenure system. - Jie Fang, Jianwu Lin, Yong Jiang, Shutao Xia:
Prior Knowledge Neural Network for Automatic Feature Construction in Financial Time Series. - Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai:
Multi-Task Offloading over Vehicular Clouds under Graph-based Representation. - Jorge Barreras, Alvaro Riascos:
Screening of Informed and Uninformed Experts. - Sayandev Mukherjee:
General Information Bottleneck Objectives and their Applications to Machine Learning. - Chao Yang, Ser-Nam Lim:
Unconstrained Facial Expression Transfer using Style-based Generator. - Yiqiu Wang, Yan Gu, Julian Shun:
Theoretically-Efficient and Practical Parallel DBSCAN. - Yiqun Dong, Yuanxin Zhong, Wenbo Yu, Minghan Zhu, Pingping Lu, Yeyang Fang, Jiajun Hong, Huei Peng:
Mcity Data Collection for Automated Vehicles Study. - Yue Zhao, John Handley:
Extracting clinical concepts from user queries. - Chao Yang, Xiaofeng Liu, Qingming Tang, C.-C. Jay Kuo:
Towards Disentangled Representations for Human Retargeting by Multi-view Learning. - Gengshan Yang, Peiyun Hu, Deva Ramanan:
Inferring Distributions Over Depth from a Single Image. - Huaiqian You, Yue Yu, David Kamensky:
An Asymptotically Compatible Formulation for Local-to-Nonlocal Coupling Problems without Overlapping Regions. - Jinho Choi, Shiva Raj Pokhrel:
Federated learning with multichannel ALOHA. - Pau Panareda Busto, Juergen Gall:
Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data. - Shanxiang Lyu, Jinming Wen, Jian Weng, Cong Ling:
On Low-complexity Lattice Reduction Algorithms for Large-scale MIMO Detection: the Blessing of Sequential Reduction. - Thiago Elias B. Cunha, Rodrigo C. de Lamare, Tadeu N. Ferreira:
Joint AGC and Receiver Design for Large-Scale MU-MIMO Systems with Coarsely Quantized Signals and C-RANs. - Zhihong Liu, Xiangke Wang, Lincheng Shen, Shulong Zhao, Yirui Cong, Jie Li, Dong Yin, Shengde Jia, Xiaojia Xiang:
Mission Oriented Miniature Fixed-wing UAV Swarms: A Multi-layered and Distributed Architecture. - Sean M. Hendryx, Andrew B. Leach, Paul Douglas Hein, Clayton T. Morrison:
Meta-Learning Initializations for Image Segmentation. - Aurélien F. Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan:
More Efficient Off-Policy Evaluation through Regularized Targeted Learning. - Fatemeh Pourahmadian, Houssem Haddar:
Differential tomography of micromechanical evolution in elastic materials of unknown micro/macrostructure. - Ananya Christman, Christine Chung, Nicholas Jaczko, Tianzhi Li, Scott Westvold, Xinyue Xu:
The SBP Algorithm for Maximizing Revenue in Online Dial-a-Ride. - Shuai Lü, Shuai Han, Wenbo Zhou, Junwei Zhang:
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning. - Jialing Lyu, Weichao Qiu, Xinyue Wei, Yi Zhang, Alan L. Yuille, Zheng-Jun Zha:
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt. - Zhengyuan Yang, Tushar Kumar, Tianlang Chen, Jiebo Luo:
Grounding-Tracking-Integration. - Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee:
Small Object Detection using Context and Attention. - Abhishek Kadian, Joanne Truong, Aaron Gokaslan, Alexander Clegg, Erik Wijmans, Stefan Lee, Manolis Savva, Sonia Chernova, Dhruv Batra:
Are We Making Real Progress in Simulated Environments? Measuring the Sim2Real Gap in Embodied Visual Navigation. - Yoshiaki Inoue:
Queueing Analysis of GPU-Based Inference Servers with Dynamic Batching: A Closed-Form Characterization. - (Withdrawn) Down to the Last Detail: Virtual Try-on with Detail Carving.
- Kevin J. Liang, John B. Sigman, Gregory P. Spell, Dan Strellis, William Chang, Felix Liu, Tejas Mehta, Lawrence Carin:
Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection. - Emre Sariyildiz, Kouhei Ohnishi:
A Guide to Design Disturbance Observer. - Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang:
TopoAct: Exploring the Shape of Activations in Deep Learning. - Emre Sariyildiz, Kouhei Ohnishi:
An Adaptive Reaction Force Observer Design. - Tushar M. Athawale, Dan Maljovec, Chris R. Johnson, Valerio Pascucci, Bei Wang:
Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps. - Mohak Goyal, Nikhil Karamchandani, Debasish Chatterjee, D. Manjunath:
Maintaining Ferment: On Opinion Control Over Social Networks. - Zhifeng Yu, Yusheng Wu, Tianyou Wang:
A Method for Arbitrary Instance Style Transfer. - Jinho Choi, Seung-Woo Ko, Koji Yamamoto, Seong-Lyun Kim:
Random Access with Opportunity Detection in Wireless Networks. - Jaime Garcia Guevara, Igor Peterlík, Marie-Odile Berger, Stéphane Cotin:
Elastic registration based on compliance analysis and biomechanical graph matching. - Julian Tanke, Oh-Hun Kwon, Patrick Stotko, Radu Alexandru Rosu, Michael Weinmann, Hassan Errami, Sven Behnke, Maren Bennewitz, Reinhard Klein, Andreas Weber, Angela Yao, Juergen Gall:
Bonn Activity Maps: Dataset Description. - Bin Li, Huazi Zhang, Jiaqi Gu:
On Pre-transformed Polar Codes. - Kiril Danilchenko, Michael Segal:
Construction and Maintenance of Swarm Drones. - Bodhibrata Mukhopadhyay, Seshan Srirangarajan, Subrat Kar:
RSSI-based Secure Localization in the Presence of Malicious Nodes in Sensor Networks. - Zheng-cong Fei:
Fast Image Caption Generation with Position Alignment. - Yutao Jiao, Ping Wang, Dusit Niyato, Bin Lin, Dong In Kim:
Toward an Automated Auction Framework for Wireless Federated Learning Services Market. - Xiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Feitong Tan, Ping Tan:
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching. - Hazrat Ali, Feroz Karim, Junaid Javed Qureshi, Adnan Omer Abuassba, Mohammad Farhad Bulbul:
Seizure Prediction Using Bidirectional LSTM. - Jørgen S. Dokken, August Johansson, André Massing, Simon W. Funke:
A multimesh finite element method for the Navier-Stokes equations based on projection methods. - Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung:
Neural Cages for Detail-Preserving 3D Deformations. - Pablo Antolin, Annalisa Buffa, Riccardo Puppi, Xiaodong Wei:
Overlapping Multi-Patch Isogeometric Method with Minimal Stabilization. - Christoph Hellings, Ferhad Askerbeyli, Wolfgang Utschick:
Two-User SIMO Interference Channel with TIN: Improper Signaling versus Time-Sharing. - Pavel Rojtberg, Arjan Kuijper:
Real-time texturing for 6D object instance detection from RGB Images. - Amir Nazemi, Paul W. Fieguth:
Potential adversarial samples for white-box attacks. - Cyril Grunspan, Ricardo Pérez-Marco:
On Profitability of Nakamoto double spend. - Pankaj Singh, Sudhakar Singh, P. K. Mishra, Rakhi Garg:
RDD-Eclat: Approaches to Parallelize Eclat Algorithm on Spark RDD Framework. - Hongwei Xv, Xin Sun, Junyu Dong, Shu Zhang, Qiong Li:
Multi-level Similarity Learning for Low-Shot Recognition. - Kira Goldner, Nicole Immorlica, Brendan Lucier:
Reducing Inefficiency in Carbon Auctions with Imperfect Competition. - Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, Andrew Zisserman:
End-to-End Learning of Visual Representations from Uncurated Instructional Videos. - Luis Ignacio Lopera Gonzalez, Adrian Derungs, Oliver Amft:
A Bayesian Approach to Rule Mining. - Alan Dolhasz, Carlo Harvey, Ian Williams:
Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations. - Anubhab Banerjee, Carmen Mas Machuca:
Game theoretic pricing policy in online media delivery platforms. - Delia Velasco-Montero, Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez:
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices. - Yan Zhang, Zhao Zhang, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha, Meng Wang:
Deep Self-representative Concept Factorization Network for Representation Learning. - Junwei Liang, Lu Jiang, Kevin P. Murphy, Ting Yu, Alexander G. Hauptmann:
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction. - Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin, Meng Wang:
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition. - Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. - Doreen Jirak, David Biertimpel, Matthias Kerzel, Stefan Wermter:
Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach. - Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. - Yuzhe Ma, Ziyang Yu, Bei Yu:
CAD Tool Design Space Exploration via Bayesian Optimization. - Levente Hajder, Daniel Barath:
Least-squares Optimal Relative Planar Motion for Vehicle-mounted Cameras. - Levente Hajder, Daniel Barath:
Relative planar motion for vehicle-mounted cameras from a single affine correspondence. - Vage Egiazarian, Savva Ignatyev, Alexey Artemov, Oleg Voynov, Andrey Kravchenko, Youyi Zheng, Luiz Velho, Evgeny Burnaev:
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. - Jirí Adámek:
On free completely iterative algebras. - Maria Salama, Rami Bahsoon, Rajkumar Buyya:
Architectural Stability Reasoning using Self-Awareness Principles: Case of Self-Adaptive Cloud Architectures. - Guillaume Gbikpi-Benissan, Patrick Callet, Frédéric Magoulès:
Spectral domain decomposition method for physically-based rendering of photochromic/electrochromic glass windows. - Saumik Dana, Mary F. Wheeler:
Design of convergence criterion for fixed stress split iterative scheme for small strain anisotropic poroelastoplasticity coupled with single phase flow. - Zibin Zheng, Hong-Ning Dai:
Blockchain Intelligence: When Blockchain Meets Artificial Intelligence. - Peter Mell:
Augmenting Fiat Currency with an Integrated Managed Cryptocurrency. - Peter Mell, Aurélien Delaitre, Frederic J. de Vaulx, Philippe Dessauw:
Implementing a Protocol Native Managed Cryptocurrency. - Sabah Al-Fedaghi:
Thinging as a Way of Modeling in Poiesis: Applications in Software Engineering. - Ibrahim M. Baggili, Vahid Behzadan:
Founding The Domain of AI Forensics. - Lu Sang, Bjoern Haefner, Daniel Cremers:
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. - Ching-pei Lee, Cong Han Lim, Stephen J. Wright:
A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization. - Nikolai Gladychev:
Computer Viruses: The Abstract Theory Revisited. - Charlotte Roman, Paolo Turrini:
Reducing selfish routing inefficiencies using traffic lights. - Tomonori Sadamoto, Aranya Chakrabortty, Jun-ichi Imura:
Fast Online Reinforcement Learning Control using State-Space Dimensionality Reduction. - Mustafa Coskun, Abdelkader Baggag, Mehmet Koyutürk:
Fast Computation of Katz Index for Efficient Processing of Link Prediction Queries. - Johannes de Fine Licht, Grzegorz Kwasniewski, Torsten Hoefler:
Flexible Communication Avoiding Matrix Multiplication on FPGA with High-Level Synthesis. - Songtao Wu, Sheng-hua Zhong, Yan Liu, Mengyuan Liu:
CIS-Net: A Novel CNN Model for Spatial Image Steganalysis via Cover Image Suppression. - Boris Ryabko:
On asymptotically optimal tests for random number generators. - Steven Finch:
Resolving Conflicts and Electing Leaders. - Marc P. Armstrong:
High Performance Computing for Geospatial Applications: A Prospective View. - Marc P. Armstrong:
High Performance Computing for Geospatial Applications: A Retrospective View. - Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls:
Active emulation of computer codes with Gaussian processes - Application to remote sensing. - Zhenfeng Zhu, Yingying Meng, Deqiang Kong, Xingxing Zhang, Yandong Guo, Yao Zhao:
To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene. - Eduard Gibert Renart, Daniel Balouek-Thomert, Manish Parashar:
Challenges in designing edge-based middlewares for the Internet of Things: A survey. - Soham Sheth, Arthur Moncorgé:
Inexact Newton Method for General Purpose Reservoir Simulation. - Eli Chien, Antonia Maria Tulino, Jaime Llorca:
Active learning in the geometric block model. - Salman Onsori, Arghavan Asad, Kaamran Raahemifar, Mahmood Fathy:
An Energy-Efficient Heterogeneous Memory Architecture for Future Dark Silicon Embedded Chip-Multiprocessors. - Javier Esparza, Stefan Jaax, Mikhail A. Raskin, Chana Weil-Kennedy:
The Complexity of Verifying Population Protocols. - Jiayu Han, Lei Yan, Liuxi Zhang, Aleksi Paaso, Shay Bahramirad, Zuyi Li:
A Multi-timescale Two-stage Robust Grid-friendly Dispatch Model for Microgrid Operation. - Thierry Denoeux, Prakash P. Shenoy:
An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions. - Radina Dobreva, Jie Zhou, Rachel Bawden:
Document Sub-structure in Neural Machine Translation. - Malihe Alikhani, Baber Khalid, Rahul Shome, Chaitanya Mitash, Kostas E. Bekris, Matthew Stone:
That and There: Judging the Intent of Pointing Actions with Robotic Arms. - Xuanchi Ren, Haoran Li, Zijian Huang, Qifeng Chen:
Music-oriented Dance Video Synthesis with Pose Perceptual Loss. - Assia Mahboubi, Thomas Sibut-Pinote:
A Formal Proof of the Irrationality of ζ(3). - Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Romain Guillaume, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Christel Vrain:
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). - Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide:
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. - Khaled M. Furati, Kassem Mustapha, Ibrahim O. Sarumi, Olaniyi Samuel Iyiola:
Inverse source in two-parameter anomalous diffusion, numerical algorithms and simulations over graded time-meshes. - Hazel Doughty, Ivan Laptev, Walterio W. Mayol-Cuevas, Dima Damen:
Action Modifiers: Learning from Adverbs in Instructional Videos. - Hugues Randriambololona:
The quadratic hull of a code and the geometric view on multiplication algorithms. - James Yi Tian, Alexander P. Kreuzer, Pai-Hung Chen, Hans-Martin Will:
WaLDORf: Wasteless Language-model Distillation On Reading-comprehension. - Steven Schwarcz, Peng Xu, David B. D'Ambrosio, Juhana Kangaspunta, Anelia Angelova, Huong Phan, Navdeep Jaitly:
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong. - Robin Jess Williams, Elisabeth de Carvalho, Thomas L. Marzetta:
A Communication Model for Large Intelligent Surfaces. - Yao Xiang, Wanxin Sun, Changli Pan, Meng Yan, Zhihua Yin, Yixiong Liang:
A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network. - Rosana Ardila, Megan Branson, Kelly Davis, Michael Henretty, Michael Kohler, Josh Meyer, Reuben Morais, Lindsay Saunders, Francis M. Tyers, Gregor Weber:
Common Voice: A Massively-Multilingual Speech Corpus. - Mathieu Pagé Fortin, Brahim Chaib-draa:
Few-shot Learning with Contextual Cueing for Object Recognition in Complex Scenes. - Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemyslaw Debiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Christopher Hesse, Rafal Józefowicz, Scott Gray, Catherine Olsson, Jakub Pachocki, Michael Petrov, Henrique Pondé de Oliveira Pinto, Jonathan Raiman, Tim Salimans, Jeremy Schlatter, Jonas Schneider, Szymon Sidor, Ilya Sutskever, Jie Tang, Filip Wolski, Susan Zhang:
Dota 2 with Large Scale Deep Reinforcement Learning. - Taha Emara, Hossam E. Abd El Munim, Hazem M. Abbas:
LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation. - Kristina Enes, Hassan Errami, Moritz Wolter, Tim Krake, Bernhard Eberhardt, Andreas Weber, Jörg Zimmermann:
Unsupervised and Generic Short-Term Anticipation of Human Body Motions. - Wei-Lin Hsiao, Kristen Grauman:
Dressing for Diverse Body Shapes. - Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan:
Hierarchical Deep Stereo Matching on High-resolution Images. - Michael B. Kane, Kunind Sharma:
Data-driven Identification of Occupant Thermostat-Behavior Dynamics. - Pouria Razzaghi, Ehab Al Khatib, Yildirim Hurmuzlu:
Robust Quadratic Gaussian Control of Continuous-time Nonlinear Systems. - Jonathan Raiman, Susan Zhang, Christy Dennison:
Neural Network Surgery with Sets. - Jonathan Raiman, Susan Zhang, Filip Wolski:
Long-Term Planning and Situational Awareness in OpenAI Five. - Daniel Karl I. Weidele, Justin D. Weisz, Eno Oduor, Michael J. Muller, Josh Andres, Alexander G. Gray, Dakuo Wang:
AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates. - Christopher A. Metzler, David B. Lindell, Gordon Wetzstein:
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path at Long Standoff Distances. - Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li:
Associating Natural Language Comment and Source Code Entities. - Alejandro Murillo-González, José David Ortega Pabón, Juan Guillermo Paniagua, Olga Lucía Quintero Montoya:
Laguerre-Gauss Preprocessing: Line Profiles as Image Features for Aerial Images Classification. - Davide Illiano, Iuliu Sorin Pop, Florin Adrian Radu:
An efficient numerical scheme for fully coupled flow and reactive transport in variably saturated porous media including dynamic capillary effects. - Tim De Ryck, Siddhartha Mishra, Deep Ray:
On the approximation of rough functions with deep neural networks. - Daniel W. Peterson, Pallika Kanani, Virendra J. Marathe:
Private Federated Learning with Domain Adaptation. - Sen Na, Mihai Anitescu:
Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming. - Abolfazl Ghazizadeh, Behzad Akbari, Mohammad Mahdi Tajiki:
Joint Reliability-aware and Cost Efficient Path Allocation and VNF Placement using Sharing Scheme. - Rahul Radhakrishnan Iyer, Katia P. Sycara:
An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text. - Thomas Sandholm, Bernardo A. Huberman, Belal Hamzeh, Scott H. Clearwater:
Learning to Wait: Wi-Fi Contention Control using Load-based Predictions. - Yufei Hao, Shantonu Biswas, Elliot W. Hawkes, Tianmiao Wang, Mengjia Zhu, Li Wen, Yon Visell:
A Multimodal, Enveloping Soft Gripper: Shape Conformation, Bioinspired Adhesion, and Expansion-Driven Suction. - Minkyu Kim, Luis Sentis:
Active Object Tracking using Context Estimation: Handling Occlusions and Detecting Missing Targets. - John Moberg, Lennart Svensson, Juliano Pinto, Henk Wymeersch:
Bayesian Linear Regression on Deep Representations. - Miguel Romero, Yannet Interian, Timothy D. Solberg, Gilmer Valdes:
Training Deep Learning models with small datasets. - Yu Wang, Xiaoxi Zhu:
Fuzzy Logic based Autonomous Parking Systems - Part I: An Integrated Multi-functional System. - Dhritimaan Das, Ayush Agarwal, Pratik Chattopadhyay, Lipo Wang:
RGait-NET: An Effective Network for Recovering Missing Information from Occluded Gait Cycles. - Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen:
Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model. - Rusheng Zhang, Baptiste Jacquemot, Kagan Bakirci, Sacha Bartholme, Killian Kaempf, Baptiste Freydt, Loic Montandon, Shenqi Zhang, Ozan K. Tonguz:
Leader selection in Vehicular Ad-hoc Network: a Proactive Approach. - Elham Ahmadi, Jafar Zarei, Roozbeh Razavi-Far, Mehrdad Saif:
A Dual Approach for Positive T-S Fuzzy Controller Design and Its Application to Cancer Treatment Under Immunotherapy and Chemotherapy. - Elham Ahmadi, Jafar Zarei:
Stability and Stabilization Analysis of Interval Positive Takagi-Sugeno Fuzzy Systems by using Convex Optimization. - Hanson Wang, Zehui Wang, Yuanyuan Ma:
Predictive Precompute with Recurrent Neural Networks. - Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus:
Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps. - Dicong Qiu, Yibiao Zhao, Chris L. Baker:
PODDP: Partially Observable Differential Dynamic Programming for Latent Belief Space Planning. - Ekansh Sharma, Daniel M. Roy:
Approximations in Probabilistic Programs. - Steve Kommrusch:
Artificial Intelligence Techniques for Security Vulnerability Prevention. - Xun Wang, Haozhi Zhang, Weilin Huang, Matthew R. Scott:
Cross-Batch Memory for Embedding Learning. - Arindam Saha, James A. R. Marshall, Andreagiovanni Reina:
A decentralized algorithm for network node counting. - Puja Sahu, Nandyala Hemachandra:
Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter. - Preslav Nakov, Zornitsa Kozareva, Alan Ritter, Sara Rosenthal, Veselin Stoyanov, Theresa Wilson:
SemEval-2013 Task 2: Sentiment Analysis in Twitter. - Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang:
Learning discriminative and robust time-frequency representations for environmental sound classification. - Lynn Boen, Karel J. in 't Hout:
Operator splitting schemes for American options under the two-asset Merton jump-diffusion model. - Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov:
Proppy: A System to Unmask Propaganda in Online News. - Aamna Tariq, Hina Binte Haq, Syed Taha Ali:
Cerberus: A Blockchain-Based Accreditation and Degree Verification System. - Ricardo Morla:
Ten AI Stepping Stones for Cybersecurity. - Qinghua Zheng, Jun Liu, Hongwei Zeng, Zhaotong Guo, Bei Wu, Bifan Wei:
Knowledge forest: a novel model to organize knowledge fragments. - Pedro Peña, Toffee Albina:
Follow Pedro! An Infrared-based Person-Follower using Nonlinear Optimization. - Vishnu Sarukkai, Anirudh Jain, Burak Uzkent, Stefano Ermon:
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks. - Heng Wang, Donghao Zhang, Yang Song, Heng Huang, Mei Chen, Weidong Cai:
Region and Object based Panoptic Image Synthesis through Conditional GANs. - Guolei Sun, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes. - Mihai Suteu, Yike Guo:
Regularizing Deep Multi-Task Networks using Orthogonal Gradients. - Tanja E. J. Vos, I. S. W. B. Prasetya, Gordon Fraser, Iván Martínez-Ortiz, Iván J. Pérez-Colado, Rui Prada, José Bernardo Rocha, António Rito Silva:
IMPRESS: Improving Engagement in Software Engineering Courses through Gamification. - Roberto B. Di Renna, Rodrigo C. de Lamare:
Study of Adaptive Activity-Aware Constellation List-Based Detection for Massive Machine-Type Communications. - Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban:
LScDC-new large scientific dictionary. - Svitlana Vakulenko:
Knowledge-based Conversational Search. - Theocharis Kravaris, Christos Spatharis, Alevizos Bastas, George A. Vouros, Konstantinos Blekas, Gennady L. Andrienko, Natalia V. Andrienko, Jose Manuel Cordero Garcia:
Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods. - Dimitrios Letsios, Jeremy T. Bradley, Suraj G, Ruth Misener, Natasha Page:
Approximating Bounded Job Start Scheduling with Application in Royal Mail Deliveries under Uncertainty. - Ronny Chevalier, David Plaquin, Chris I. Dalton, Guillaume Hiet:
Survivor: A Fine-Grained Intrusion Response and Recovery Approach for Commodity Operating Systems. - Pawel M. Morkisz, Pawel Przybylowicz:
Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information. - Qing Cheng, Jie Shen:
Global constraints preserving SAV schemes for gradient flows. - Steven G. Johnson:
Accurate solar-power integration: Solar-weighted Gaussian quadrature. - Thomas Hardjono, Alex Pentland:
Privacy-Preserving Claims Exchange Networks for Virtual Asset Service Providers. - Keita Kurita, Anna Belova, Antonios Anastasopoulos:
Towards Robust Toxic Content Classification. - Tanmay Randhavane, Uttaran Bhattacharya, Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha:
The Liar's Walk: Detecting Deception with Gait and Gesture. - Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar:
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator. - Nicolas Garneau, Jean-Samuel Leboeuf, Yuval Pinter, Luc Lamontagne:
Attending Form and Context to Generate Specialized Out-of-VocabularyWords Representations. - Qingkai Shi, Rongxin Wu, Gang Fan, Charles Zhang:
Conquering the Extensional Scalability Problem for Value-Flow Analysis Frameworks. - Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. - Wenhang Bao, Xiao-Yang Liu:
Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System. - Reuben Binns:
On the Apparent Conflict Between Individual and Group Fairness. - Mahmoud Afifi, Michael S. Brown:
Sensor-Independent Illumination Estimation for DNN Models. - Aakash Srinivasan, Harshavardhan Kamarthi, Devi Ganesan, Sutanu Chakraborti:
Integrating Lexical Knowledge in Word Embeddings using Sprinkling and Retrofitting. - Hao Guo, Brian Dolhansky, Eric Hsin, Phong Dinh, Song Wang, Cristian Canton-Ferrer:
Deep Poisoning Functions: Towards Robust Privacy-safe Image Data Sharing. - Jared Strader, Kyohei Otsu, Ali-akbar Agha-mohammadi:
Perception-aware Autonomous Mast Motion Planning for Planetary Exploration Rovers. - Sawsan Alqahtani, Ajay Mishra, Mona T. Diab:
Efficient Convolutional Neural Networks for Diacritic Restoration. - Sudarshan Sharma, Dhruv Thapar, Nikhil Bhelave, Mrigank Sharad:
Adaptive Multi-bit SRAM Topology Based Analog PUF. - Lulu Wan, George Papageorgiou, Michael Seddon, Mirko Bernardoni:
Long-length Legal Document Classification. - Tom Schaul, Diana Borsa, David Ding, David Szepesvari, Georg Ostrovski, Will Dabney, Simon Osindero:
Adapting Behaviour for Learning Progress. - Shahrzad Kiani, Nuwan S. Ferdinand, Stark C. Draper:
Hierarchical Coded Matrix Multiplication. - Long Zhang, Deepika Tiwari, Brice Morin, Benoit Baudry, Martin Monperrus:
Automatic Observability for Dockerized Java Applications. - Hanqing Wang, Nir Shlezinger, Yonina C. Eldar, Shi Jin, Mohammadreza F. Imani, Insang Yoo, David R. Smith:
Dynamic Metasurface Antennas for MIMO-OFDM Receivers with Bit-Limited ADCs. - Erik P. Duhaime, Brittany M. Bond, Qi Yang, Patrick M. De Boer, Thomas W. Malone:
Recruiting Hay to Find Needles: Recursive Incentives and Innovation in Social Networks. - Kang Gao, J. Nicholas Laneman, N. J. Estes, Jonathan D. Chisum, Bertrand M. Hochwald:
Training for Channel Estimation in Nonlinear Multi-Antenna Transceivers. - Akash Kumar Gautam, Puneet Mathur, Rakesh Gosangi, Debanjan Mahata, Ramit Sawhney, Rajiv Ratn Shah:
#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement. - Hao Tang, Dan Xu, Hong Liu, Nicu Sebe:
Asymmetric Generative Adversarial Networks for Image-to-Image Translation. - Christine Bauer, Markus Schedl:
Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems. - Sebastian B. M. Bosma, Sergey Klevtsov, Olav Møyner, Nicola Castelletto:
Enhanced multiscale restriction-smoothed basis (MsRSB) preconditioning with applications to porous media flow and geomechanics. - Bernardo Martin-Iradi, Stefan Ropke:
A column-generation-based matheuristic for periodic train timetabling with integrated passenger routing. - Sayani Seal, Benoit Boulet, Vahid Raissi Dehkordi:
Centralized Model Predictive Control Strategy for Thermal Comfort and Residential Energy Management. - Tobias Breiten, Sergey Dolgov, Martin Stoll:
Solving differential Riccati equations: A nonlinear space-time method using tensor trains. - Peng Hou, Guangya Yang, Junjie Hu, Philip J. Douglass:
A network-constrained rolling transactive energy model for EV aggregators participating in balancing marke. - Mahmoud Afifi, Michael S. Brown:
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance. - Bin Sheng:
FPT algorithms for generalized feedback vertex set problems. - Aditya Cowsik, John W. Clark:
Breast Cancer Diagnosis by Higher-Order Probabilistic Perceptrons. - Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks. - Wanshan Yang, Ting Huang, Junlin Zeng, Lijun Chen, Shivakant Mishra, Youjian Liu:
Utilizing Players' Playtime Records for Churn Prediction: Mining Playtime Regularity. - Aditya MVS, Chitrarth Shrivastava, Gaurav S. Kasbekar:
Coalitional Game Framework for Content Distribution Using Device-to-device Communication. - Jarom D. Hogue, Rosemary A. Renaut, Saeed Vatankhah:
A Tutorial and Open Source Software for the Efficient Evaluation of Gravity and Magnetic Kernels. - Jon Gillick, David Bamman:
Breaking Speech Recognizers to Imagine Lyrics. - Weimian Li, Baoyang Chen, Wenmin Wang:
Brain-Inspired Inference on Missing Video Sequence. - Michael R. Walker II:
Local Parametric Surface Approximation With Automatic Order Selection From Position Data. - Sara Ahmadian, Vaggos Chatziafratis, Alessandro Epasto, Euiwoong Lee, Mohammad Mahdian, Konstantin Makarychev, Grigory Yaroslavtsev:
Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection. - Ziyi Wang, Zhaohao Wang, Yansong Xu, Bi Wu, Weisheng Zhao:
Erase-hidden and Drivability-improved Magnetic Non-Volatile Flip-Flops with NAND-SPIN Devices. - Jicong Fan, Yuqian Zhang, Madeleine Udell:
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning. - Xing Liu, Weihua Deng:
Numerical approximation for fractional diffusion equation forced by a tempered fractional Gaussian noise. - Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles:
Action Genome: Actions as Composition of Spatio-temporal Scene Graphs. - ByungIn Yoo, Tristan Sylvain, Yoshua Bengio, Junmo Kim:
Joint Learning of Generative Translator and Classifier for Visually Similar Classes. - Sungjoon Koh, Junhyeok Jang, Changrim Lee, Miryeong Kwon, Jie Zhang, Myoungsoo Jung:
Faster than Flash: An In-Depth Study of System Challenges for Emerging Ultra-Low Latency SSDs. - Sai Wu, Xinyi Yu, Gang Chen, Yusong Gao, Xiaojie Feng, Wei Cao:
Progressive Neural Index Search for Database System. - Wei Quan Lim:
Small Connected Planar Graph with 1-Cop-Move Number 4. - Han Li:
A Statistical Explanation of the Timing Attack on QC-MDPC Code Crypto-system. - Albert Pumarola, Stefan Popov, Francesc Moreno-Noguer, Vittorio Ferrari:
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds. - Zhe Chen, Wanli Ouyang, Tongliang Liu, Dacheng Tao:
A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection. - Jesper Haahr Christensen, Sascha Hornauer, Stella X. Yu:
BatVision: Learning to See 3D Spatial Layout with Two Ears. - Erik Burman, Peter Hansbo, Mats G. Larson:
Augmented Lagrangian Method for Thin Plates with Signorini Boundaries. - Yanyan Wei, Zhao Zhang, Yang Wang, Mingliang Xu, Yi Yang, Shuicheng Yan, Meng Wang:
DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking. - Zhao Zhang, Zemin Tang, Yang Wang, Zheng Zhang, Shuicheng Yan, Meng Wang:
Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks. - Silpa V. S, Adarsh K, S. Sumitra, Raju K. George:
Disentanglement based Active Learning. - Haoran Song, Joshua A. Haustein, Weihao Yuan, Kaiyu Hang, Michael Yu Wang, Danica Kragic, Johannes A. Stork:
Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting. - Abhishek Prusty, Sowmya Aitha, Abhishek Trivedi, Ravi Kiran Sarvadevabhatla:
Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts. - Xin Liu, Jason Frank:
Symplectic Runge-Kutta discretization of a regularized forward-backward sweep iteration for optimal control problems. - Herbert Egger, Vsevolod Shashkov:
On energy preserving high-order discretizations for nonlinear acoustics. - Nathalie Bertrand, Patricia Bouyer, Anirban Majumdar:
Reconfiguration and Message Losses in Parameterized Broadcast Networks. - Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh:
How Should an Agent Practice? - Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev:
Integral Mixabilty: a Tool for Efficient Online Aggregation of Functional and Probabilistic Forecasts. - Dafydd Gibbon:
Computational Induction of Prosodic Structure. - Herbert Egger, Bogdan Radu:
A second order finite element method with mass lumping for wave equations in H(div). - Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan:
One-Shot Induction of Generalized Logical Concepts via Human Guidance. - Amit Kumar Verma, Mukesh Kumar Rawani:
An improved Haar wavelet quasilinearization technique for a class of generalized Burger's equation. - Qurrat-Ul-Ain Nadeem, Anas Chaaban, Mérouane Debbah:
Multi-User Opportunistic Beamforming using Reconfigurable Surfaces. - Shuo Li, Ekin Öztürk, Christophe De Wagter, Guido C. H. E. de Croon, Dario Izzo:
Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles. - Cécile Haberstich, Anthony Nouy, Guillaume Perrin:
Boosted optimal weighted least-squares. - Antti Virtanen, Jenna Kanerva, Rami Ilo, Jouni Luoma, Juhani Luotolahti, Tapio Salakoski, Filip Ginter, Sampo Pyysalo:
Multilingual is not enough: BERT for Finnish. - Erixhen Sula, Michael Gastpar:
Relaxed Wyner's Common Information. - Kyle D. Julian, Mykel J. Kochenderfer:
Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance Systems. - Dimitrios Katsaros:
Hunting for supernovae articles in the universe of scientometrics. - Omid Jafari, Khandker Mushfiqul Islam, Parth Nagarkar:
Drawbacks and Proposed Solutions for Real-time Processing on Existing State-of-the-art Locality Sensitive Hashing Techniques. - Stephen Mayhew, Nitish Gupta, Dan Roth:
Robust Named Entity Recognition with Truecasing Pretraining. - Christian Engwer, Iuliu Sorin Pop, Thomas Wick:
Dynamic and weighted stabilizations of the L-scheme applied to a phase-field model for fracture propagation. - Omid Jafari, Parth Nagarkar, Jonathan Montaño:
Efficient Bitmap-based Indexing and Retrieval of Similarity Search Image Queries. - Jianqing Jia, Semir Elezovikj, Heng Fan, Shuojin Yang, Jing Liu, Wei Guo, Chiu C. Tan, Haibin Ling:
Semantic-Aware Label Placement for Augmented Reality in Street View. - (Withdrawn) Towards Building a Real Time Mobile Device Bird Counting System Through Synthetic Data Training and Model Compression.
- Johnson Carroll, Hassan Hmedi, Ari Arapostathis:
Optimal sensor scheduling under intermittent observations subject to network dynamics. - Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker:
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization. - Jiancao Hou, Yansha Deng, Mohammad Shikh-Bahaei:
Joint Beamforming, User Association, and Power Control for Cellular-Enabled UAV Communications. - Jinjin Gu, Yujun Shen, Bolei Zhou:
Image Processing Using Multi-Code GAN Prior. - Paola F. Antonietti, Gianmarco Manzini, Hashem M. Mourad, Marco Verani:
The virtual element method for linear elastodynamics models. Design, analysis, and implementation. - Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool:
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. - Amirhossein Kiani, Chris Wang, Angela Xu:
Sepsis World Model: A MIMIC-based OpenAI Gym "World Model" Simulator for Sepsis Treatment. - Peng Hou, Guangya Yang, Junjie Hu, Philip J. Douglass, Yusheng Xue:
An Interactive Transactive Energy Mechanism Integrating Grid Operators, Aggregators and Prosumers. - (Withdrawn) Semantic Segmentation for Compound figures.
- Cristiana Santos, Nataliia Bielova, Célestin Matte:
Are cookie banners indeed compliant with the law? Deciphering EU legal requirements on consent and technical means to verify compliance of cookie banners. - Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
PyHessian: Neural Networks Through the Lens of the Hessian. - Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Predicting the Future: A Jointly Learnt Model for Action Anticipation. - Mishfad Shaikh Veedu, Harish Doddi, Murti V. Salapaka:
Topology Identification with Latent Nodes using Matrix Decomposition. - Yue Fu, Rong Du, Haibo Hu, Man Ho Au, Dagang Li:
Matrix Bloom Filter: An Efficient Probabilistic Data Structure for 2-tuple Batch Lookup. - Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun:
DAmageNet: A Universal Adversarial Dataset. - Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson:
Transductive Zero-Shot Learning for 3D Point Cloud Classification. - Sachini Jayasekara, Aaron Harwood, Shanika Karunasekera:
Optimal Multi-Level Interval-based Checkpointing for Exascale Stream Processing Systems. - Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection. - Yuming Li, Rong Zhang, Yuchen Li, Shu Ke, Shuyan Zhang, Aoying Zhou:
Lauca: Generating Application-Oriented Synthetic Workloads. - Jiawang Nie, Zi Yang:
Hermitian Tensor Decompositions. - Osman Tursun, Simon Denman, Rui Zeng, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes:
MTRNet++: One-stage Mask-based Scene Text Eraser. - Qian Wang, He Henry Chen, Yonghui Li, Zhibo Pang, Branka Vucetic:
Minimizing Age of Information for Real-Time Monitoring in Resource-Constrained Industrial IoT Networks. - Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki:
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing. - Gayathri Krishnamoorthy, Anamika Dubey:
Transmission-Distribution Co-Simulation: Analytical Methods for Iterative Coupling. - Gayathri Krishnamoorthy, Rabayet Sadnan, Anamika Dubey:
Distributed PV Penetration Impact Analysis on Transmission System Voltages using Co-Simulation. - Jianze Li, Konstantin Usevich, Pierre Comon:
On the convergence of Jacobi-type algorithms for Independent Component Analysis. - Vishesh Mistry, Joshua J. Engelsma, Anil K. Jain:
Fingerprint Synthesis: Search with 100 Million Prints. - Gayathri Krishnamoorthy, Anamika Dubey:
A Framework to Analyze Interactions between Transmission and Distribution Systems. - Robert X. D. Hawkins, Michael C. Frank, Noah D. Goodman:
Characterizing the dynamics of learning in repeated reference games. - Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogério Schmidt Feris:
A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. - Gayathri Krishnamoorthy, Anamika Dubey:
Hybrid Transmission Distribution Co-simulation: Frequency Regulation using Battery Energy Storage. - Soo Ye Kim, Jihyong Oh, Munchurl Kim:
FISR: Deep Joint Frame Interpolation and Super-Resolution with A Multi-scale Temporal Loss. - Kevin Luo, Shuping Dang, Basem Shihada, Mohamed-Slim Alouini:
Prospect Theory for Human-Centric Communications. - Yongjing Yin, Linfeng Song, Jinsong Su, Jiali Zeng, Chulun Zhou, Jiebo Luo:
Graph-based Neural Sentence Ordering. - Ning Li, Jianen Yan, Zhaoxin Zhang, Alex X. Liu, Xin Yuan:
Pairwise-based Multi-Attribute Decision Making Approach for Wireless Network. - Jiali Zeng, Yang Liu, Jinsong Su, Yubin Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo:
Iterative Dual Domain Adaptation for Neural Machine Translation. - Yuchen Liu, Jiajun Zhang, Hao Xiong, Long Zhou, Zhongjun He, Hua Wu, Haifeng Wang, Chengqing Zong:
Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding. - Congcong Zhu, Hao Liu, Zhenhua Yu, Xuehong Sun:
Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos. - Kamal Singh, Chandradeep Singh:
Comments and Corrections to "Capacity of Multiple-Antenna Systems With Both Receiver and Transmitter Channel State Information". - Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi:
Latent Complete Row Space Recovery for Multi-view Subspace Clustering. - Philippe Weinzaepfel, Grégory Rogez:
Mimetics: Towards Understanding Human Actions Out of Context. - (Withdrawn) Learning Malware Representation based on Execution Sequences.
- Artur Kobus:
Computational enhancement of discrete gradient method. - Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu:
VLSI Mask Optimization: From Shallow To Deep Learning. - Syed Tahseen Raza Rizvi, Andreas Dengel, Sheraz Ahmed:
DeepBiRD: An Automatic Bibliographic Reference Detection Approach. - Ke Sun, Tieyun Qian:
Seq2seq Translation Model for Sequential Recommendation. - Jingjing Zhang, Osvaldo Simeone, Zoran Cvetkovic, Eugenio Abela, Mark P. Richardson:
ITENE: Intrinsic Transfer Entropy Neural Estimator. - Frédéric Cuppens, Nora Cuppens-Boulahia, Joaquín García-Alfaro:
Misconfiguration Management of Network Security Components. - Kingshuk Majumder, Uday Bondhugula:
A flexible FPGA accelerator for convolutional neural networks. - Michele Benzi, Daniele Bertaccini, Fabio Durastante:
Fractional dynamics on directed networks. - Tao Wen:
Evaluating the Vulnerability of Communities in Social Networks by Gravity Model. - Tsonka Baicheva, Peter Kazakov:
CRC selection for decoding of CRC-polar concatenated codes. - Sijia Wen, Yinqiang Zheng, Feng Lu, Qinping Zhao:
Joint Chromatic and Polarimetric Demosaicing via Sparse Coding. - Jan Komenda, Tomás Masopust:
Conditions for Hierarchical Supervisory Control under Partial Observation. - Jirí Balun, Tomás Masopust:
On Verification of Strong Periodic D-Detectability for Discrete Event Systems. - Jirí Balun, Tomás Masopust:
On Opacity Verification for Discrete-Event Systems. - Guiyang Xin, Joshua Smith, David Rytz, Wouter Wolfslag, Hsiu-Chin Lin, Michael N. Mistry:
Bounded haptic teleoperation of a quadruped robot's foot posture for sensing and manipulation. - Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka:
Kernel-based interpolation at approximate Fekete points. - Michal Idzik:
Multi-Objective Evolutionary Algorithms platform with support for flexible hybridization tools. - Matias Martinez, Anne Etien, Stéphane Ducasse, Christopher P. Fuhrman:
RTj: a Java framework for detecting and refactoring rotten green test cases. - Kushal Singla, Joy Bose, Chetan Naik:
Analysis of Software Engineering for Agile Machine Learning Projects. - Juha Sarmavuori, Simo Särkkä:
On the Convergence of Numerical Integration as a Finite Matrix Approximation to Multiplication Operator. - Karan Jakhar, Rohit Bajaj, Ruchika Gupta:
Pneumothorax Segmentation: Deep Learning Image Segmentation to predict Pneumothorax. - Ufuk Altun, Semiha Tedik Basaran, Gunes Karabulut-Kurt, Enver Ozdemir:
Scalable Group Secret Key Generation over Wireless Channels. - Catherine Capellen, Max Schwarz, Sven Behnke:
ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation. - Alexander Effland, Behrend Heeren, Martin Rumpf, Benedikt Wirth:
Consistent Curvature Approximation on Riemannian Shape Spaces. - Martin E. Bidlingmaier, Florian Faissole, Bas Spitters:
Synthetic topology in Homotopy Type Theory for probabilistic programming. - Sa'ed Abed, Adnan Rashid, Osman Hasan:
Formal Analysis of the Biological Circuits using Higher-order-logic Theorem Proving. - Michele Cucuzzella, Krishna Chaitanya Kosaraju, Thijs Bouman, Geertje Schuitema, Steph Johnson-Zawadzki, Carlo Fischione, Linda Steg, Jacquelien M. A. Scherpen:
Distributed control of DC grids: a social perspective. - Ibrahim Yildirim, Ali Uyrus, Ertugrul Basar, Ian F. Akyildiz:
Propagation Modeling and Analysis of Reconfigurable Intelligent Surfaces for Indoor and Outdoor Applications in 6G Wireless Systems. - Abhishek Sharma, Gede Artha Azriadi Prana, Anamika Sawhney, Nachiappan Nagappan, David Lo:
Analyzing Offline Social Engagements: An Empirical Study of Meetup Events Related to Software Development. - Junsoo Kim, Hyungbo Shim, Kyoohyung Han:
Dynamic Controller that Operates over Homomorphically Encrypted Data for Infinite Time Horizon. - Heidi Komkov, Alessandro Restelli, Brian Hunt, Liam Shaughnessy, Itamar Shani, Daniel P. Lathrop:
The Recurrent Processing Unit: Hardware for High Speed Machine Learning. - M. Ali Dorosty, Fathiyeh Faghih, Ehsan Khamespanah:
Decentralized Runtime Verification for LTL Properties Using Global Clock. - Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision. - Abeba Birhane, Fred Cummins:
Algorithmic Injustices: Towards a Relational Ethics. - Soheil Habibian:
Analysis and Control of Fiber-Reinforced Elastomeric Enclosures (FREEs). - Q. Vera Liao, Michael J. Muller:
Enabling Value Sensitive AI Systems through Participatory Design Fictions. - Vedang M. Deshpande, Raktim Bhattacharya, Diego A. Donzis:
A unified framework to generate optimized compact finite difference schemes. - Sil Schouten, Daming Lou, Siep Weiland:
Model reduction for linear parameter-varying systems through parameter projection. - Jacqueline G. Cavazos, P. Jonathon Phillips, Carlos Domingo Castillo, Alice J. O'Toole:
Accuracy comparison across face recognition algorithms: Where are we on measuring race bias? - Jürgen Lerner, Mark Tranmer, John Mowbray, Marian-Gabriel Hancean:
REM beyond dyads: relational hyperevent models for multi-actor interaction networks. - Diego Rodriguez, Hafez Farazi, Grzegorz Ficht, Dmytro Pavlichenko, André Brandenburger, Mojtaba Hosseini, Oleg Kosenko, Michael Schreiber, Marcell Missura, Sven Behnke:
RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities. - Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson:
Learning Canonical Representations for Scene Graph to Image Generation. - Nina Korshunova, John N. Jomo, Gábor Lékó, Dan Reznik, Péter Balázs, Stefan Kollmannsberger:
Image-based material characterization of complex microarchitectured additively manufactured structures. - Byung Hyung Kim, Seunghun Koh, Sejoon Huh, Sungho Jo:
Improved explanatory efficacy on human affect and workload through interactive process in artificial intelligence. - Patrick Kiss, Elaheh Momeni:
Optimized Tracking of Topic Evolution. - Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation. - Fréjus A. A. Laleye, Antonia Blanié, Antoine Brouquet, Dan Benhamou, Gaël de Chalendar:
Semantic Similarity To Improve Question Understanding in a Virtual Patient. - Dennis Bautembach, Iason Oikonomidis, Nikolaos Kyriazis, Antonis A. Argyros:
Faster and Simpler SNN Simulation with Work Queues. - Mathias Anselmann, Markus Bause:
Higher order Galerkin-collocation time discretization with Nitsche's method for the Navier-Stokes equations. - Nicholas Bonello, Joeran Beel, Séamus Lawless, Jeremy Debattista:
Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football. - Reza Khodayi-Mehr, Michael M. Zavlanos:
VarNet: Variational Neural Networks for the Solution of Partial Differential Equations. - Zhen Li, Hanyang Shao, Nian Xue, Liang Niu, Liangliang Cao:
Progressive Learning Algorithm for Efficient Person Re-Identification. - Audrey Girouard, Jon E. Froehlich, Regan L. Mandryk, Mark Hancock:
Organizing Family Support Services at ACM Conferences. - Kanil Patel, William Beluch, Dan Zhang, Michael Pfeiffer, Bin Yang:
On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration. - Charles K. Chui, Shao-Bo Lin, Bo Zhang, Ding-Xuan Zhou:
Realization of spatial sparseness by deep ReLU nets with massive data. - Guosheng Fu:
Arbitrary Lagrangian-Eulerian hybridizable discontinuous Galerkin methods for incompressible flow with moving boundaries and interfaces. - Shqiponja Ahmetaj, Magdalena Ortiz, Mantas Simkus:
Polynomial Rewritings from Expressive Description Logics with Closed Predicates to Variants of Datalog. - Bobak McCann, Kerry W. Fendick, Aaron David, Antonio DeSimone, Steven Handy:
Improving Conversation Quality for VoIP Through Block Erasure Coding. - Jochen L. Cremer, Goran Strbac:
A Machine-learning based Probabilistic Perspective on Dynamic Security Assessment. - Dawei Zhu, Aditya Mogadala, Dietrich Klakow:
Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network. - Antoine B. Bagula, Emmanuel Tuyishimire, Olasupo Ajayi:
Cyber Physical Systems (CPS) Surveillance Using An Epidemic Model. - Yvon Maday, Carlo Marcati:
Analyticity and hp discontinuous Galerkin approximation of nonlinear Schrödinger eigenproblems. - Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang:
Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering. - Michael Mirkin, Yan Ji, Jonathan Pang, Ariah Klages-Mundt, Ittay Eyal, Ari Juels:
BDoS: Blockchain Denial of Service. - Aakash Sarkar, Marc W. Howard:
Scale-dependent Relationships in Natural Language. - Changbo Chen, Wenyuan Wu, Yong Feng:
Visualizing Planar and Space Implicit Real Algebraic Curves with Singularities. - Guillem Brasó, Laura Leal-Taixé:
Learning a Neural Solver for Multiple Object Tracking. - Mehdi Dadvar, Saeed Moazami, Harley R. Myler, Hassan Zargarzadeh:
Exploration and Coordination of Complementary Multi-Robot Teams In a Hunter and Gatherer Scenario. - Yousef AlHassoun, Faisal Alotaibi, Aly El Gamal, Hesham El Gamal:
Optimal Wireless Caching with Placement Cost. - Mohammad Mahdi Azari, Giovanni Geraci, Adrian García-Rodríguez, Sofie Pollin:
UAV-to-UAV Communications in Cellular Networks. - Vedika Agarwal, Rakshith Shetty, Mario Fritz:
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. - John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek:
Planning with Abstract Learned Models While Learning Transferable Subtasks. - Kailai Xu, Dongzhuo Li, Eric Darve, Jerry M. Harris:
Learning Hidden Dynamics using Intelligent Automatic Differentiation. - Lorenzo Lucchini, Sara Tonelli, Bruno Lepri:
Following the footsteps of giants: Modeling the mobility of historically notable individuals using Wikipedia. - Dan Schmidt, Nick Moran, Jonathan S. Rosenfeld, Jonathan Rosenthal, Jonathan S. Yedidia:
Self-Play Learning Without a Reward Metric. - Wojciech Marian Czarnecki, Simon Osindero, Razvan Pascanu, Max Jaderberg:
A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern. - Grzegorz Gluch, Rüdiger L. Urbanke:
Constructing a provably adversarially-robust classifier from a high accuracy one. - Yu Wang, Xiaoxi Zhu:
Fuzzy Logic based Autonomous Parking Systems - Part III: A Fuzzy Decision Tree System. - Théodore Bluche, Thibault Gisselbrecht:
Predicting detection filters for small footprint open-vocabulary keyword spotting. - Piotr Sapiezynski, Avijit Ghosh, Levi Kaplan, Alan Mislove, Aaron Rieke:
Algorithms that "Don't See Color": Comparing Biases in Lookalike and Special Ad Audiences. - Soumya Kundu, Zhigang Chu, Yuan Liu, Yingying Tang, Qiuhua Huang, Daniel James, Yu Zhang, Pavel V. Etingov, David P. Chassin:
A Nonlinear Regression Method for Composite Protection Modeling of Induction Motor Loads. - Paul Bertens, Seong-Whan Lee:
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level. - Jianen Yan, Ning Li, Zhaoxin Zhang, Alex X. Liu, José-Fernán Martínez, Xin Yuan:
Game Theory based Joint Task Offloading and Resources Allocation Algorithm for Mobile Edge Computing. - Ning Li, Jianen Yan, Zhaoxin Zhang, Xin Yuan:
Trapezoidal Sketch: A Sketch Structure for Frequency Estimation of Data Streams. - Arjun Gupta, Eliu A. Huerta, Zhizhen Zhao, Issam Moussa:
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms. - Sitan Chen, Jerry Li, Zhao Song:
Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments. - Photios A. Stavrou, Mikael Skoglund:
On Zero-Delay RDF for Vector-Valued Gauss-Markov Sources with Additional Noise. - Kjetil Olsen Lye:
Alsvinn: A Fast multi-GPGPU finite volume solver with a strong emphasis on reproducibility. - Haotian Zheng, Bin Chen, Luis Fernando Abanto-Leon, Zizheng Cao, Ton Koonen:
Complexity-Adjustable SC Decoding of Polar Codes for Energy Consumption Reduction. - Alexander L. Hayes, Mayukh Das, Phillip Odom, Sriraam Natarajan:
User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams. - Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz:
UNAS: Differentiable Architecture Search Meets Reinforcement Learning. - Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel J. Yang, Anton Gerashcenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, Joao Pereira, Michael P. Brenner, Lee Rubin, Brian Wainger, Marc Berndl:
It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets. - Alessio Pagani, Abhinav Mehrotra, Mirco Musolesi:
Graph Input Representations for Machine Learning Applications in Urban Network Analysis. - Haoxing Lin, Weijia Jia, Yiping Sun, Yongjian You:
Spatial-Temporal Self-Attention Network for Flow Prediction. - Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim:
To Follow or not to Follow: Selective Imitation Learning from Observations. - Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai:
Finding the Mode of a Kernel Density Estimate. - Weimin Han, Mircea Sofonea:
Convergence Analysis of Penalty Based Numerical Methods for Constrained Inequality Problems. - Benedikt Boecking, Artur Dubrawski:
Pairwise Feedback for Data Programming. - Hong Zhang, Emil M. Constantinescu, Barry F. Smith:
PETSc TSAdjoint: a discrete adjoint ODE solver for first-order and second-order sensitivity analysis. - Jérémie Kreiss, Jean-François Trégouët, Damien Eberard, Romain Delpoux, Jean-Yves Gauthier, Xuefang Lin-Shi:
Hamiltonian Point of View on Parallel Interconnection of Buck Converters Extended version. - Andrea Celli, Marco Ciccone, Raffaele Bongo, Nicola Gatti:
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning. - Víctor Mayoral Vilches, Lander Usategui San Juan, Unai Ayucar Carbajo, Rubén Campo, Xabier Sáez de Cámara, Oxel Urzelai, Nuria García, Endika Gil-Uriarte:
Industrial robot ransomware: Akerbeltz. - David DeFazio, Arti Ramesh:
Adversarial Model Extraction on Graph Neural Networks. - Dimitrios Loukrezis, Armin Galetzka, Herbert De Gersem:
Robust Adaptive Least Squares Polynomial Chaos Expansions in High-Frequency Applications. - Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky:
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy. - Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon:
Incorporating Unlabeled Data into Distributionally Robust Learning. - Gautam Krishna, Mason Carnahan, Co Tran, Ahmed H. Tewfik:
Continuous Speech Recognition using EEG and Video. - Kirk Y. W. Scheper, Guido C. H. E. de Croon:
Evolution of Robust High Speed Optical-Flow-Based Landing for Autonomous MAVs. - Fabian Horst, Djordje Slijepcevic, Sebastian Lapuschkin, Anna-Maria Raberger, Matthias Zeppelzauer, Wojciech Samek, Christian Breiteneder, Wolfgang Immanuel Schöllhorn, Brian Horsak:
On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence. - Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan:
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator. - Siyuan Huang, Yixin Chen, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu:
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points. - Janis Dalins, Campbell Wilson, Douglas Boudry:
PDQ & TMK + PDQF - A Test Drive of Facebook's Perceptual Hashing Algorithms. - Huichen Yang, Carlos A. Aguirre, Maria F. De La Torre, Derek Christensen, Luis Bobadilla, Emily Davich, Jordan Roth, Lei Luo, Yihong Theis, Alice Lam, Thomas Yong-Jin Han, David Buttler, William H. Hsu:
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. - Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer:
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking. - Loris Nanni, Gianluca Maguolo, Michelangelo Paci:
Data augmentation approaches for improving animal audio classification. - Marcel Böhme, Charaka Geethal, Van-Thuan Pham:
Human-In-The-Loop Automatic Program Repair. - Samar M. Alsaleh, Angelica I. Avilés-Rivero, Noémie Debroux, James K. Hahn:
Dim the Lights! - Low-Rank Prior Temporal Data for Specular-Free Video Recovery. - Kevin E. M. Church:
User manual and tutorial for ISIM1s: a tiny MATLAB package for single stage invariant manifold-guided impulsive stabilization of delay equations. - Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. - Megan Morrison, Michael Gabbay:
Community detectability and structural balance dynamics in signed networks. - Sonia Baee, Erfan Pakdamanian, Vicente Ordonez, Inki Kim, Lu Feng, Laura E. Barnes:
EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles. - Laurel J. Orr, Samuel K. Ainsworth, Walter Cai, Kevin G. Jamieson, Magda Balazinska, Dan Suciu:
Mosaic: A Sample-Based Database System for Open World Query Processing. - Wen Zhao, Xiao-Jun Wu, He-Feng Yin, Ziqi Li:
Collaborative representation-based robust face recognition by discriminative low-rank representation. - Wenjun Yu, Xiande Zhang, Gennian Ge:
Optimal Fraction Repetition Codes for Access-Balancing in Distributed Storage. - Dongxue Li, Youquan Zheng:
On the finite element approximation for fractional fast diffusion equations. - Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu:
Quaternion Product Units for Deep Learning on 3D Rotation Groups. - Shimin Gong, Xiao Lu, Dinh Thai Hoang, Dusit Niyato, Lei Shu, Dong In Kim, Ying-Chang Liang:
Towards Smart Radio Environment for Wireless Communications via Intelligent Reflecting Surfaces: A Comprehensive Survey. - Nathan K. Long, Karl Sammut, Daniel Sgarioto, Matthew Garratt, Hussein A. Abbass:
A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach. - Bowen Jing, Ethan A. Chi, Jillian Tang:
SGVAE: Sequential Graph Variational Autoencoder. - Rudzidatul Akmam Dziyauddin, Dusit Niyato, Nguyen Cong Luong, Mohd Azri Mohd Izhar, Marwan Hadhari, Salwani Mohd Daud:
Computation Offloading and Content Caching Delivery in Vehicular Edge Computing: A Survey. - Shufang Zhu, Giuseppe De Giacomo, Geguang Pu, Moshe Y. Vardi:
LTLf Synthesis with Fairness and Stability Assumptions. - Xiaoji Niu, Yibin Wu, Jian Kuang:
WM-INS: A Wheel Mounted IMU Based Integrated Navigation System for Wheeled Robots. - Zi-Rui Wang, Jun Du:
Joint Architecture and Knowledge Distillation in Convolutional Neural Network for Offline Handwritten Chinese Text Recognition. - Aijing Yu, Haoxue Wu, Huaibo Huang, Zhen Lei, Ran He:
LAMP-HQ: A Large-Scale Multi-Pose High-Quality Database for NIR-VIS Face Recognition. - Shousheng Luo, Ruyue Meng, Suhua Wei, Jian-Feng Cai, Xue-Cheng Tai, Yang Wang:
Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data. - Guangyi Zhang, S. Ali Etemad:
Capsule Attention for Multimodal EEG and EOG Spatiotemporal Representation Learning with Application to Driver Vigilance Estimation. - Fahimeh Bahmaninezhad, Shi-Xiong Zhang, Yong Xu, Meng Yu, John H. L. Hansen, Dong Yu:
A Unified Framework for Speech Separation. - Yihao Huang, Jincao Feng, Hanyue Zheng, Jiayi Zhu, Shang Wang, Siyuan Jiang, Weikai Miao, Geguang Pu:
Prema: A Tool for Precise Requirements Editing, Modeling and Analysis. - J. T. Wu, L. Wang:
Angular Learning: Toward Discriminative Embedded Features. - Sandeep Krishna Thirumala, Yi-Tse Hung, Shubham Jain, Arnab Raha, Niharika Thakuria, Vijay Raghunathan, Anand Raghunathan, Zhihong Chen, Sumeet Kumar Gupta:
Valley-Coupled-Spintronic Non-Volatile Memories with Compute-In-Memory Support. - Chao Li, Balaji Palanisamy:
SilentDelivery: Practical Timed-delivery of Private Information using Smart Contracts. - Yue Jiang, Ruofei Du, Christof Lutteroth, Wolfgang Stuerzlinger:
ORC Layout: Adaptive GUI Layout with OR-Constraints. - Sadeep Batewela, Chen-Feng Liu, Mehdi Bennis, Himal A. Suraweera, Choong Seon Hong:
Risk-Sensitive Task Fetching and Offloading for Vehicular Edge Computing. - Fan Zhang, Miao Hu:
Defects Mitigation in Resistive Crossbars for Analog Vector Matrix Multiplication. - Parker S. Ruth, Herbert M. Sauro:
A Commentary on the Linearity and Time-Invariance of ODE-Based Systems. - Yu Chen, Lingfei Wu, Mohammed J. Zaki:
Deep Iterative and Adaptive Learning for Graph Neural Networks. - Satoshi Kosugi, Toshihiko Yamasaki:
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software. - Michiaki Tatsubori, Asim Munawar, Takao Moriyama:
Design and Implementation of Linked Planning Domain Definition Language. - Karthikeyan K, Zihan Wang, Stephen Mayhew, Dan Roth:
Cross-Lingual Ability of Multilingual BERT: An Empirical Study. - Usman A. Fiaz, John S. Baras:
Fast, Composable Rescue Mission Planning for UAVs using Metric Temporal Logic. - Björn Lütjens, Lucas Liebenwein, Katharina Kramer:
Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts. - Nantheera Anantrasirichai, Dimitris Agrafiotis:
Enhanced Spatially Interleaved Techniques for Multi-View Distributed Video Coding. - Mustafa Emara, Hesham ElSawy, Gerhard Bauch:
A Spatiotemporal Model for Peak AoI in Uplink IoT Networks: Time Vs Event-triggered Traffic. - Stéphane Durand, Giacomo Como, Fabio Fagnani:
Controlling network coordination games. - Sicong Zhou, Huawei Huang, Wuhui Chen, Zibin Zheng, Song Guo:
PIRATE: A Blockchain-based Secure Framework of Distributed Machine Learning in 5G Networks. - Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang:
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation. - Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
𝓁0 Regularized Structured Sparsity Convolutional Neural Networks. - Kai Xu, Xiao-Jun Wu, Wen-Bo Hu:
Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering. - Renchun You, Zhiyao Guo, Lei Cui, Xiang Long, Yingze Bao, Shilei Wen:
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification. - Jacob Kahn, Morgane Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux:
Libri-Light: A Benchmark for ASR with Limited or No Supervision. - Maria Strazzullo, Zakia Zainib, Francesco Ballarin, Gianluigi Rozza:
Reduced order methods for parametrized non-linear and time dependent optimal flow control problems, towards applications in biomedical and environmental sciences. - Martin Stoll:
A literature survey of matrix methods for data science. - Yanan Li, Shusen Yang, Xuebin Ren, Cong Zhao:
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence. - Shibo Zhou, Ying Chen, Qiang Ye:
Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data. - Micah Altman, Richard Landau:
Selecting efficient and reliable preservation strategies: modeling long-term information integrity using large-scale hierarchical discrete event simulation. - Rainer Schneckenleitner, Stefan Takacs:
Condition number bounds for IETI-DP methods that are explicit in h and p. - Rahul Radhakrishnan Iyer, Jing Chen, Haonan Sun, Keyang Xu:
A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media. - Fengshi Jing, Qingpeng Zhang:
Knowledge-Enhanced Attentive Learning for Answer Selection in Community Question Answering Systems. - André Coelho, Eduardo Nuno Almeida, José Ruela, Rui Campos, Manuel Ricardo:
A Routing Metric for Inter-flow Interference-aware Flying Multi-hop Networks. - Hannes Thaller, Lukas Linsbauer, Rudolf Ramler, Alexander Egyed:
Probabilistic Software Modeling: A Data-driven Paradigm for Software Analysis. - Dilek Küçük:
To What Extent are Name Variants Used as Named Entities in Turkish Tweets? - Shruti Tople, Marc Brockschmidt, Boris Köpf, Olga Ohrimenko, Santiago Zanella Béguelin:
Analyzing Privacy Loss in Updates of Natural Language Models. - Hazrat Ali, Ahsan Ullah, Talha Iqbal, Shahid Khattak:
Pioneer dataset and automatic recognition of Urdu handwritten characters using a deep autoencoder and convolutional neural network. - Fiorella Artuso, Giuseppe Antonio Di Luna, Luca Massarelli, Leonardo Querzoni:
Function Naming in Stripped Binaries Using Neural Networks. - Abhiruk Lahiri, Joydeep Mukherjee, C. R. Subramanian:
Approximating MIS over equilateral B1-VPG graphs. - Ya-Qiong Zhang, Xiao-Jun Wu, Hui Li:
Multi-focus Image Fusion Based on Similarity Characteristics. - Julianne Chung, Matthias Chung, J. Tanner Slagel, Luis Tenorio:
Sampled Limited Memory Methods for Massive Linear Inverse Problems. - Israel Goytom, Qin Wang, Tianxiang Yu, Kris Sankaran, Dongdong Lin:
Nanoscale Microscopy Images Colourisation Using Neural Networks. - Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe:
No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features. - Zi-Ming Wang, Meng-Han Li, Gui-Song Xia:
Conditional Generative ConvNets for Exemplar-based Texture Synthesis. - Heng Yang, Biqing Zeng, Jianhao Yang, Youwei Song, Ruyang Xu:
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction. - Mohamed K. Abdel-Aziz, Sumudu Samarakoon, Chen-Feng Liu, Mehdi Bennis, Walid Saad:
Optimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks. - Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai:
Jointly Trained Image and Video Generation using Residual Vectors. - Nathan Grosshans:
The Power of Programs over Monoids in J. - Carlo Marcati, Maxim V. Rakhuba, Christoph Schwab:
Tensor Rank bounds for Point Singularities in R3. - Noëlie Cherrier, Maxime Defurne, Jean-Philippe Poli, Franck Sabatié:
Embedded Constrained Feature Construction for High-Energy Physics Data Classification. - Marouen Baalouch, Maxime Defurne, Jean-Philippe Poli, Noëlie Cherrier:
Sim-to-Real Domain Adaptation For High Energy Physics. - Jie Liu, Matthias Möller, Henk M. Schuttelaars:
Balancing truncation and round-off errors in practical FEM: one-dimensional analysis. - Shuai D. Han, Si Wei Feng, Jingjin Yu:
Toward Fast and Optimal Robotic Pick-and-Place on a Moving Conveyor. - Gabriela Montoya, Ilkcan Keles, Katja Hose:
Querying Linked Data: An Experimental Evaluation of State-of-the-Art Interfaces. - Xin Feng, Lei Wang:
Application of Word2vec in Phoneme Recognition. - Yoshiro Suzuki:
Multiscale seamless-domain method for nonperiodic fields: linear heat conduction analysis. - Weimin Han, Michal Jureczka, Anna Ochal:
Numerical Studies of a Hemivariational Inequality for a Viscoelastic Contact Problem with Damage. - Michael Röder, Geraldo de Souza, Denis Kuchelev, Abdelmoneim Amer Desouki, Axel-Cyrille Ngonga Ngomo:
ORCA: a Benchmark for Data Web Crawlers. - Ju-Hyung Lee, Ki-Hong Park, Young-Chai Ko, Mohamed-Slim Alouini:
A UAV-Mounted Free Space Optical Communication: Trajectory Optimization for Flight Time. - Janosch Döcker:
Monotone 3-Sat-(2, 2) is NP-complete. - Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Elisa Ricci, Peter Kontschieder:
Single-Stage Monocular 3D Object Detection with Virtual Cameras. - Abramo Agosti, Pasquale Ciarletta, Harald Garcke, Michael Hinze:
Learning patient-specific parameters for a diffuse interface glioblastoma model from neuroimaging data. - Anitha Kannan, Jason Alan Fries, Eric Kramer, Jen Jen Chen, Nigam Shah, Xavier Amatriain:
The accuracy vs. coverage trade-off in patient-facing diagnosis models. - Lorenzo De Stefani:
On the I/O complexity of hybrid algorithms for Integer Multiplication. - Grenville J. Croll:
BiEntropy, TriEntropy and Primality. - Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis:
Fair Contextual Multi-Armed Bandits: Theory and Experiments. - Xiaowei Gu, Muhammad Aurangzeb Khan, Plamen Angelov, Bikash Tiwary, Elnaz Shafipour Yourdshahi, Zhao-Xu Yang:
A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion. - Tian Liu, Lichun Wang, Shaofan Wang:
Feature Fusion Use Unsupervised Prior Knowledge to Let Small Object Represent. - Fantine Huot, Yi-Fan Chen, Robert G. Clapp, Carlos Boneti, John R. Anderson:
High-resolution imaging on TPUs. - Oliver F. Oxtoby, Alexandros Syrakos, Eugene De Villiers, Stylianos Varchanis, Yannis Dimakopoulos, John Tsamopoulos:
A family of first-order accurate gradient schemes for finite volume methods. - Panayiotis Danassis, Marija Sakota, Aris Filos-Ratsikas, Boi Faltings:
Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation. - Diogo C. Luvizon, Hedi Tabia, David Picard:
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition. - Jacob Roth, David A. Barajas-Solano, Panagiotis Stinis, Jonathan Weare, Mihai Anitescu:
A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure. - Pepa Gencheva, Ivan Koychev, Lluís Màrquez, Alberto Barrón-Cedeño, Preslav Nakov:
A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates. - Changyou Li, Mirza Karamehmedovic, Ekaterina Sherina, Kim Knudsen:
Levenberg-Marquardt algorithm for acousto-electric tomography based on the complete electrode model. - Uwe Roth:
Proof of file access in a private P2P network using blockchain. - Avinash Kumar Singh, Kai-Florian Richter:
Conflict Detection and Resolution in Table Top Scenarios for Human-Robot Interaction. - Ning Li, Alex X. Liu, José-Fernán Martínez-Ortega, Vicente Hernández Díaz, Xin Yuan:
The Network-based Candidate Forwarding Set Optimization Approach for Opportunistic Routing in Wireless Sensor Network. - Ning Li, Zhaoxin Zhang, José-Fernán Martínez-Ortega, Xin Yuan:
Geographical and Topology Control based Opportunistic Routing for Ad Hoc Networks. - Christoph Kinkeldey, Jean-Daniel Fekete, Tanja Blascheck, Petra Isenberg:
Visualizing and Analyzing Entity Activity on the Bitcoin Network. - Rémi Abgrall, Jan Nordström, Philipp Öffner, Svetlana V. Tokareva:
Analysis of the SBP-SAT Stabilization for Finite Element Methods Part I: Linear problems. - Beatriz Soret, Israel Leyva-Mayorga, Maik Röper, Dirk Wübben, Bho Matthiesen, Armin Dekorsy, Petar Popovski:
LEO Small-Satellite Constellations for 5G and Beyond-5G Communications. - Geunseob Oh, Jean-Sebastien Valois:
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting. - Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears:
Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies. - Mariah Schrum, Matthew C. Gombolay:
When Your Robot Breaks: Active Learning During Plant Failure. - Muhammad Amjad, Leila Musavian, Sonia Aïssa:
NOMA versus OMA in Finite Blocklength Regime: Link-Layer Rate Performance. - Luca Manneschi, Andrew C. Lin, Eleni Vasilaki:
SpaRCe: Sparse reservoir computing. - Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Direction Concentration Learning: Enhancing Congruency in Machine Learning. - Zenon Gniazdowski, Maciej Boniecki:
Detection of a Source Code Plagiarism in a Student Programming Competition. - Yashaswi Verma:
An Embarrassingly Simple Baseline for eXtreme Multi-label Prediction. - Lukas Fleischer, Samin Riasat, Jeffrey O. Shallit:
New Bounds on Antipowers in Binary Words. - A. Braunegg, Amartya Chakraborty, Michael Krumdick, Nicole Lape, Sara Leary, Keith Manville, Elizabeth M. Merkhofer, Laura Strickhart, Matthew Walmer:
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection. - Yifan Chen, Thomas Y. Hou:
The subsampled Poincar\' e inequality for functional recovery. - Elizabeth Qian, Boris Kramer, Benjamin Peherstorfer, Karen Willcox:
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems. - Przemyslaw A. Grabowicz, Kenta Takatsu, Luis F. Lafuerza:
Supervised learning algorithms resilient to discriminatory data perturbations. - Shakir A. Almasaari:
Securing Big Data systems, A cybersecurity management discussion. - Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick:
PointRend: Image Segmentation as Rendering. - Luca Weihs, Aniruddha Kembhavi, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi:
Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game. - Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha:
Lightweight and Robust Representation of Economic Scales from Satellite Imagery. - Alexander L. Hayes:
srlearn: A Python Library for Gradient-Boosted Statistical Relational Models. - Johnny Moughames, Xavier Porte, Michael Thiel, Gwenn Ulliac, Maxime Jacquot, Laurent Larger, Muamer Kadic, Daniel Brunner:
Three dimensional waveguide-interconnects for scalable integration of photonic neural networks. - Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, Rita Cucchiara:
M2: Meshed-Memory Transformer for Image Captioning. - Tarang Chugh, Anil K. Jain:
Fingerprint Spoof Detection: Temporal Analysis of Image Sequence. - Milad Siami, Amir Ajorlou, Ali Jadbabaie:
Competitive Contagion with Sparse Seeding. - Julia Belyakova:
Decidable Tag-Based Semantic Subtyping for Nominal Types, Tuples, and Unions. - Thomas Mueller Graf, Daniel Lemire:
Xor Filters: Faster and Smaller Than Bloom and Cuckoo Filters. - Sarkhan Badirli, Mary Borgo Ton, Abdulmecit Gungor, Murat Dundar:
Open Set Authorship Attribution toward Demystifying Victorian Periodicals. - Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler:
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. - Jiteng Mu, Weichao Qiu, Gregory D. Hager, Alan L. Yuille:
Learning from Synthetic Animals. - Roy S. Smith, Bassam Bamieh:
Stochasticity in Feedback Loops; Great Expectations and Guaranteed Ruin. - Igor Furtat:
Feedback Control of Dynamical Systems with Given Restrictions on Output Signal. - Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
A Probabilistic approach for Learning Embeddings without Supervision. - Richard Lassaigne, Michel de Rougemont:
Testing Membership for Timed Automata. - Tom Gustafsson, Rolf Stenberg, Juha H. Videman:
Nitsche's Master-Slave Method for Elastic Contact Problems. - Kimmo Kärkkäinen, Mohammad Kachuee, Orpaz Goldstein, Majid Sarrafzadeh:
Cost-Sensitive Feature-Value Acquisition Using Feature Relevance. - Yi Zhou, Xiaoqing Zheng, Xuanjing Huang:
Chinese Named Entity Recognition Augmented with Lexicon Memory. - Dmitry Utyamishev, Inna Partin-Vaisband:
Progressive VAE Training on Highly Sparse and Imbalanced Data. - Brady Neal:
On the Bias-Variance Tradeoff: Textbooks Need an Update. - Jefferson A. Peña Torres, Raul Ernesto Gutierrez, Víctor A. Bucheli, Fabio Augusto González Osorio:
The performance evaluation of Multi-representation in the Deep Learning models for Relation Extraction Task. - Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, Ali Zare:
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares. - Sang-Goo Jeong, Margaret M. Coad, Laura H. Blumenschein, Ming Luo, Usman Mehmood, Ji Hun Kim, Allison M. Okamura, Jee-Hwan Ryu:
A Tip Mount for Carrying Payloads using Soft Growing Robots. - Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu:
Multi-Channel Graph Convolutional Networks. - Benjamin Guedj, Bhargav Srinivasa Desikan:
Kernel-Based Ensemble Learning in Python. - Ranesh Kumar Naha, Saurabh Kumar Garg:
Multi-Criteria-based Dynamic User Behaviour Aware Resource Allocation in Fog Computing. - R. Stuart Geiger, Kevin Yu, Yanlai Yang, Mindy Dai, Jie Qiu, Rebekah Tang, Jenny Huang:
Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From? - Lu Chen, Chengfei Liu, Rui Zhou, Jiajie Xu, Jianxin Li:
Finding Effective Geo-Social Group for Impromptu Activity with Multiple Demands. - Tianhong Dai, Kai Arulkumaran, Samyakh Tukra, Feryal M. P. Behbahani, Anil Anthony Bharath:
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation. - Francisco Fuica, Felipe Lepe, Enrique Otárola, Daniel Quero:
A posteriori error estimates in W1, p × Lp spaces for the Stokes system with Dirac measures. - Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu:
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. - Andrés R. Masegosa:
Learning from i.i.d. data under model miss-specification. - Shuai Zhang, Bo Yin, Yu Cheng:
Topology Aware Deep Learning for Wireless Network Optimization. - Hugh L. Kennedy:
Improving the frequency response of Savitzky-Golay filters via colored-noise models. - Witold Litwin:
Manifesto for Improved Foundations of Relational Model. - Alireza Abdoli:
Design Flow of Digital Microfluidic Biochips Towards Improving Fault-Tolerance. - Fengyi Cheng, Aijun Liu, Jincheng Dai, Kai Niu, Xiaohu Liang:
Enumeration of Minimum Hamming Weight Polar Codewords with Sublinear Complexity. - Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou:
DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog. - Nauman Sohani, Geunseob Oh, Xinpeng Wang:
A Data-driven, Falsification-based Model of Human Driver Behavior. - Zhenhua Chen, Xiwen Li, Chuhua Wang, David J. Crandall:
P-CapsNets: a General Form of Convolutional Neural Networks. - Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia:
Real-Time Prediction of Delay Distribution in Service Systems using Mixture Density Networks. - Yuxiang Ren, Lin Meng, Jiawei Zhang:
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. - Somak Aditya, Atanu Sinha:
Uncovering Relations for Marketing Knowledge Representation. - Heng Xu, Michael A. Peshkin, J. Edward Colgate:
How the Mechanical Properties and Thickness of Glass Affect TPaD Performance. - Heng Xu, Roberta L. Klatzky, Michael A. Peshkin, J. Edward Colgate:
A Promising Method for Touch-typing Keyboard Rendering. - Bhavan Vasu, Chengjiang Long:
Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations. - Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan:
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours. - Rémi Abgrall, Jan Nordström, Philipp Öffner, Svetlana V. Tokareva:
Analysis of the SBP-SAT Stabilization for Finite Element Methods Part II: Entropy Stability. - Mutaz Barika, Saurabh Garg, Andrew Chan, Rodrigo N. Calheiros:
Scheduling Algorithms for Efficient Execution of Stream Workflow Applications in Multicloud Environments. - Jia Li, Jinming Su, Changqun Xia, Yonghong Tian:
Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss. - Andreas W. Kempa-Liehr, Jonty Oram, Andrew Wong, Mark Finch, Thor F. Besier:
Feature engineering workflow for activity recognition from synchronized inertial measurement units. - Da Chen, Feng Mao, Mingli Song, Yuan He, Xiang Wu, Jinqiao Wang, Wenbin Li, Yongliang Yang, Hui Xue:
Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift. - Mutaz Barika, Saurabh Garg, Rajiv Ranjan:
Adaptive Scheduling for Efficient Execution of Dynamic Stream Workflows. - Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin:
Collective Embedding-based Entity Alignment via Adaptive Features. - Michael Herty, Giuseppe Visconti:
Continuous Limits for Constrained Ensemble Kalman Filter. - Burc Gokden:
CoulGAT: An Experiment on Interpretability of Graph Attention Networks. - Yang Guan, Yangang Ren, Shengbo Eben Li, Qi Sun, Laiquan Luo, Koji Taguchi, Keqiang Li:
Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization. - Alexander Kurz, M. Andrew Moshier, Achim Jung:
Stone Duality for Relations. - Shuang Zhang, Liyao Xiang, Congcong Li, Yixuan Wang, Zeyu Liu, Quanshi Zhang, Bo Li:
Preventing Information Leakage with Neural Architecture Search. - Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang:
Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation. - Saroj Khanal, Vahid R. Disfani:
Reduced Switching-Frequency Modulation Design for Model Predictive Control Based Modular Multilevel Converters. - Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh:
Self-Attention Network for Skeleton-based Human Action Recognition. - Saroj Khanal, Vahid R. Disfani:
A Novel Optimal Modulation Strategy for Modular Multilevel Converter Based HVDC Systems. - Lei Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Multi-channel Reverse Dictionary Model. - Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang:
MALA: Cross-Domain Dialogue Generation with Action Learning. - Lionel Blondé, Yichuan Charlie Tang, Jian Zhang, Russ Webb:
Relational Mimic for Visual Adversarial Imitation Learning. - Leonid Zeynalvand, Tie Luo, Jie Zhang:
COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment. - Tahsin Reza, Hassan Halawa, Matei Ripeanu, Geoffrey Sanders, Roger Pearce:
Scalable Pattern Matching in Metadata Graphs via Constraint Checking. - Yaxing Chen, Qinghua Zheng, Dan Liu, Zheng Yan, Wenhai Sun, Ning Zhang, Wenjing Lou, Y. Thomas Hou:
Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data. - Shenren Xu:
Simplified Eigenvalue Analysis for Turbomachinery Aerodynamics with Cyclic Symmetry. - Jan Ciesko, Pedro J. Martínez-Ferrer, Raúl Peñacoba Veigas, Xavier Teruel, Vicenç Beltran:
HDOT - an Approach Towards Productive Programming of Hybrid Applications. - Vincenzo Matta, Augusto Santos, Ali H. Sayed:
Inverse Graph Learning over Optimization Networks. - Falko Koetter, Matthias Blohm, Jens Drawehn, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner:
Conversational Agents for Insurance Companies: From Theory to Practice. - Manuel Bodirsky, Simon Knäuer:
Hardness of Network Satisfaction for Relation Algebras with Normal Representations. - Michael Kern, Christoph Neuhauser, Torben Maack, Mengjiao Han, William Usher, Rüdiger Westermann:
A Comparison of Rendering Techniques for Large 3D Line Sets with Transparency. - Georg Krispel, Michael Opitz, Georg Waltner, Horst Possegger, Horst Bischof:
FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data. - Kushal Chawla, Hrituraj Singh, Arijit Pramanik, Mithlesh Kumar, Balaji Vasan Srinivasan:
Generating summaries tailored to target characteristics. - Sameen Maruf, Fahimeh Saleh, Gholamreza Haffari:
A Survey on Document-level Machine Translation: Methods and Evaluation. - Yatao An Bian:
Provable Non-Convex Optimization and Algorithm Validation via Submodularity. - Erik Burman, Miguel A. Fernández, Stefan Frei, Fannie M. Gerosa:
3D-2D Stokes-Darcy coupling for the modelling of seepage with an application to fluid-structure interaction with contact. - Yuchao Li, Karl Henrik Johansson, Jonas Mårtensson:
Lambda-Policy Iteration with Randomization for Contractive Models with Infinite Policies: Well-Posedness and Convergence (Extended Version). - Haibo Li:
A rounding error analysis of the joint bidiagonalization process with applications to the GSVD computation. - Patrick E. Farrell, Matthew G. Knepley, Florian Wechsung, Lawrence Mitchell:
PCPATCH: software for the topological construction of multigrid relaxation methods. - Tetiana Parshakova, Jean-Marc Andreoli, Marc Dymetman:
Distributional Reinforcement Learning for Energy-Based Sequential Models. - Ian N. Zwaan:
Cross product-free matrix pencils for computing generalized singular values. - Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Venkat Rangan, Chetan Singh Thakur:
Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware. - Seok-Hwan Park, Osvaldo Simeone, Shlomo Shamai:
Robust Baseband Compression Against Congestion in Packet-Based Fronthaul Networks Using Multiple Description Coding. - Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould:
Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior. - Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour:
Privacy of Real-Time Pricing in Smart Grid. - Andrea Hamm, Alexander Willner, Ina Schieferdecker:
Edge Computing: A Comprehensive Survey of Current Initiatives and a Roadmap for a Sustainable Edge Computing Development. - Lianghua Huang, Xin Zhao, Kaiqi Huang:
GlobalTrack: A Simple and Strong Baseline for Long-term Tracking. - Inug Yoon, Ue-Hwan Kim, Jong-Hwan Kim:
s-DRN: Stabilized Developmental Resonance Network. - Jinzhi Lu, Xiaochen Zheng, Ali Gharaei, Kostas Kalaboukas, Dimitris Kiritsis:
Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems. - Gustavo Penha, Claudia Hauff:
Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking. - Christian Eichner, Heidrun Schumann, Christian Tominski:
Multi-display Visual Analysis: Model, Interface, and Layout Computation. - Xiangnan Feng, Wei Wei, Jiannan Wang, Xue Liu, Zhiming Zheng:
Hierarchical Decomposition Mechanism by König-Egérvary Layer-Subgraph with Application on Vertex-Cover. - Jiadong Liang, Wenjie Pei, Feng Lu:
CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis. - Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha, Mathieu Salzmann, Pascal Fua:
ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture. - Abele Simona, Luca Bonaventura, Carlo de Falco, Sebastian Schöps:
IsoGeometric Approximations for Electromagnetic Problems in Axisymmetric Domains. - Katharina Bogad, Manuel Huber:
Harzer Roller: Linker-Based Instrumentation for Enhanced Embedded Security Testing. - Aiqing Fang, Xinbo Zhao, Yanning Zhang:
A Cross-Modal Image Fusion Theory Guided by Human Visual Characteristics. - Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San:
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. - Nataliya Sira, Giorgio Maria Di Nunzio, Viviana Nosilia:
Towards an automatic recognition of mixed languages: The Ukrainian-Russian hybrid language Surzhyk. - Kushagra Singh, Gurshabad Grover, Varun Bansal:
How India Censors the Web. - Zhaozhong Chen, Nisar R. Ahmed, Simon Julier, Christoffer Heckman:
Kalman Filter Tuning with Bayesian Optimization. - Wei-Chang Yeh:
A New Method for Verifying d-MC Candidates. - Tim Ziemer, Nuttawut Nuchprayoon, Holger Schultheis:
Psychoacoustic Sonification as User Interface for Human-Machine Interaction. - Claudio Moraga, Milena Stankovic, Radomir S. Stankovic:
Generalized Permutations and Ternary Bent Functions. - Anton Akusok, Emil Eirola:
Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation. - Philip K. Kristensen, Emilio Martínez-Pañeda:
Phase field fracture modelling using quasi-Newton methods and a new adaptive step scheme. - Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, Georgios Paliouras:
Semantic integration of disease-specific knowledge. - Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse:
Incremental ELMVIS for unsupervised learning. - Pingchuan Ma, Stavros Petridis, Maja Pantic:
Detecting Adversarial Attacks On Audio-Visual Speech Recognition. - Hongyu Liu, Bin Jiang, Wei Huang, Chao Yang:
One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block. - Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok:
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning. - Vincent A. Traag:
Inferring the causal effect of journals on citations. - Shengkai Zhang, Wei Wang, Ning Zhang, Tao Jiang:
RF Backscatter-based State Estimation for Micro Aerial Vehicles. - Tian-Rui Liu, Wenhan Luo, Lin Ma, Jun-Jie Huang, Tania Stathaki, Tianhong Dai:
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling. - Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov:
Hierarchical Deep Q-Network with Forgetting from Imperfect Demonstrations in Minecraft. - Mikkel Abrahamsen, Tillmann Miltzow:
Dynamic Toolbox for ETRINV. - Andrew Collins, Joeran Beel:
Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems. - Fuxi Wen, Josef Kulmer, Klaus Witrisal, Henk Wymeersch:
5G Positioning and Mapping with Diffuse Multipath. - Lauri Hella, Miikka Vilander:
Formula size games for modal logic and μ-calculus. - Fan Zhang, Miao Hu:
Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional Neural Networks. - Fengjiao Li, Yu Sang, Zhongdong Liu, Bin Li, Huasen Wu, Bo Ji:
Waiting but not Aging: Age-of-Information and Utility Optimization Under the Pull Model. - Xiaobin Liu, Dazhi Zhang, Xiong Meng, Boying Wu:
Superconvergence of local discontinuous Galerkin methods with generalized alternating fluxes for 1D linear convection-diffusion equations. - Márcio Ferreira Moreno, Daniel Civitarese, Rafael Brandão, Renato Cerqueira:
Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation. - Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Towards Robust Learning with Different Label Noise Distributions. - Soroosh Khoram, Stephen J. Wright, Jing Li:
Interleaved Composite Quantization for High-Dimensional Similarity Search. - Fabienne Christen, Byungsoo Kim, Vinicius C. Azevedo, Barbara Solenthaler:
Neural Smoke Stylization with Color Transfer. - Varun Nair, Javier Fuentes Alonso, Tony Beltramelli:
RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms. - Pradeeban Kathiravelu, Yusuf Nadir Saghar, Tushar Aggarwal, Ashish Sharma:
Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources. - Luca Furieri, Yang Zheng, Maryam Kamgarpour:
Learning the Globally Optimal Distributed LQ Regulator. - Simon Biland, Vinicius C. Azevedo, Byungsoo Kim, Barbara Solenthaler:
Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks. - Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu:
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization. - Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik, Jesus L. Lobo, Javier Del Ser:
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks. - Thomas Bartz-Beielstein:
Why we need an AI-resilient society. - Lesly-Ann Daniel, Sébastien Bardin, Tamara Rezk:
Binsec/Rel: Efficient Relational Symbolic Execution for Constant-Time at Binary-Level. - Soroosh Khoram, Jing Li:
TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis. - Hongxu Yin, Pavlo Molchanov, Zhizhong Li, José M. Álvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. - Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson:
SynSin: End-to-end View Synthesis from a Single Image. - Jess Banks, Jorge Garza-Vargas, Archit Kulkarni, Nikhil Srivastava:
Pseudospectral Shattering, the Sign Function, and Diagonalization in Nearly Matrix Multiplication Time. - Artem Lutov, Dingqi Yang, Philippe Cudré-Mauroux:
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection. - Joy Bose:
Field Label Prediction for Autofill in Web Browsers. - Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler:
Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming. - Frederico Guth, Teófilo Emídio de Campos:
Research Frontiers in Transfer Learning - a systematic and bibliometric review. - Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner:
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language. - Danfeng Hong, Jocelyn Chanussot, Naoto Yokoya, Jian Kang, Xiao Xiang Zhu:
Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data. - Emmanuel Tuyishimire, Antoine B. Bagula, Slim Rekhis, Noureddine Boudriga:
Real-time data muling using a team of heterogeneous unmanned aerial vehicles. - Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiao Xiang Zhu:
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification. - Ziyun Wang, Volkan Isler, Daniel D. Lee:
Surface HOF: Surface Reconstruction from a Single Image Using Higher Order Function Networks. - Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon:
Simulating Content Consistent Vehicle Datasets with Attribute Descent. - Emmanuel Kahembwe, Subramanian Ramamoorthy:
Lower Dimensional Kernels for Video Discriminators. - Bianca Minetto Napoleão, Kátia Romero Felizardo, Érica Ferreira de Souza, Fábio Petrillo, Nandamudi L. Vijaykumar, Elisa Yumi Nakagawa, Sylvain Hallé:
Establishing a Search String to Detect Secondary Studies in Software Engineering. - Zetong Qi, T. J. Wilder:
Adversarial VC-dimension and Sample Complexity of Neural Networks. - James Harrison, Apoorva Sharma, Chelsea Finn, Marco Pavone:
Continuous Meta-Learning without Tasks. - Rashid Mehdiyev, Jean Nava, Karan Sodhi, Saurav Acharya, Annie Ibrahim Rana:
Topic subject creation using unsupervised learning for topic modeling. - Ali Ghofrani, Rahil Mahdian Toroghi, Seyed Mojtaba Tabatabaie:
Attention-Based Face AntiSpoofing of RGB Images, using a Minimal End-2-End Neural Network. - Mehrdad Moharrami, Cristopher Moore, Jiaming Xu:
The Planted Matching Problem: Phase Transitions and Exact Results. - Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning. - Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele:
Adaptive Loss-aware Quantization for Multi-bit Networks. - Sebastian J. Schlecht, Emanuël A. P. Habets:
Scattering in Feedback Delay Networks. - Kevin R. Green, G. W. Patrick, Raymond J. Spiteri:
On theoretical upper limits for valid timesteps of implicit ODE methods. - Hamed Zamani, Nick Craswell:
Macaw: An Extensible Conversational Information Seeking Platform. - Prithvijit Chakrabarty, Subhransu Maji:
The Spectral Bias of the Deep Image Prior. - Keith Andrew, Eric Steinfelds, Karla M. Andrew, Kay Opalenik:
Subgraph Classification, Clustering and Centrality for a Degree Asymmetric Twitter Based Graph Case Study: Suicidality. - Nutta Homdee, Mehdi Boukhechba, Yixue Wendy Feng, Natalie Kramer, John C. Lach, Laura E. Barnes:
Enabling Smartphone-based Estimation of Heart Rate. - J. Christian Attiogbé, Jérôme Rocheteau:
Architectural Invariants and Correctness of IoT-based Systems. - Robin Lynne Belton, Brittany Terese Fasy, Rostik Mertz, Samuel Micka, David L. Millman, Daniel Salinas, Anna Schenfisch, Jordan Schupbach, Lucia Williams:
Reconstructing Embedded Graphs from Persistence Diagrams. - István Ketykó, Ferenc Kovács:
On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture Recognition. - Robert L. Bray:
Does the Multisecretary Problem Always Have Bounded Regret? - Michael Mbouopda, Engelbert Mephu Nguifo:
Classification des S{é}ries Temporelles Incertaines par Transformation Shapelet. - Sakshi Udeshi, Xingbin Jiang, Sudipta Chattopadhyay:
Callisto: Entropy based test generation and data quality assessment for Machine Learning Systems. - Diego Pinheiro, Ryan Hartman, Erick Romero, Ronaldo Menezes, Martin Cadeiras:
Network-Based Delineation of Health Service Areas: A Comparative Analysis of Community Detection Algorithms. - Nuno Moniz:
Real-time 2019 Portuguese Parliament Election Results Dataset. - Fei Ma, Xiaomin Wang, Ping Wang, Xudong Luo:
Dense graphs with scale-free feature. - Anthony Bonato, Daniel W. Cranston, Melissa A. Huggan, Trent G. Marbach, Raja Mutharasan:
The Iterated Local Directed Transitivity Model for Social Networks. - Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. - Sardar Hamidian, Mona T. Diab:
Rumor Detection and Classification for Twitter Data. - Peiyuan Sun:
Hyperbolic Multiplex Network Embedding with Maps of Random Walk. - Angelo Antonio Salatino:
Early Detection of Research Trends. - Sînziana-Maria Sebe, Jörg P. Müller:
PFaRA: a Platoon Forming and Routing Algorithm for Same-Day Deliveries. - Tamara Dimitrova, Kristijan Petrovski, Ljupco Kocarev:
Graphlets in Multiplex Networks. - Sara Masoud, Young-Jun Son, Neda Masoud, Jay Jayakrishnan:
Impact of Traffic Conditions and Carpool Lane Availability on Peer to Peer Ridesharing Demand. - Rafael Glauber, Angelo C. Loula:
Collaborative Filtering vs. Content-Based Filtering: differences and similarities. - Mohammad Reza Zarei, Mohammad R. Moosavi:
An Adaptive Similarity Measure to Tune Trust Influence in Memory-Based Collaborative Filtering. - Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand:
One-Shot Weakly Supervised Video Object Segmentation. - Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood:
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. - Luís Moniz Pereira, Francisco C. Santos:
Counterfactual thinking in cooperation dynamics. - Dapeng Feng, Kuai Fang, Chaopeng Shen:
Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales. - Maciej Besta, Simon Weber, Lukas Gianinazzi, Robert Gerstenberger, Andrey Ivanov, Yishai Oltchik, Torsten Hoefler:
Slim Graph: Practical Lossy Graph Compression for Approximate Graph Processing, Storage, and Analytics. - Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer:
The power of synergy in differential privacy: Combining a small curator with local randomizers. - Xiaodan Shao, Xiaoming Chen, Rundong Jia:
A Dimension Reduction-Based Joint Activity Detection and Channel Estimation Algorithm for Massive Access. - Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin:
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. - Jakob Bossek, Pascal Kerschke, Aneta Neumann, Frank Neumann, Carola Doerr:
One-Shot Decision-Making with and without Surrogates. - Ruoyu Sun:
Optimization for deep learning: theory and algorithms. - Huiyuan Xie, Tom Sherborne, Alexander Kuhnle, Ann A. Copestake:
Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity. - Shahar Avin, Ross Gruetzemacher, James Fox:
Exploring AI Futures Through Role Play. - Rachid Echahed, Detlef Plump:
Proceedings Tenth International Workshop on Graph Computation Models, GCM@STAF 2019, Eindhoven, The Netherlands, 17th July 2019. EPTCS 309, 2019 [contents] - Yen-Liang Lin, Son Dinh Tran, Larry S. Davis:
Fashion Outfit Complementary Item Retrieval. - Maciej Besta, Torsten Hoefler:
Slim Fly: A Cost Effective Low-Diameter Network Topology. - Anthony Hu, Alex Kendall, Roberto Cipolla:
Learning a Spatio-Temporal Embedding for Video Instance Segmentation. - Eric C. Cyr, Stefanie Günther, Jacob B. Schroder:
Multilevel Initialization for Layer-Parallel Deep Neural Network Training. - Dong Zhang, Shu Zhao, Zhen Duan, Jie Chen, Yangping Zhang, Jie Tang:
A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation. - Hoang-Quoc Nguyen-Son, Tran Phuong Thao, Seira Hidano, Shinsaku Kiyomoto:
Identifying Adversarial Sentences by Analyzing Text Complexity. - Nicholas Roberts, Dian Ang Yap, Vinay Uday Prabhu:
Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks. - Nicholas Roberts, Vinay Uday Prabhu, Matthew McAteer:
Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker. - Joël Seytre, Jon Wu, Alessandro Achille:
TextTubes for Detecting Curved Text in the Wild. - Hsin-Po Wang, Iwan M. Duursma:
Polar Codes' Simplicity, Random Codes' Durability. - Masahiro Kazama, Yoshihiko Suhara, Andrey Bogomolov, Alex 'Sandy' Pentland:
Understanding Human Judgments of Causality. - Susan Jia Xu, Joseph Y. J. Chow:
Online route choice modeling for Mobility-as-a-Service networks with non-separable, congestible link capacity effects. - Pedro Sequeira, Melinda T. Gervasio:
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations. - Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu:
Discriminative Sentence Modeling for Story Ending Prediction. - Ravdeep Pasricha, Ekta Gujral, Evangelos E. Papalexakis:
Adaptive Granularity in Tensors: A Quest for Interpretable Structure. - Dongmyung Shin, Sooyeon Ji, Doo-Hee Lee, Jieun Lee, Se-Hong Oh, Jongho Lee:
Deep Reinforcement Learning Designed RF Pulse: DeepRFSLR. - Xu Du, Alexander Engelmann, Yuning Jiang, Timm Faulwasser, Boris Houska:
Optimal Experiment Design for AC Power Systems Admittance Estimation. - Cheng Tan, Changgeng Zhao, Shuai Mu, Michael Walfish:
Detecting Incorrect Behavior of Cloud Databases as an Outsider. - Bikash Chandra, Ananyo Banerjee, Udbhas Hazra, Mathew Joseph, S. Sudarshan:
Edit Based Grading of SQL Queries. - Dhiman Chowdhury, Mrinmoy Sarkar:
Digital Controllers in Discrete and Continuous Time Domains for a Robot Arm Manipulator. - Chiat-Pin Tay, Sharmili Roy, Kim-Hui Yap:
AANet: Attribute Attention Network for Person Re-Identifications. - Akito Suzuki, Ryoichi Kawahara, Masahiro Kobayashi, Shigeaki Harada, Yousuke Takahashi, Keisuke Ishibashi:
Extendable NFV-Integrated Control Method Using Reinforcement Learning. - Andreas Holzinger, André M. Carrington, Heimo Müller:
Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations. - Hang Liu, Xiaojun Yuan, Ying Jun Zhang:
Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO. - Kelum Gajamannage, Randy C. Paffenroth:
Bounded Manifold Completion. - Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang:
Scale-wise Convolution for Image Restoration. - Zhongjie Yu, Lin Chen, Zhongwei Cheng, Jiebo Luo:
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning. - Xiaojuan Dong, Weiming Zhang, Mohsin Shah, Bei Wang, Nenghai Yu:
A Restrained Paillier Cryptosystem and Its Applications for Access Control of Common Secret. - Zichen Zhang, Qingfeng Lan, Lei Ding, Yue Wang, Negar Hassanpour, Russell Greiner:
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation. - Jeonghyeon Jang, Hoon Lee, Sangwon Hwang, Haibao Ren, Inkyu Lee:
Deep Learning-based Limited Feedback Designs for MIMO Systems. - Benjamin A. Burton, Alexander He:
On the hardness of finding normal surfaces. - Tobias A. Wiesner, Matthias Mayr, Alexander Popp, Michael W. Gee, Wolfgang A. Wall:
Algebraic multigrid methods for saddle point systems arising from mortar contact formulations. - Frederik Hagelskjær, Anders Glent Buch:
PointPoseNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds. - Mahmood Sharif, Lujo Bauer, Michael K. Reiter:
n-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers. - Mahmood Sharif, Keane Lucas, Lujo Bauer, Michael K. Reiter, Saurabh Shintre:
Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection. - Lodovica Marchesi, Michele Marchesi, Roberto Tonelli:
ABCDE - Agile Block Chain Dapp Engineering. - Maik Gentsch, Rudibert King:
Real-Time Estimation of a Multi-Stage Centrifugal Compressor Performance Map Considering Real-Gas Processes and Flexible Operation. - Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse:
Spiking Networks for Improved Cognitive Abilities of Edge Computing Devices. - Jiali Zeng, Linfeng Song, Jinsong Su, Jun Xie, Wei Song, Jiebo Luo:
Neural Simile Recognition with Cyclic Multitask Learning and Local Attention. - Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Amaury Lendasse:
Extreme Learning Tree. - Ben Blamey, Ida-Maria Sintorn, Andreas Hellander, Salman Toor:
Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy. - Ivan Yu. Mogilnykh, Faina I. Solov'eva:
On existence of perfect bitrades in Hamming graphs. - Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse:
Per-sample Prediction Intervals for Extreme Learning Machines. - Jian Peng, Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, Haifeng Li:
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation. - Simon Schleiter, Okyay Altay:
Identification of abrupt stiffness changes of structures with tuned mass dampers under sudden events. - Anton Akusok, Mirka Saarela, Tommi Kärkkäinen, Kaj-Mikael Björk, Amaury Lendasse:
Mislabel Detection of Finnish Publication Ranks. - Charles Noren, Changliu Liu:
Safe Adaptation Using Energy Functions. - Carlos Echeverría, Jörg Liesen, Petr Tichý:
Analysis of the multiplicative Schwarz method for matrices with a special block structure. - Haifeng Li, Kaijian Qiu, Li Chen, Xiaoming Mei, Liang Hong, Chao Tao:
SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images. - Yongmi Lee, Kwang Woo Nam, Keun Ho Ryu:
Fast Mining of Spatial Frequent Wordset from Social Database. - Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao:
Mean field theory for deep dropout networks: digging up gradient backpropagation deeply. - Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. - Eyal Shulman, Lior Wolf:
Meta Decision Trees for Explainable Recommendation Systems. - Davide De Tommaso, Agnieszka Wykowska:
TobiiGlassesPySuite: An open-source suite for using the Tobii Pro Glasses 2 in eye-tracking studies. - Ernst Althaus, Sarah Ziegler:
Optimal Tree Decompositions Revisited: A Simpler Linear-Time FPT Algorithm. - Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang:
Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection. - Keita Ishizuka, Takashi Nose:
Developing a Multi-Platform Speech Recording System Toward Open Service of Building Large-Scale Speech Corpora. - Zhiying Xu, Shuyu Shi, Alex X. Liu, Jun Zhao, Lin Chen:
An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning. - Fernando Sánchez León, Ana González-Ledesma:
Annotating and normalizing biomedical NEs with limited knowledge. - Xingyi Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui, Dayong Wu, Shijin Wang, Ting Liu, Tianxiang Huo, Zhen Hu, Heng Wang, Zhiyuan Liu:
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension. - Markus Faustmann, Jens Markus Melenk, Maryam Parvizi:
On the stability of Scott-Zhang type operators and application to multilevel preconditioning in fractional diffusion. - Martino Borello, Wolfgang Willems:
On the algebraic structure of quasi group codes. - Bertrand Simon, Joachim Falk, Nicole Megow, Jürgen Teich:
Energy Minimization in DAG Scheduling on MPSoCs at Run-Time: Theory and Practice. - Louisa Schlachter, Florian Schneider, Oliver Kolb:
Weighted Essentially Non-Oscillatory stochastic Galerkin approximation for hyperbolic conservation laws. - Ali Aburas:
Comprehensive review for common types of errors using spreadsheets. - Carlo Michele Valensise, Matteo Cinelli, Alessandro Galeazzi, Walter Quattrociocchi:
Drifts and Shifts: Characterizing the Evolution of Users Interests on Reddit. - Jorge Fandinno, Johannes Klaus Fichte:
Proceedings of the twelfth Workshop on Answer Set Programming and Other Computing Paradigms 2019. - Bodhiswatta Chatterjee, Charalambos Poullis:
Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks. - Markus Levonyak, Christina Pacher, Wilfried N. Gansterer:
Scalable Resilience Against Node Failures for Communication-Hiding Preconditioned Conjugate Gradient and Conjugate Residual Methods. - Yang Liu, Xu Tang, Xiang Wu, Junyu Han, Jingtuo Liu, Errui Ding:
HAMBox: Delving into Online High-quality Anchors Mining for Detecting Outer Faces. - Tianyu Zhang, Lei Zhu, Qian Zhao, Kilho Shin:
Neural Networks Weights Quantization: Target None-retraining Ternary (TNT). - Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck:
Benchmarking Discrete Optimization Heuristics with IOHprofiler. - Jonas Kusch, Jannick Wolters, Martin Frank:
Intrusive acceleration strategies for Uncertainty Quantification for hyperbolic systems of conservation laws. - Nantheera Anantrasirichai, Sion L. Hannuna, Nishan Canagarajah:
Towards automated mobile-phone-based plant pathology management. - Tony Lelièvre, Frédéric Legoll, Keith W. Myerscough, Giovanni Samaey:
Parareal computation of stochastic differential equations with time-scale separation: a numerical study. - Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo:
Towards a Philological Metric through a Topological Data Analysis Approach. - Jeroen Zegers, Hugo Van hamme:
CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization. - Alexandru Uta, Alexandru Custura, Dmitry Duplyakin, Ivo Jimenez, Jan S. Rellermeyer, Carlos Maltzahn, Robert Ricci, Alexandru Iosup:
Is Big Data Performance Reproducible in Modern Cloud Networks? - Nick Rossenbach, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems. - Leonid Butyrev, Thorsten Edelhäußer, Christopher Mutschler:
Deep Reinforcement Learning for Motion Planning of Mobile Robots. - Pieter Appeltans, Jeroen Zegers, Hugo Van hamme:
Practical applicability of deep neural networks for overlapping speaker separation. - Roy Karasik, Osvaldo Simeone, Shlomo Shamai:
Information-Theoretic Analysis of D2D-Aided Pipelined Content Delivery in Fog-RAN. - Zhengguang Liu, Xiaoli Li:
The exponential scalar auxiliary variable (E-SAV) approach for phase field models and its explicit computing. - Yang Li, Hongbo Li:
Improved quantum algorithm for the random subset sum problem. - Shaohuai Shi, Xiaowen Chu, Bo Li:
MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning. - Maria Han Veiga, Rémi Abgrall:
Neural network based limiter with transfer learning. - Marcus Edwards, Atefeh Mashatan, Shohini Ghose:
A Review of Quantum and Hybrid Quantum / Classical Blockchain Protocols. - Adnan Ashraf, Amin Majd, Elena Troubitsyna:
Online Path Generation and Navigation for Swarms of UAVs. - Yue Ma, Zengfeng Zeng, Dawei Zhu, Xuan Li, Yiying Yang, Xiaoyuan Yao, Kaijie Zhou, Jianping Shen:
An End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification. - Manuel Bodirsky, Marcello Mamino, Caterina Viola:
Piecewise Linear Valued CSPs Solvable by Linear Programming Relaxation. - Zheng Li, Caili Guo:
Multi-Agent Deep Reinforcement Learning based Spectrum Allocation for D2D Underlay Communications. - Simon Msika, Alejandro Quintero, Foutse Khomh:
SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks. - Bálint Daróczy, Rita Aleksziev, András Benczúr:
Tangent Space Separability in Feedforward Neural Networks. - Peiyu Yu, Yongming Rao, Jiwen Lu, Jie Zhou:
P2GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation. - A. J. Alvero, Noah Arthurs, Anthony Lising Antonio, Benjamin W. Domingue, Ben Gebre-Medhin, Sonia Giebel, Mitchell L. Stevens:
AI and Holistic Review: Informing Human Reading in College Admissions. - Miroslav Kuchta:
Assembly of multiscale linear PDE operators. - Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez:
PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI. - Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach:
Normalizing flows for deep anomaly detection. - Markus L. Schmid:
Conjunctive Regular Path Queries with String Variables. - Nilavra Bhattacharya, Danna Gurari:
VizWiz Dataset Browser: A Tool for Visualizing Machine Learning Datasets. - Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang, Philip H. S. Torr:
Learning Regional Attraction for Line Segment Detection. - Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Instance-wise Depth and Motion Learning from Monocular Videos. - Bram-Ernst Verhoef, Nathan Laubeuf, Stefan Cosemans, Peter Debacker, Ioannis A. Papistas, Arindam Mallik, Diederik Verkest:
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference. - Nicolas Isoart, Jean-Charles Régin:
Imposing edges in Minimum Spanning Tree. - Alexander Gepperth, Benedikt Pfülb:
Gradient-based training of Gaussian Mixture Models in High-Dimensional Spaces. - Ulysse Côté Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik J. Scheme, François Laviolette, Benoit Gosselin:
Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition. - Giancarlo Fissore, Aurélien Decelle, Cyril Furtlehner, Yufei Han:
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines. - Christian Ikenmeyer, Michael Walter:
Hyperpfaffians and Geometric Complexity Theory. - Marc Eder, Mykhailo Shvets, John Lim, Jan-Michael Frahm:
Tangent Images for Mitigating Spherical Distortion. - Luca Bertinetto, Romain Müller, Konstantinos Tertikas, Sina Samangooei, Nicholas A. Lord:
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks. - Julian G. Zilly, Lorenz Hetzel, Andrea Censi, Emilio Frazzoli:
Quantifying the effect of representations on task complexity. - Andrew Elliott, Stephen Law, Chris Russell:
Adversarial Perturbations on the Perceptual Ball. - André Coelho, Rui Campos, Manuel Ricardo:
Traffic-aware Gateway Placement for High-capacity Flying Networks. - Hsin-Ying Lee, Weilong Yang, Lu Jiang, Madison Le, Irfan Essa, Haifeng Gong, Ming-Hsuan Yang:
Neural Design Network: Graphic Layout Generation with Constraints. - Amir Zadeh, Smon Hessner, Yao Chong Lim, Louis-Philippe Morency:
Pseudo-Encoded Stochastic Variational Inference. - S. Mohammad Mirbagheri, Howard J. Hamilton:
FIBS: A Generic Framework for Classifying Interval-based Temporal Sequences. - Andrea Pinceti, Lalitha Sankar, Oliver Kosut:
Detection and Localization of Load Redistribution Attacks on Large Scale Systems. - Alex Olshevsky:
On A Relaxation of Time-Varying Actuator Placement. - Wei-Ting Chang, Ravi Tandon, Osvaldo Simeone:
Cache-Aided Content Delivery in Fog-RAN Systems with Topological Information and no CSI. - Srikrishna Varadarajan, Sonaal Kant, Muktabh Mayank Srivastava:
Benchmark for Generic Product Detection: A strong baseline for Dense Object Detection. - Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Shi Ye, Han Qin:
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. - Hannah Atmer, Kilian Rausch, Daniel McNally:
ODIN: Tamper-Resistant Round Trip Time Measurement for Distributed Systems. - Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao:
A Framework for Explainable Text Classification in Legal Document Review. - Alexandre Trudeau, Christopher M. Clark:
Multi-Robot Path Planning Via Genetic Programming. - Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. - Weisong Wen, Yiyang Zhou, Guohao Zhang, Saman Fahandezh-Saadi, Xiwei Bai, Wei Zhan, Masayoshi Tomizuka, Li-Ta Hsu:
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes. - Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan:
The Usage of Web Search for Software Engineering. - Siqi Liu, Milos Hauskrecht:
Contextual Outlier Detection in Continuous-Time Event Sequences. - David Rushing Dewhurst, Yi Li, Alexander Bogdan, Jasmine Geng:
Evolving ab initio trading strategies in heterogeneous environments. - Nirupam Gupta, Nitin H. Vaidya:
Randomized Reactive Redundancy for Byzantine Fault-Tolerance in Parallelized Learning. - Van Nhan Nguyen, Robert Jenssen, Davide Roverso:
LS-Net: Fast Single-Shot Line-Segment Detector. - Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations. - Igor G. Vladimirov, Ian R. Petersen:
Convergence to periodic regimes in nonlinear feedback systems with a strongly convex backlash. - Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer:
Data Science through the looking glass and what we found there. - S. Hamidreza Kasaei:
Interactive Open-Ended Learning for 3D Object Recognition. - Badri N. Patro, Vinay P. Namboodiri:
Deep Exemplar Networks for VQA and VQG. - Rene Pickhardt, Mariusz Nowostawski:
Imbalance measure and proactive channel rebalancing algorithm for the Lightning Network. - Mubashar Iqbal, Raimundas Matulevicius:
Blockchain-based Application Security Risks: A Systematic Literature Review. - Alfonso Medina Urrea, Juan-Manuel Torres-Moreno:
RIMAX: Ranking Semantic Rhymes by calculating Definition Similarity. - Daniil Bochkov, Frédéric Gibou:
Multidimensional Extrapolation over Interfaces with Kinks and Regions of High Curvatures. - Roya Sabbagh Novin, Amir Yazdani, Andrew Merryweather, Tucker Hermans:
A Model Predictive Approach for Online Mobile Manipulation of Nonholonomic Objects using Learned Dynamics. - Samuel Allen Alexander:
Measuring the intelligence of an idealized mechanical knowing agent. - Mustafa Coskun, Burcu Bakir-Gungor, Mehmet Koyutürk:
Expanding Label Sets for Graph Convolutional Networks. - Andrea Thomann, Gabriella Puppo, Christian Klingenberg:
An all speed second order well-balanced IMEX relaxation scheme for the Euler equations with gravity. - Junfeng Guan, Sohrab Madani, Suraj Jog, Haitham Hassanieh:
High Resolution Millimeter Wave Imaging For Self-Driving Cars. - Youjia Zhou, Janis Lazovskis, Michael J. Catanzaro, Matthew Zabka, Bei Wang:
MVF Designer: Design and Visualization of Morse Vector Fields. - Kai-Fu Yang, Wen-Wen Jiang, Teng-Fei Zhan, Yong-Jie Li:
Line Drawings of Natural Scenes Guide Visual Attention. - Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, Tommaso Caselli, Gertjan van Noord, Malvina Nissim:
BERTje: A Dutch BERT Model. - Andrey Leonidov, Alexey Savvateev, Andrew G. Semenov:
Quantal Response Equilibria in Binary Choice Games on Graphs. - Denis A. Gudovskiy, Gyuri Han, Takuya Yamaguchi, Sotaro Tsukizawa:
Smart Home Appliances: Chat with Your Fridge. - Ihsan Ullah, Mario Manzo, Mitul Shah, Michael G. Madden:
Graph Convolutional Networks: analysis, improvements and results. - Wei Huang, Richard Yi Da Xu:
Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems. - Johan S. Obando-Ceron, Victor Romero-Cano, Walter Mayor Toro:
Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data. - Stefan Zellmann:
Comparing Hierarchical Data Structures for Sparse Volume Rendering with Empty Space Skipping. - Mohammad Kachuee, Sajad Darabi, Shayan Fazeli, Majid Sarrafzadeh:
Group-Connected Multilayer Perceptron Networks. - Walter M. Mayor Toro, Juan Carlos Perafan Villota, Oscar H. Mondragon, Johan S. Obando-Ceron:
Divide and Conquer: an Accurate Machine Learning Algorithm to Process Split Videos on a Parallel Processing Infrastructure. - Yuichi Nagata, Shinji Imahori:
An Efficient Algorithm for the Escherization Problem in the Polygon Representation. - Reiko Heckel, Leen Lambers, Maryam Ghaffari Saadat:
Analysis of Graph Transformation Systems: Native vs Translation-based Techniques. 1-22 - Aaron Lye:
Transformation of Turing Machines into Context-Dependent Fusion Grammars. 53-70 - Mark Minas:
Speeding up Generalized PSR Parsers by Memoization Techniques. 71-86 - Christian Sandmann, Annegret Habel:
Rule-based Graph Repair. 87-104 - Rosemary Monahan, Virgile Prevosto, José Proença:
Proceedings Fifth Workshop on Formal Integrated Development Environment, F-IDE@FM 2019, Porto, Portugal, 7th October 2019. EPTCS 310, 2019 [contents] - Sara Alaee, Alireza Abdoli, Christian R. Shelton, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh:
Features or Shape? Tackling the False Dichotomy of Time Series Classification. - Barath Narayanan, Manawaduge Supun De Silva, Russell C. Hardie, Nathan K. Kueterman, Redha A. Ali:
Understanding Deep Neural Network Predictions for Medical Imaging Applications. - Ruyi Ji, Dawei Du, Libo Zhang, Longyin Wen, Yanjun Wu, Chen Zhao, Feiyue Huang, Siwei Lyu:
Learning Semantic Neural Tree for Human Parsing. - Can Chen, Indika Rajapakse:
Tensor entropy for uniform hypergraphs. - Paola Francesca Antonietti, Silvia Bertoluzza, Daniele Prada, Marco Verani:
The Virtual Element Method for a Minimal Surface Problem. - Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu:
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. - Yuliang Liu, Tong He, Hao Chen, Xinyu Wang, Canjie Luo, Shuaitao Zhang, Chunhua Shen, Lianwen Jin:
Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text Detection. - Sina Mohseni, Mandar Pitale, Vasu Singh, Zhangyang Wang:
Practical Solutions for Machine Learning Safety in Autonomous Vehicles. - Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Masayoshi Tomizuka, Xiang Bai:
AutoScale: Learning to Scale for Crowd Counting. - Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov:
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. - Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan L. Yuille, Jianchao Yang:
AtomNAS: Fine-Grained End-to-End Neural Architecture Search. - Xi Liu, Rui Zhang, Yongsheng Zhou, Qianyi Jiang, Qi Song, Nan Li, Kai Zhou, Lei Wang, Dong Wang, Minghui Liao, Mingkun Yang, Xiang Bai, Baoguang Shi, Dimosthenis Karatzas, Shijian Lu, C. V. Jawahar:
ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboard. - Dongfang Zhao:
The Blockchain Game: Synthesis of Byzantine Systems and Nash Equilibria. - Tatsuaki Kimura, Hiroshi Saito:
Spatio-Temporal Correlation of Interference in MANET Under Spatially Correlated Shadowing Environment. - Jing Kai Siow, Cuiyun Gao, Lingling Fan, Sen Chen, Yang Liu:
CORE: Automating Review Recommendation for Code Changes. - Lin Zhao, Wenbing Tao:
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds. - Ran Tamir, Neri Merhav, Nir Weinberger, Albert Guillen i Fabregas:
Large Deviations Behavior of the Logarithmic Error Probability of Random Codes. - Amir Belgi, Zeev Nutov:
An Õ(log2n)-approximation algorithm for 2-edge-connected dominating set. - Qing Jin, Linjie Yang, Zhenyu Liao:
AdaBits: Neural Network Quantization with Adaptive Bit-Widths. - Siwei Dong, Lin Zhu, Daoyuan Xu, Yonghong Tian, Tiejun Huang:
An Efficient Coding Method for Spike Camera using Inter-Spike Intervals. - Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi:
Bridging adversarial samples and adversarial networks. - Hui Yuan, Shiyun Zhao, Junhui Hou, Xuekai Wei, Sam Kwong:
Spatial and Temporal Consistency-Aware Dynamic Adaptive Streaming for 360-Degree Videos. - Qiang Wang, Shizhen Zheng, Qingsong Yan, Fei Deng, Kaiyong Zhao, Xiaowen Chu:
IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation. - Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz:
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. - Stefan Karlsson, Adnan Causevic, Daniel Sundmark:
QuickREST: Property-based Test Generation of OpenAPI-Described RESTful APIs. - Haien Zeng, Hanjiang Lai, Jian Yin:
Controllable Face Aging. - Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, Xiangyang Xue:
DeepSFM: Structure From Motion Via Deep Bundle Adjustment. - Yinkun Wang, Shuhuang Xiang:
Levin methods for highly oscillatory integrals with singularities. - Deming Yuan, Alexandre Proutière, Guodong Shi:
Distributed Online Optimization with Long-Term Constraints. - Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet:
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. - Andrzej Szalas:
A Paraconsistent ASP-like Language with Tractable Model Generation. - Ali Mottaghi, Serena Yeung:
Adversarial Representation Active Learning. - Shujie Han, Jun Wu, Erci Xu, Cheng He, Patrick P. C. Lee, Yi Qiang, Qixing Zheng, Tao Huang, Zixi Huang, Rui Li:
Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments. - Pavel Efimov, Leonid Boytsov, Pavel Braslavski:
SberQuAD - Russian Reading Comprehension Dataset: Description and Analysis. - Zheming Wang, Raphaël M. Jungers, Chong-Jin Ong:
Computation of the maximal invariant set of discrete-time systems subject to quasi-smooth non-convex constraints. - Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang:
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. - Christian A. Gorke, Frederik Armknecht:
Reverse Fingerprinting. - Roy Overbeek:
Formalizing Determinacy of Concurrent Revisions. - Stefano Berrone, Denise Grappein, Sandra Pieraccini, Stefano Scialò:
A Three-Field based optimization formulation for flow simulations in networks of fractures on non conforming meshes. - Konstantinos Papadopoulos, Enjie Ghorbel, Djamila Aouada, Björn E. Ottersten:
Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition. - Daniel Potts, Manfred Tasche:
Uniform error estimates for the NFFT. - Malte Sandstede:
Online Analysis of Distributed Dataflows with Timely Dataflow. - Tingting Liang, Yongtao Wang, Qijie Zhao, Huan Zhang, Zhi Tang, Haibin Ling:
MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection. - Mehmet Fatih Aktas, Swanand Kadhe, Emina Soljanin, Alex Sprintson:
Analyzing the Download Time of Availability Codes. - Pepe Vila, Pierre Ganty, Marco Guarnieri, Boris Köpf:
CacheQuery: Learning Replacement Policies from Hardware Caches. - Roben Castagna Lunardi, Henry Cabral Nunes, Vinicius da Silva Branco, Bruno Hugentobler Lipper, Charles Varlei Neu, Avelino Francisco Zorzo:
Performance and Cost Evaluation of Smart Contracts in Collaborative Health Care Environments. - Kim Batselier, Andrzej Cichocki, Ngai Wong:
MERACLE: Constructive layer-wise conversion of a Tensor Train into a MERA. - Daniel Dalalana Bertoglio, Guilherme Girotto, Charles Varlei Neu, Roben Castagna Lunardi, Avelino Francisco Zorzo:
Pentest on an Internet Mobile App: A Case Study using Tramonto. - (Withdrawn) New Construction of Optimal Interference-Free ZCZ Sequence Sets by Zak Transform.
- Chundong Wang, Gunavaran Brihadiswarn, Xingbin Jiang, Sudipta Chattopadhyay:
Circ-Tree: A B+-Tree Variant with Circular Design for Persistent Memory. - Chongxuan Li, Kun Xu, Jiashuo Liu, Jun Zhu, Bo Zhang:
Triple Generative Adversarial Networks. - Nirav Vasant Shah, Martin W. Hess, Gianluigi Rozza:
Discontinuous Galerkin Model Order Reduction of Geometrically Parametrized Stokes Equation. - Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, Jeroen Kloppenburg, Tim Verbelen, Jan S. Rellermeyer:
A Survey on Distributed Machine Learning. - Eryk Kopczynski:
Axiomatizing rectangular grids with no extra non-unary relations. - Andrey Kuzmin, Markus Nagel, Saurabh Pitre, Sandeep Pendyam, Tijmen Blankevoort, Max Welling:
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks. - Louisa Schlachter, Claudia Totzeck:
Parameter identification in uncertain scalar conservation laws discretized with the discontinuous stochastic Galerkin Scheme. - Petr Chunaev:
Community detection in node-attributed social networks: a survey. - Marharyta Aleksandrova, Oleg Chertov:
SCR-Apriori for Mining 'Sets of Contrasting Rules'. - Leon Sixt, Maximilian Granz, Tim Landgraf:
When Explanations Lie: Why Modified BP Attribution Fails. - Lingfei Jin, Liming Ma, Chaoping Xing:
A new construction of nonlinear codes via rational function fields. - Gabriëlle Ras, Ron Dotsch, Luca Ambrogioni, Umut Güçlü, Marcel A. J. van Gerven:
Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks. - Rajiv Nishtala, Vinicius Petrucci, Paul M. Carpenter, Xavier Martorell:
Hurry-up: Scaling Web Search on Big/Little Multi-core Architectures. - Peng Gang, Wei Zeng, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises. - Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby:
Explainability and Adversarial Robustness for RNNs. - Bennet Breier, Arno Onken:
Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification. - Dixing Xu, Mengyao Zheng, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng:
Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation. - Dmitry Chistikov, Grzegorz Lisowski, Mike Paterson, Paolo Turrini:
Convergence of Opinion Diffusion is PSPACE-complete. - Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton:
Meta-Graph: Few shot Link Prediction via Meta Learning. - Seung Min Baik, Young Myoung Ko:
A QoS-aware workload routing and server speed scaling policy for energy-efficient data centers: a robust queueing theoretic approach. - Maximilian Gaukler, Tim Rheinfels, Peter Ulbrich, Günter Roppenecker:
Convergence Rate Abstractions for Weakly-Hard Real-Time Control. - Frederik Meyer Bønneland, Peter Gjøl Jensen, Kim Guldstrand Larsen, Marco Muñiz, Jirí Srba:
Stubborn Set Reduction for Two-Player Reachability Games. - Roberto Garrappa:
Trapezoidal methods for fractional differential equations: theoretical and computational aspects. - Tian Lan, Xianling Mao, Heyan Huang, Wei Wei:
When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation. - Hong Zhu, Ian Bayley, Dongmei Liu, Xiaoyu Zheng:
Morphy: A Datamorphic Software Test Automation Tool. - Nathaniel Aldred, Luke Baal, Graeham Broda, Steven Trumble, Qusay H. Mahmoud:
Design and Implementation of a Blockchain-based Consent Management System. - Mohammad Javad Salehi, Antti Tölli, Seyed Pooya Shariatpanahi:
Subpacketization-Beamformer Interaction in Multi-Antenna Coded Caching. - Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli:
A Fair Comparison of Graph Neural Networks for Graph Classification. - Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong:
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. - Molly O'Brien, William M. Goble, Greg Hager, Julia V. Bukowski:
Dependable Neural Networks for Safety Critical Tasks. - Orcun Karaca, Pier Giuseppe Sessa, Anna Leidi, Maryam Kamgarpour:
No-Regret Learning from Partially Observed Data in Repeated Auctions. - Mona Fuhrländer, Niklas Georg, Ulrich Römer, Sebastian Schöps:
Adaptive Newton-Monte Carlo for efficient and fully error controlled yield optimization. - Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni:
Report on the First HIPstIR Workshop on the Future of Information Retrieval. - Zinovy Diskin, Nicholas Annable, Alan Wassyng, Mark Lawford:
Assurance via workflow+ modelling and conformance. - Minh Nguyen, Gia H. Ngo, Nancy F. Chen:
Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks. - Andrew Gibbs, David P. Hewett, Daan Huybrechs, Emile Parolin:
Fast hybrid numerical-asymptotic boundary element methods for high frequency screen and aperture problems based on least-squares collocation. - Sélim Chraibi, Ahmed Khaled, Dmitry Kovalev, Peter Richtárik, Adil Salim, Martin Takác:
Distributed Fixed Point Methods with Compressed Iterates. - Yuzheng Hu, Licong Lin, Shange Tang:
Second-order Information in First-order Optimization Methods. - Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell:
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks. - Wenhao Luo, Ashish Kapoor:
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates. - Meixiang Zhao, Zhigang Jia, Yunfeng Cai, Xiao Chen, Dunwei Gong:
Advanced Variations of Two-Dimensional Principal Component Analysis for Face Recognition. - Kai Wan, Hua Sun, Mingyue Ji, Daniela Tuninetti, Giuseppe Caire:
Fundamental Limits of Device-to-Device Private Caching with Trusted Server. - Andrei Ivanov, Anna Golovkina, Uwe Iben:
Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning. - Daniel Aragão Abreu Filho:
Busca de melhor caminho entre múltiplas origens e múltiplos destinos em redes complexas que representam cidades. - Peter Coppens, Mathijs Schuurmans, Panagiotis Patrinos:
Data-driven distributionally robust LQR with multiplicative noise. - Alexander Beigl, Jarle Sogn, Walter Zulehner:
Robust Preconditioners for Multiple Saddle Point Problems and Applications to Optimal Control Problems. - Piotr Milos, Lukasz Kucinski, Konrad Czechowski, Piotr Kozakowski, Maciej Klimek:
Uncertainty-sensitive Learning and Planning with Ensembles. - Pedro Tabacof, Luca Costabello:
Probability Calibration for Knowledge Graph Embedding Models. - Holger Lyre:
Does AlphaGo actually play Go? Concerning the State Space of Artificial Intelligence. - Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
A Hierarchical Model for Data-to-Text Generation. - Marco Melis, Ambra Demontis, Maura Pintor, Angelo Sotgiu, Battista Biggio:
secml: A Python Library for Secure and Explainable Machine Learning. - Manuel Carbonell, Alicia Fornés, Mauricio Villegas, Josep Lladós:
TreyNet: A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages. - Vítor Albiero, Nisha Srinivas, Esteban Villalobos, Jorge Perez-Facuse, Roberto Rosenthal, Domingo Mery, Karl Ricanek, Kevin W. Bowyer:
Identity Document to Selfie Face Matching Across Adolescence. - S. Singh, Sarthok Sircar:
Implicit-explicit-compact methods for advection diffusion reaction equations. - Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler:
A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations. - Joeri Alexis Frederik, Bart Matthijs Doekemeijer, Sebastiaan Paul Mulders, Jan-Willem van Wingerden:
The helix approach: using dynamic individual pitch control to enhance wake mixing in wind farms. - (Withdrawn) IMEX error inhibiting schemes with post-processing.
- Cornelis A. Middelburg:
Probabilistic process algebra and strategic interleaving. - Maedeh Jamali, Nader Karimi, Shadrokh Samavi:
Saliency Based Fire Detection Using Texture and Color Features. - Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis:
A New Preconditioning Approach for an Interior Point-Proximal Method of Multipliers for Linear and Convex Quadratic Programming. - Ethan Weinberger, Joseph D. Janizek, Su-In Lee:
Learned Feature Attribution Priors. - Sarah Dean, Sarah Rich, Benjamin Recht:
Recommendations and User Agency: The Reachability of Collaboratively-Filtered Information. - Yaonan Jin, Pinyan Lu, Tao Xiao:
Learning Reserve Prices in Second-Price Auctions. - Isaac A. Corley, Jonathan Lwowski, Justin Hoffman:
Destruction of Image Steganography using Generative Adversarial Networks. - Abdullah Aydeger, Mohammad Hossein Manshaei, Mohammad Ashiqur Rahman, Kemal Akkaya:
Strategic Defense against Stealthy Link Flooding Attacks: A Signaling Game Approach. - Xun Zou, Mehdi Ganji, Hamid Jafarkhani:
Trellis-Coded Non-Orthogonal Multiple Access. - Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar:
Are Transformers universal approximators of sequence-to-sequence functions? - Tiago Alves, Alberto H. F. Laender, Adriano Veloso, Nivio Ziviani:
Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation. - Julian Henning, Davide Palitta, Valeria Simoncini, Karsten Urban:
Matrix oriented reduction of space-time Petrov-Galerkin variational problems. - Nuno A. C. Henriques, Helder Coelho, Leonel Garcia-Marques:
SensAI+Expanse Adaptation on Human Behaviour Towards Emotional Valence Prediction. - Matteo Grimaldi, Valentino Peluso, Andrea Calimera:
EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets. - Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan C. Bovik:
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality. - Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz:
Sum-Product Network Decompilation. - N. C. Shrikanth, Tim Menzies:
Assessing Practitioner Beliefs. - Stefan C. Schonsheck, Jie Chen, Rongjie Lai:
Chart Auto-Encoders for Manifold Structured Data. - Alexander Shevchenko, Marco Mondelli:
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks. - Niklas Stoehr, Fabian Braesemann, Michael Frommelt, Shi Zhou:
Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends. - Luca Pascarella, Davide Spadini, Fabio Palomba, Alberto Bacchelli:
On The Effect Of Code Review On Code Smells. - Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames:
Learning for Safety-Critical Control with Control Barrier Functions. - Luca Mocerino, Andrea Calimera:
TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks. - Yitao Li, Umar Islambekov, Cuneyt Gurcan Akcora, Ekaterina Smirnova, Yulia R. Gel, Murat Kantarcioglu:
Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph. - Joseph Nassar, Viveca Pavon-Harr, Marc Bosch, Ian McCulloh:
Assessing Data Quality of Annotations with Krippendorff Alpha For Applications in Computer Vision. - Yi Shi, Yalin E. Sagduyu:
Coherent Communications in Self-Organizing Networks with Distributed Beamforming. - Inês Lourenço, Bo Wahlberg, Rodrigo Ventura:
Teaching robots to perceive time - A reinforcement learning approach (Extended version). - Elena Arcari, Lukas Hewing, Max Schlichting, Melanie N. Zeilinger:
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty. - Mohammad Javad Khojasteh, Vikas Dhiman, Massimo Franceschetti, Nikolay Atanasov:
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics. - Anjian Li, Somil Bansal, Georgios Giovanis, Varun Tolani, Claire J. Tomlin, Mo Chen:
Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability. - Da Chen, Jean-Marie Mirebeau, Huazhong Shu, Laurent D. Cohen:
Eikonal Region-based Active Contours for Image Segmentation. - Liqiang Zhang, Chengzhu Yu, Heng Lu, Chao Weng, Yusong Wu, Xiang Xie, Zijin Li, Dong Yu:
Learning Singing From Speech. - Saurav Sahay, Shachi H. Kumar, Eda Okur, Haroon Syed, Lama Nachman:
Modeling Intent, Dialog Policies and Response Adaptation for Goal-Oriented Interactions. - Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. - Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog. - Apoorv Ingle:
QuB: A Resource Aware Functional Programming Language. - Angelo Monti, Blerina Sinaimeri:
String factorisations with maximum or minimum dimension. - Sheng Li, Maxim Egorov, Mykel J. Kochenderfer:
Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning. - Timothy M. Chan, Zhengcheng Huang:
Improved Upper and Lower Bounds for LR Drawings of Binary Trees. - Guilherme Iecker Ricardo, Emilio Leonardi, Guilherme Iecker, Thrasyvoulos Spyropoulos:
A Swiss Army Knife for Dynamic Caching in Small Cell Networks. - Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen:
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. - Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge J. Belongie, Ser-Nam Lim:
Measuring Dataset Granularity. - Farhan N. Damani, Vishnu Sresht, Stephen Ra:
Black Box Recursive Translations for Molecular Optimization. - Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita:
Regularized Operating Envelope with Interpretability and Implementability Constraints. - Gaurav Kumar, Rishabh Joshi, Jaspreet Singh, Promod Yenigalla:
AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue. - Maria Becker, Katharina Korfhage, Anette Frank:
Implicit Knowledge in Argumentative Texts: An Annotated Corpus. - Eleni Partalidou, Eleftherios Spyromitros Xioufis, Stavros Doropoulos, Stavros Vologiannidis, Konstantinos I. Diamantaras:
Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy. - Makoto Nakatsuji:
Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions. - Markus J. Hofmann, Mareike A. Kleemann, André Rölke, Christian Vorstius, Ralph Radach:
Decomposing predictability: Semantic feature overlap between words and the dynamics of reading for meaning. - Raul Puri, Bryan Catanzaro:
Zero-shot Text Classification With Generative Language Models. - Zeljko Kraljevic, Daniel Bean, Aurelie Mascio, Lukasz Roguski, Amos Folarin, Angus Roberts, Rebecca Bendayan, Richard J. B. Dobson:
MedCAT - Medical Concept Annotation Tool. - Marco Berlot, Evan Kaplan:
Machine Translation with Cross-lingual Word Embeddings. - Blaine Cole:
Two Way Adversarial Unsupervised Word Translation. - Niels van der Heijden, Samira Abnar, Ekaterina Shutova:
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings. - Dominika Tkaczyk, Andrew Collins, Joeran Beel:
NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts. - Tarek Hamrouni:
Replication in Data Grids: Metrics and Strategies. - Miranda C. Holmes-Cerfon:
Simulating sticky particles: A Monte Carlo method to sample a Stratification. - Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu:
DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration. - Alvin Chan, Yi Tay, Yew-Soon Ong, Jie Fu:
Jacobian Adversarially Regularized Networks for Robustness. - Xihan Chen, Kaiming Shen, Hei Victor Cheng, An Liu, Wei Yu, Min-Jian Zhao:
Power Control for Massive MIMO Systems with Nonorthogonal Pilots. - Seyed Ali Mirheidari, Sajjad Arshad, Kaan Onarlioglu, Bruno Crispo, Engin Kirda, William K. Robertson:
Cached and Confused: Web Cache Deception in the Wild. - Jinjia Peng, Guangqi Jiang, Dongyan Chen, Tongtong Zhao, Huibing Wang, Xianping Fu:
Eliminating cross-camera bias for vehicle re-identification. - Xunnian Yang:
Anisotropic Mesh Filtering by Homogeneous MLS Fitting. - Hailiang Liu, Peimeng Yin:
Unconditionally energy stable discontinuous Galerkin schemes for the Cahn-Hilliard equation. - Zachary Eberhart, Alexander LeClair, Collin McMillan:
Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments. - Rui Zhang, Christian J. Walder, Edwin V. Bonilla, Marian-Andrei Rizoiu, Lexing Xie:
Quantile Propagation for Wasserstein-Approximate Gaussian Processes. - Yigit Oktar, Diclehan Karakaya, Oguzhan Ulucan, Mehmet Türkan:
Convolutional Neural Networks: A Binocular Vision Perspective. - Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning:
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction. - Rahul Radhakrishnan Iyer, Carolyn Penstein Rosé:
A Machine Learning Framework for Authorship Identification From Texts. - Tianwei Wang, Yuanzhi Zhu, Lianwen Jin, Canjie Luo, Xiaoxue Chen, Yaqiang Wu, Qianying Wang, Mingxiang Cai:
Decoupled Attention Network for Text Recognition. - James Fox, Sivasankaran Rajamanickam:
How Robust Are Graph Neural Networks to Structural Noise? - Qing Jin, Linjie Yang, Zhenyu Liao:
Towards Efficient Training for Neural Network Quantization. - Sascha Kurz, Alexander Mayer, Stefan Napel:
Influence in Weighted Committees. - Wenjing Yan, Xiaojun Yuan, Zhen-Qing He, Xiaoyan Kuai:
Passive Beamforming and Information Transfer Design for Reconfigurable Intelligent Surfaces Aided Multiuser MIMO Systems. - Qiuqiang Kong, Yin Cao, Turab Iqbal, Yuxuan Wang, Wenwu Wang, Mark D. Plumbley:
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition. - Marco Giordani, Michele Zorzi:
Non-Terrestrial Communication in the 6G Era: Challenges and Opportunities. - Xin Ma, Yi Li, Huaibo Huang, Mandi Luo, Tanhao Hu, Ran He:
Style-based Variational Autoencoder for Real-World Super-Resolution. - Bo-Christer Björk, Sari Kanto-Karvonen, J. Tuomas Harviainen:
How Frequently are Articles in Predatory Open Access Journals Cited. - Irem Ülkü, Erdem Akagündüz:
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images. - Anguluri Rajasekhar, Abed AlRahman Al Makdah, Vaibhav Katewa, Fabio Pasqualetti:
On the Robustness of Data-Driven Controllers for Linear Systems. - Deli Zhao, Jiapeng Zhu, Bo Zhang:
Latent Variables on Spheres for Sampling and Spherical Inference. - Amazigh Amrane, Nicolas Bedon:
Logic and Rational Languages of Scattered and Countable Series-Parallel Posets. - Sudip Das, Partha Sarathi Mukherjee, Ujjwal Bhattacharya:
Seek and You Will Find: A New Optimized Framework for Efficient Detection of Pedestrian. - Marian Piatkowski, Peter Bastian:
A high-order discontinuous Galerkin pressure robust splitting scheme for incompressible flows. - Guntur Dharma Putra, Volkan Dedeoglu, Salil S. Kanhere, Raja Jurdak:
Trust Management in Decentralized IoT Access Control System. - Huaizheng Zhang, Yong Luo, Qiming Ai, Nana Hou, Yonggang Wen:
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning. - Wen-Jin Fu, Xiao-Jun Wu, He-Feng Yin, Wen-Bo Hu:
Research on Clustering Performance of Sparse Subspace Clustering. - Matthew Wai Heng Chung, Hegler Tissot:
Evaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized Data. - Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä:
A sparse resultant based method for efficient minimal solvers. - Yug Ajmera:
Shared Autonomy in Web-based Human Robot Interaction. - Bo Jiang, Zitai Zhou, Xiao Wang, Jin Tang:
cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks. - Shilpi Goel, Anna Slobodová, Rob Sumners, Sol Swords:
Verifying x86 Instruction Implementations. - Yapeng Tian, Chenliang Xu, Dingzeyu Li:
Deep Audio Prior. - Raghav Sardana, Rahul Kottath, Vinod Karar, Shashi Poddar:
Joint Forward-Backward Visual Odometry for Stereo Cameras. - (Withdrawn) Content Addressed P2P File System for the Web with Blockchain-Based Meta-Data Integrity.
- Patrick Henning, Anders M. N. Niklasson:
Shadow Lagrangian dynamics for superfluidity. - Jordan Ott:
Questions to Guide the Future of Artificial Intelligence Research. - Xiong Liu, Yu Chen, Jay Bae, Hu Li, Joseph Johnston, Todd Sanger:
Predicting Heart Failure Readmission from Clinical Notes Using Deep Learning. - Lei Kang, Pau Riba, Mauricio Villegas, Alicia Fornés, Marçal Rusiñol:
Candidate Fusion: Integrating Language Modelling into a Sequence-to-Sequence Handwritten Word Recognition Architecture. - Graham Fyffe:
Closed Form Variances for Variational Auto-Encoders. - Daniel McDuff, Jonah Berger:
Do Facial Expressions Predict Ad Sharing? A Large-Scale Observational Study. - Sheikh Ariful Islam, Farha Islam Mime, S. M. Asaduzzaman, Farzana Islam:
Socio-network Analysis of RTL Designs for Hardware Trojan Localization. - Ícaro Cavalcante Dourado, Salvatore Tabbone, Ricardo da Silva Torres:
Multimodal Representation Model based on Graph-Based Rank Fusion. - Abhishek Nan:
Exploring TD error as a heuristic for σ selection in Q(σ, λ). - Ta-Hao Ting, Tsung-Nan Lin, Shan-Hsiang Shen, Yu-Wei Chang:
Guidelines for 5G End to End Architecture and Security Issues. - Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin:
Deep Automodulators. - Arghyadip Roy, Vivek S. Borkar, Abhay Karandikar, Prasanna Chaporkar:
Online Reinforcement Learning of Optimal Threshold Policies for Markov Decision Processes. - Yanchao Sun, Furong Huang:
Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning. - Renato Vizuete, Paolo Frasca, Federica Garin:
Graphon-based sensitivity analysis of SIS epidemics. - Werner Bauer, Jörn Behrens, Colin J. Cotter:
A structure-preserving approximation of the discrete split rotating shallow water equations. - Chao Qu, Ty Nguyen, Camillo J. Taylor:
Depth Completion via Deep Basis Fitting. - Dandan Guo, Bo Chen, Ruiying Lu, Mingyuan Zhou:
Recurrent Hierarchical Topic-Guided Neural Language Models. - El Wardani Dadi:
Tifinagh-IRCAM Handwritten character recognition using Deep learning. - Matthew Dobson, Jiayu Zhai, Yao Li:
Using coupling methods to estimate sample quality for stochastic differential equations. - Jittat Fakcharoenphol, Chayutpong Prompak:
Bandit Multiclass Linear Classification for the Group Linear Separable Case. - Lu Xu, Yating Wang:
XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service. - Constantinos Psomas, Ilias Chrysovergis, Ioannis Krikidis:
Low-Complexity Random Rotation-based Schemes for Intelligent Reflecting Surfaces. - Ronghua Xu, Yu Chen:
Microchain: a Light Hierarchical Consensus Protocol for IoT System. - Julian Nubert, Johannes Köhler, Vincent Berenz, Frank Allgöwer, Sebastian Trimpe:
Safe and Fast Tracking Control on a Robot Manipulator: Robust MPC and Neural Network Control. - Wei-Hong Li, Chuan-Sheng Foo, Hakan Bilen:
Learning to Impute: A General Framework for Semi-supervised Learning. - Gauthier Voron, Vincent Gramoli:
Dispel: Byzantine SMR with Distributed Pipelining. - Zibin Zheng, Shaoan Xie, Hong-Ning Dai, Weili Chen, Xiangping Chen, Jian Weng, Muhammad Imran:
An Overview on Smart Contracts: Challenges, Advances and Platforms. - Ferdous Sohel, Amar A. El-Sallam, Mohammed Bennamoun:
Robust Pose Invariant Shape and Texture based Hand Recognition. - Boxin Wang, Hengzhi Pei, Han Liu, Bo Li:
AdvCodec: Towards A Unified Framework for Adversarial Text Generation. - Qianxiao Li, Ting Lin, Zuowei Shen:
Deep Learning via Dynamical Systems: An Approximation Perspective. - Eun Seo Jo, Timnit Gebru:
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning. - Jianze Li, Shuzhong Zhang:
Polar decomposition based algorithms on the product of Stiefel manifolds with applications in tensor approximation. - Ajay Kumar Pandey, Prashanth L. A., Sanjay P. Bhat:
Estimation of Spectral Risk Measures. - Max Revay, Ian R. Manchester:
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. - Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles:
Adversarial Cross-Domain Action Recognition with Co-Attention. - Xingyu Chen, Zhengxing Wu, Junzhi Yu:
Continuity, Stability, and Integration: Novel Tracking-Based Perspectives for Temporal Object Detection. - Kartik Sharma, Ashutosh Aggarwal, Tanay Singhania, Deepak Gupta, Ashish Khanna:
Hiding Data in Images Using Cryptography and Deep Neural Network. - Jung Un Yun, In Kyu Park:
Joint Face Super-Resolution and Deblurring Using a Generative Adversarial Network. - Christoph Mayer, Matthieu Paul, Radu Timofte:
Adversarial Feature Distribution Alignment for Semi-Supervised Learning. - Andreas Hanselowski, Iryna Gurevych:
Analyzing Structures in the Semantic Vector Space: A Framework for Decomposing Word Embeddings. - Ankit Chadha, Rewa Sood:
BERTQA - Attention on Steroids. - Mohammad Saleh Mahdizadeh, Behnam Bahrak:
A Regression Framework for Predicting User's Next Location using Call Detail Records. - Fabrício Olivetti de França, Denis G. Fantinato, Karine Miras, A. E. Eiben, Patrícia Amâncio Vargas:
EvoMan: Game-playing Competition. - Jean-Luc Baril, Carine Khalil, Vincent Vajnovszki:
Catalan words avoiding pairs of length three patterns. - Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
On the Initialization of Long Short-Term Memory Networks. - Kannan Venkataramanan, Haresh Rengaraj Rajamohan:
Emotion Recognition from Speech. - Jayavignesh Thyagarajan, Suganthi K:
A Novel Hybrid Opportunistic Scalable Energy Efficient Routing Design For Low Power, Lossy Wireless Sensor Networks. - Jian Sun, Yaoyu Zhang, Yang Yu, Chenye Wu:
Storage Control for Carbon Emission Reduction: Opportunities and Challenges. - Xing Di, Vishal M. Patel:
Facial Synthesis from Visual Attributes via Sketch using Multi-Scale Generators. - Marzieh Hasannasab, Johannes Hertrich, Sebastian Neumayer, Gerlind Plonka, Simon Setzer, Gabriele Steidl:
Parseval Proximal Neural Networks. - Navid Naderializadeh, Morteza Hashemi:
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach. - Athanasios Davvetas, Iraklis A. Klampanos:
Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks. - Firat Özdemir, Zixuan Peng, Philipp Fürnstahl, Christine Tanner, Orcun Goksel:
Active Learning for Segmentation Based on Bayesian Sample Queries. - Alireza Farhadi, MohammadTaghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi:
Approximate Maximum Matching in Random Streams. - Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman:
Direct and Indirect Effects - An Information Theoretic Perspective. - Idris Abdulmumin, Bashir Shehu Galadanci, Aliyu Garba:
Tag-less Back-Translation. - Marlo Souza, Álvaro F. Moreira:
Bringing Belief Base Change into Dynamic Epistemic Logic. - Andrea Matera, Rahif Kassab, Osvaldo Simeone, Umberto Spagnolini:
Non-Orthogonal eMBB-URLLC Radio Access for Cloud Radio Access Networks with Analog Fronthauling. - Sitaram Devarakonda, Dmitriy Korobskiy, Tandy J. Warnow, George Chacko:
Viewing Computer Science through Citation Analysis; Salton and Bergmark Redux. - Lili Song, Luís Nunes Vicente:
Modeling Hessian-vector products in nonlinear optimization: New Hessian-free methods. - Stanislaw Saganowski, Anna Dutkowiak, Adam Dziadek, Maciej Dziezyc, Joanna Komoszynska, Weronika Michalska, Adam G. Polak, Michal Ujma, Przemyslaw Kazienko:
Emotion Recognition Using Wearables: A Systematic Literature Review Work in progress. - Max Hodapp:
Analysis of a Sinclair-type domain decomposition solver for atomistic/continuum coupling. - Evgeniya Khasina:
The CoCo-Beholder: Enabling Comprehensive Evaluation of Congestion Control Algorithms. - Ruocheng Guo, Jundong Li, Huan Liu:
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data. - Gerhard Freudenthaler, Thomas Meurer:
PDE-based multi-agent formation control using flatness and backstepping: analysis, design and robot experiments. - Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker:
Learning to Generate Dense Point Clouds with Textures on Multiple Categories. - Tianen Chen, Jincheng Sun, Hongyi Lin, Yan Liu:
Hybrid Machine Learning Models of Classifying Residential Requests for Smart Dispatching. - Anahita Hosseini, Tyler Davis, Majid Sarrafzadeh:
Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks. - Mohammad Aliannejadi, Manajit Chakraborty, Esteban Andrés Ríssola, Fabio Crestani:
Harnessing Evolution of Multi-Turn Conversations for Effective Answer Retrieval. - Renuka Sindhgatta, Chun Ouyang, Catarina Moreira, Yi Liao:
Interpreting Predictive Process Monitoring Benchmarks. - Drimik Roy Chowdhury, Muhammad Firmansyah Kasim:
Efficient Parameter Sampling for Neural Network Construction. - Behrooz Makki, Krishna Chitti, Ali Behravan, Mohamed-Slim Alouini:
A Survey of NOMA: Current Status and Open Research Challenges. - Irena Gao:
Fair Matching in Dynamic Kidney Exchange. - Julia Stoyanovich, Armanda Lewis:
Teaching Responsible Data Science: Charting New Pedagogical Territory. - Zhenyu Liu, Lin Zhang, Zhi Ding:
Overcoming the Channel Estimation Barrier in Massive MIMO Communication Systems. - Tian Tan, Zhihan Xiong, Vikranth R. Dwaracherla:
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning. - Thinh T. Doan:
Finite-Time Analysis and Restarting Scheme for Linear Two-Time-Scale Stochastic Approximation. - Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal, Alla Sheffer:
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction. - Huiwei Zhou, Chengkun Lang, Zhuang Liu, Shixian Ning, Yingyu Lin, Lei Du:
Knowledge-guided Convolutional Networks for Chemical-Disease Relation Extraction. - Pedro Sandoval Segura, Julius Lauw, Daniel Bashir, Kinjal Shah, Sonia Sehra, Dominique Macias, George D. Montañez:
The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity. - Farbod Taymouri, Marcello La Rosa, Josep Carmona:
Business Process Variant Analysis based on Mutual Fingerprints of Event Logs. - Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Bo Cheng:
Direct and indirect reinforcement learning. - Huiwei Zhou, Yunlong Yang, Shixian Ning, Zhuang Liu, Chengkun Lang, Yingyu Lin, Degen Huang:
Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction. - (Withdrawn) Proof nets through the lens of graph theory: a compilation of remarks.
- Zhenyu Liu, Lin Zhang, Zhi Ding:
An Efficient Deep Learning Framework for Low Rate Massive MIMO CSI Reporting. - Chong Huang, Yuanjie Dang, Peng Chen, Xin Yang, Kwang-Ting Cheng:
One-Shot Imitation Filming of Human Motion Videos. - Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus:
Neural Outlier Rejection for Self-Supervised Keypoint Learning. - Chakaveh Saedi, Mark Dras:
Siamese Networks for Large-Scale Author Identification. - Ahmet Kurt, Enes Erdin, Mumin Cebe, Kemal Akkaya, A. Selcuk Uluagac:
LNBot: A Covert Hybrid Botnet on Bitcoin Lightning Network. - Pragya Sharma, Jayakrishnan Nair, Raman Singh:
Adaptive flow-level scheduling for the IoT MAC. - Jan Bessai, Moritz Roidl, Anna Vasileva:
Experience Report: Towards Moving Things with Types - Helping Logistics Domain Experts to Control Cyber-Physical Systems with Type-Based Synthesis. 1-6 - Denis Cousineau, David Mentré, Hiroaki Inoue:
Automated Deductive Verification for Ladder Programming. 7-12 - Frédéric Tuong, Burkhart Wolff:
Deeply Integrating C11 Code Support into Isabelle/PIDE. 13-28 - Peter D. Mosses:
A Component-Based Formal Language Workbench. 29-34 - Paolo Masci, César A. Muñoz:
An Integrated Development Environment for the Prototype Verification System. 35-49 - Markus Alexander Kuppe, Leslie Lamport, Daniel Ricketts:
The TLA+ Toolbox. 50-62 - Julien Brunel, David Chemouil, Alcino Cunha, Nuno Macedo:
Simulation under Arbitrary Temporal Logic Constraints. 63-69 - Eduard Kamburjan, Jonas Stromberg:
Tool Support for Validation of Formal System Models: Interactive Visualization and Requirements Traceability. 70-85 - Xiao Tang, Xiaowei Hu, Chi-Wing Fu, Daniel Cohen-Or:
GrabAR: Occlusion-aware Grabbing Virtual Objects in AR. - Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Aleksandra Knezevic, Jason A. Tran, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr:
Jupiter: A Networked Computing Architecture. - Mingye Xu, Zhipeng Zhou, Yu Qiao:
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation. - Changsheng You, Beixiong Zheng, Rui Zhang:
Progressive Channel Estimation and Passive Beamforming for Intelligent Reflecting Surface with Discrete Phase Shifts. - Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer:
Monte-Carlo Tree Search for Policy Optimization. - Josef Dick, Takashi Goda:
Stability of lattice rules and polynomial lattice rules constructed by the component-by-component algorithm. - Xing Liu, Xiao-Jun Wu, Zhen Liu, He-Feng Yin:
A Compared Study Between Some Subspace Based Algorithms. - Yu Chen, Shuhan Shen, Yisong Chen, Guoping Wang:
Graph-Based Parallel Large Scale Structure from Motion. - Dongchu Su, Yong Li, Bo Yuan:
SSR: A Stall Scheme Reducing Bubbles in Load-Use Hazard of RISC-V Pipeline. - Xuehui Yu, Yuqi Gong, Nan Jiang, Qixiang Ye, Zhenjun Han:
Scale Match for Tiny Person Detection. - Yutian Yang, Songbo Zhu, Wenbo Shen, Yajin Zhou, Jiadong Sun, Kui Ren:
ARM Pointer Authentication based Forward-Edge and Backward-Edge Control Flow Integrity for Kernels. - Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam:
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling. - Ziwei Wan, Zhen Gao, Byonghyo Shim, Kai Yang, Guoqiang Mao, Mohamed-Slim Alouini:
Compressive Sensing Based Channel Estimation for Millimeter-Wave Full-Dimensional MIMO with Lens-Array. - Jawad Mirza, Bakhtiar Ali:
Channel Estimation Method and Phase Shift Design for Reconfigurable Intelligent Surface Assisted MIMO Networks. - Aly Magassouba, Komei Sugiura, Hisashi Kawai:
A Multimodal Target-Source Classifier with Attention Branches to Understand Ambiguous Instructions for Fetching Daily Objects. - Kyuho Bae, Andre Ivan, Hajime Nagahara, In Kyu Park:
5D Light Field Synthesis from a Monocular Video. - Haoran Wei, Lin Zhou, Yue Zhang, Hao Li, Rongxin Guo, Hongqi Wang:
Oriented Objects as pairs of Middle Lines. - Bin Dai, Ziyu Wang, David P. Wipf:
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse. - Dongqi Han, Kenji Doya, Jun Tani:
Variational Recurrent Models for Solving Partially Observable Control Tasks. - Nofar Carmeli, Shai Zeevi, Christoph Berkholz, Benny Kimelfeld, Nicole Schweikardt:
Answering (Unions of) Conjunctive Queries using Random Access and Random-Order Enumeration. - Malvin Gattinger:
Towards Symbolic Factual Change in DEL. - Aiqing Fang, Xinbo Zhao, Yanning Zhang:
Cross-Modal Image Fusion Theory Guided by Subjective Visual Attention. - Yudie Wang, Zhiwei Li, Chao Zeng, Gui-Song Xia, Huanfeng Shen:
Extracting urban water by combining deep learning and Google Earth Engine. - Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou:
TextNAS: A Neural Architecture Search Space tailored for Text Representation. - Yingshi Chen, Jinfeng Zhu:
An optical diffractive deep neural network with multiple frequency-channels. - Bojie Lv, Yuncong Hong, Haisheng Tan, Zhenhua Han, Rui Wang:
Cooperative Job Dispatching in Edge Computing Network with Unpredictable Uploading Delay. - Nasir Saeed, Abdulkadir Celik, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Analysis of 3D Localization in Underwater Optical Wireless Networks with Uncertain Anchor Positions. - Aiqing Fang, Xinbo Zhao, Yanning Zhang:
A Robust Non-Linear and Feature-Selection Image Fusion Theory. - Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock, Peter Kontschieder:
The Five Elements of Flow. - (Withdrawn) AutoML: Exploration v.s. Exploitation.
- S. Balaji, T. Kavya, Natasha Sebastian:
Learn-able parameter guided Activation Functions. - Shipra Kumari, Hrishikesh Mahato:
Encryption based on Conference Matrix. - Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim:
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems. - Sébastien Henwood, François Leduc-Primeau, Yvon Savaria:
Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks. - Andreas Frommer, Birgit Jacob, Karsten Kahl, Christian Wyss, Ian Zwaan:
Krylov type methods exploiting the quadratic numerical range. - Xing Liu, Xiao-Jun Wu, Ziqi Li:
2DR1-PCA and 2DL1-PCA: two variant 2DPCA algorithms based on none L2 norm. - Franziska Eberle, Nicole Megow, Kevin Schewior:
Optimally handling commitment issues in online throughput maximization. - Laurent Bako, Vincent Andrieu:
Interval-valued estimation for discrete-time linear systems: application to switched systems. - Sampo Kuutti, Richard Bowden, Yaochu Jin, Phil Barber, Saber Fallah:
A Survey of Deep Learning Applications to Autonomous Vehicle Control. - Wenkai Han, Chenglu Wen, Cheng Wang, Xin Li, Qing Li:
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling. - Banglei Guan, Ji Zhao, Zhang Li, Fang Sun, Friedrich Fraundorfer:
Minimal Solutions for Relative Pose with a Single Affine Correspondence. - Radek Oslejsek, Vít Rusnák, Karolína Dockalová Burská, Valdemar Svábenský, Jan Vykopal:
Visual Feedback for Players of Multi-Level Capture the Flag Games: Field Usability Study. - Chi Xu, Hao Feng, Xiang Ao:
Hunt Protagonist of Sentiment: Sentiment Analysis via Capsule Network with Sentiment-Aspect Reconstruction. - Austin Dill, Songwei Ge, Eunsu Kang, Chun-Liang Li, Barnabás Póczos:
Learned Interpolation for 3D Generation. - Ahmad Shawahna, Md. Enamul Haque, Alaaeldin Amin:
JPEG Image Compression using the Discrete Cosine Transform: An Overview, Applications, and Hardware Implementation. - Matteo Cinelli, Mauro Conti, Livio Finos, Francesco Grisolia, Petra Kralj Novak, Antonio Peruzzi, Maurizio Tesconi, Fabiana Zollo, Walter Quattrociocchi:
(Mis)Information Operations: An Integrated Perspective. - Cécilia Tarpau, Javier Cebeiro, Maï K. Nguyen, Geneviève Rollet, Marcela A. Morvidone:
Analytic inversion of a Radon transform on double circular arcs with applications in Compton Scattering Tomography. - Kelly Kochanski, Divya Mohan, Jenna Horrall, Barry Rountree, Ghaleb Abdulla:
Deep learning predictions of sand dune migration. - André Neves, Carlos Viegas Damásio, João Moura Pires, Fernando Pedro Birra:
Deteção de estruturas permanentes a partir de dados de séries temporais Sentinel 1 e 2. - Vanika Singhal, Angshul Majumdar:
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning. - Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian:
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers. - Hang Zhou, Christian Otto, Ralph Ewerth:
Visual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction. - Alexey Oblaukhov:
On metric regularity of Reed-Muller codes. - Mateusz Dorobek:
Wykorzystanie sztucznej inteligencji do generowania treści muzycznych. - René Haberland:
Narrowing Down XML Template Expansion and Schema Validation. - René Haberland:
Using Prolog for Transforming XML-Documents. - Lizhen Liang, Daniel E. Acuna:
Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models. - Conor O'Sullivan, Joeran Beel:
Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights. - Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert:
Big Data in Cloud Computing Review and Opportunities. - Jithin James:
DeepHashing using TripletLoss. - Luca Piccolboni, Paolo Mantovani, Giuseppe Di Guglielmo, Luca P. Carloni:
COSMOS: Coordination of High-Level Synthesis and Memory Optimization for Hardware Accelerators. - Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette:
Differentiable Reasoning on Large Knowledge Bases and Natural Language. - Ana Paula Appel, Victor Oliveira, Bruno Lima, Gabriel Louzada Malfatti, Vagner Figueredo de Santana, Rogério de Paula:
Optimize Cash Collection: Use Machine learning to Predicting Invoice Payment. - Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-lag Granger Causality for Time Series Analysis. - Huiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye:
An Attention-based Graph Neural Network for Heterogeneous Structural Learning. - Ziwen He, Wei Wang, Xinsheng Xuan, Jing Dong, Tieniu Tan:
A New Ensemble Method for Concessively Targeted Multi-model Attack. - Stefano Teso:
Does Symbolic Knowledge Prevent Adversarial Fooling? - Saumik Dana:
A simple framework for arriving at bounds on effective moduli in heterogeneous anisotropic poroelastic solids. - Aykut Çayir, Ugur Ünal, Hasan Dag:
Random CapsNet Forest Model for Imbalanced Malware Type Classification Task. - Yoeri E. Boink, Christoph Brune:
Learned SVD: solving inverse problems via hybrid autoencoding. - Qingyu Chen, Kyubum Lee, Shankai Yan, Sun Kim, Chih-Hsuan Wei, Zhiyong Lu:
BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale. - Preeti Sah, Ernest Fokoué:
What do Asian Religions Have in Common? An Unsupervised Text Analytics Exploration. - Fabian Ruffy, Karanbir Chahal:
The State of Knowledge Distillation for Classification. - Ta-Chun Su, Guan-Ying Chen:
ET-USB: Transformer-Based Sequential Behavior Modeling for Inbound Customer Service. - Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos:
"The Squawk Bot": Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering. - Andrea Bandini, José Zariffa:
Analysis of the hands in egocentric vision: A survey. - Jingbin Liu, Xinyang Gu, Shuai Liu, Dexiang Zhang:
Soft Q-network. - Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger:
On Simulation and Trajectory Prediction with Gaussian Process Dynamics. - Nathan de Lara, Thomas Bonald:
Spectral embedding of regularized block models. - Anand Kumar Mukhopadhyay, Naligala Moses Prabhakar, Divya Lakshmi Duggisetty, Indrajit Chakrabarti, Mrigank Sharad:
Intelligent Wireless Sensor Nodes for Human Footstep Sound Classification for Security Application. - Jian Zhu:
Probing the phonetic and phonological knowledge of tones in Mandarin TTS models. - Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang:
FasterSeg: Searching for Faster Real-time Semantic Segmentation. - Andrey Voynov, Artem Babenko:
RPGAN: GANs Interpretability via Random Routing. - Frederik Gossen, Bernhard Steffen:
Large Random Forests: Optimisation for Rapid Evaluation. - François Dubois, Pierre Lallemand, Mohamed Mahdi Tekitek:
Generalized bounce back boundary condition for the nine velocities two-dimensional lattice Boltzmann scheme. - Kun Shao, Zhentao Tang, Yuanheng Zhu, Nannan Li, Dongbin Zhao:
A Survey of Deep Reinforcement Learning in Video Games. - Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey:
PSNet: Parametric Sigmoid Norm Based CNN for Face Recognition. - Xin Chen, Lingxi Xie, Jun Wu, Qi Tian:
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild. - Waqar Ali, Heechul Yun:
Virtual Gang based Scheduling of Real-Time Tasks on Multicore Platforms. - Basile Van Hoorick:
Image Outpainting and Harmonization using Generative Adversarial Networks. - Berry Groisman, Michael Mc Gettrick, Mehdi Mhalla, Marcin Pawlowski:
How Quantum Information can improve Social Welfare. - Gabriele Ciaramella, Muhammad Hassan, Benjamin Stamm:
On the Scalability of the Parallel Schwarz Method in One-Dimension. - Michael Ellers, Michael Cochez, Tobias Schumacher, Markus Strohmaier, Florian Lemmerich:
Privacy Attacks on Network Embeddings. - Nuno C. Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff:
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition. - Felix Dangel, Frederik Kunstner, Philipp Hennig:
BackPACK: Packing more into backprop. - Tran Ba Trung, Huynh Thi Thanh Binh, Le Tien Thanh, Ly Trung Hieu, Pham Dinh Thanh:
Multifactorial Evolutionary Algorithm For Clustered Minimum Routing Cost Problem. - Tuukka Korhonen:
Potential Maximal Cliques Parameterized by Edge Clique Cover. - Ibrahim O. Sarumi, Khaled M. Furati, Abdul Q. M. Khaliq:
Highly Accurate Global Padé Approximations of Generalized Mittag-Leffler Function and its Inverse. - Martin W. Licht:
Symmetry and Invariant Bases in Finite Element Exterior Calculus. - Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song:
Data-Free Adversarial Distillation. - Marco Costanzo, Simon Stelter, Ciro Natale, Salvatore Pirozzi, Georg Bartels, Alexis Maldonado, Michael Beetz:
Manipulation Planning and Control for Shelf Replenishment. - James Ault, Josiah Hanna, Guni Sharon:
Learning an Interpretable Traffic Signal Control Policy. - Richard Li, Allan Jabri, Trevor Darrell, Pulkit Agrawal:
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning. - Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros:
CNN-generated images are surprisingly easy to spot... for now. - Ulysse Côté Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik J. Scheme, François Laviolette, Benoit Gosselin:
Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition. - Christophe Demko, Karell Bertet, Cyril Faucher, Jean-François Viaud, Sergei O. Kuznetsov:
Next Priority Concept: A new and generic algorithm computing concepts from complex and heterogeneous data. - Roben Castagna Lunardi, Regio A. Michelin, Charles V. Neu, Avelino F. Zorzo, Salil S. Kanhere:
Impact of consensus on appendable-block blockchain for IoT. - Regio A. Michelin, Nadeem Ahmed, Salil S. Kanhere, Aruna Seneviratne, Sanjay Jha:
Leveraging lightweight blockchain to establish data integrity for surveillance cameras. - Pengcheng Liao, Chuang Zhang, Xiaojun Chen, Xiaofei Zhou:
Improving Abstractive Text Summarization with History Aggregation. - Marcelo Arenas, Pablo Barceló, Mikaël Monet:
Counting Problems over Incomplete Databases. - Pullarao Maddu, Wayne Doherty, Ganesh Sistu, Isabelle Leang, Michal Uricár, Sumanth Chennupati, Hazem Rashed, Jonathan Horgan, Ciarán Hughes, Senthil Kumar Yogamani:
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System. - Olivier Delalleau, Maxim Peter, Eloi Alonso, Adrien Logut:
Discrete and Continuous Action Representation for Practical RL in Video Games. - Deven Shah, H. Andrew Schwartz, Dirk Hovy:
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview. - Xinsheng Xuan, Bo Peng, Wei Wang, Jing Dong:
Scalable Fine-grained Generated Image Classification Based on Deep Metric Learning. - Gian Maria Campedelli:
Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and Crime. - P. M. Krafft, Meg Young, Michael A. Katell, Karen Huang, Ghislain Bugingo:
Defining AI in Policy versus Practice. - Mikaël Monet, Dan Olteanu:
Towards Deterministic Decomposable Circuits for Safe Queries. - Stephen Jue, Philip N. Klein:
A near-linear time minimum Steiner cut algorithm for planar graphs. - Sagi Marcovich, Eitan Yaakobi:
Reconstruction of Strings from their Substrings Spectrum. - Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo:
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. - Ke Coby Wang, Michael K. Reiter:
Detecting stuffing of a user's credentials at her own accounts. - Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik:
Learning to Navigate Using Mid-Level Visual Priors. - Mauro Maggioni, Jason Miller, Ming Zhong:
Data-driven Discovery of Emergent Behaviors in Collective Dynamics. - Ryan Grgurich, Hugh T. Blair:
An uncertainty principle for neural coding: Conjugate representations of position and velocity are mapped onto firing rates and co-firing rates of neural spike trains. - Thorsten Hohage, Hans-Georg Raumer, Carsten Spehr:
Uniqueness of an inverse source problem in experimental aeroacoustics. - Hannes Uecker:
Using trullekrul in pde2path - anisotropic mesh adaptation for some Allen-Cahn models in 2D and 3D. - Felix Black, Philipp Schulze, Benjamin Unger:
Nonlinear Galerkin Model Reduction for Systems with Multiple Transport Velocities. - Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. - Evangelos Papapetrou, Aristidis Likas:
A Replication Strategy for Mobile Opportunistic Networks based on Utility Clustering. - Luca Piccolboni, Giuseppe Di Guglielmo, Luca P. Carloni:
PAGURUS: Low-Overhead Dynamic Information Flow Tracking on Loosely Coupled Accelerators. - Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko:
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. - Zhedong Zheng, Yi Yang:
Unsupervised Scene Adaptation with Memory Regularization in vivo. - S. Mohammad Mirbagheri, Howard J. Hamilton:
High Utility Interval-Based Sequences. - Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia:
Geometry-aware Generation of Adversarial and Cooperative Point Clouds. - Yifei Guo, Qianzhi Zhang, Zhaoyu Wang, Fankun Bu, Yuxuan Yuan:
Two-Layer Volt/VAR Control in Unbalanced Active Distribution Systems: Efficient Optimization and Accurate Tracking. - Tengfei Ma, Jie Chen:
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport. - Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia:
Cascading Convolutional Color Constancy. - Théo Pierron:
A Brooks-like result for graph powers. - Hong-lin Liao, Zhimin Zhang:
Analysis of adaptive BDF2 scheme for diffusion equations. - Lyndon Chan, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains. - Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang:
A Communication Efficient Vertical Federated Learning Framework. - Xinyu Zhang, Qiang Wang, Jian Zhang, Zhao Zhong:
Adversarial AutoAugment. - Xiao Zeng, Guowu Yang:
Computing the Number of Affine Equivalence Classes of Boolean Functions modulo Functions of Different Degrees. - Muyuan Fang, Qiang Wang, Zhao Zhong:
BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search. - Wanli Shi, Bin Gu, Xiang Li, Heng Huang:
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. - Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang:
a simple and effective framework for pairwise deep metric learning. - Youngjin Kim:
Supervised-learning-based Optimal Thermal Management in an Electric Vehicle. - Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin:
Stochastic Fairness and Language-Theoretic Fairness in Planning on Nondeterministic Domains. - Chenjun Xiao, Yifan Wu, Chen Ma, Dale Schuurmans, Martin Müller:
Learning to Combat Compounding-Error in Model-Based Reinforcement Learning. - Matthew J. Zahr, Andrew Shi, Per-Olof Persson:
Implicit shock tracking using an optimization-based, r-adaptive, high-order discontinuous Galerkin method. - Vikas Singh, Nishchal K. Verma:
An Entropy-based Variable Feature Weighted Fuzzy k-Means Algorithm for High Dimensional Data. - Mohamed Baza, Andrew Salazar, Mohamed Mahmoud, Mohamed M. Abdallah, Kemal Akkaya:
On Sharing Models Instead of Data using Mimic learning for Smart Health Applications. - Mark Ledwich, Anna Zaitsev:
Algorithmic Extremism: Examining YouTube's Rabbit Hole of Radicalization. - Zhou Zhai, Bin Gu, Xiang Li, Heng Huang:
Safe Sample Screening for Robust Support Vector Machine. - Zhimeng Zhong, Li Fan, Shibin Ge:
FDD Massive MIMO Uplink and Downlink Channel Reciprocity Properties: Full or Partial Reciprocity? - Murat Cubuktepe, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen, Ufuk Topcu:
Scenario-Based Verification of Uncertain MDPs. - Prahladh Harsha, Ramprasad Saptharishi:
A note on the elementary HDX construction of Kaufman-Oppenheim. - Rui Deng, Jing Zhou, Wenyi Zhang:
Bandlimited Communication With One-Bit Quantization and Oversampling: Transceiver Design and Performance Evaluation. - Feng Liang, Chen Lin, Ronghao Guo, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang:
Computation Reallocation for Object Detection. - Vikas Singh, Nishchal K. Verma:
mRMR-DNN with Transfer Learning for IntelligentFault Diagnosis of Rotating Machines. - Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen:
Ordered or Orderless: A Revisit for Video based Person Re-Identification. - Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Attention-Aware Answers of the Crowd. - Maria Chudnovsky, Stéphan Thomassé, Nicolas Trotignon, Kristina Vuskovic:
Maximum independent sets in (pyramid, even hole)-free graphs. - Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi:
Sample-Measurement Tradeoff in Support Recovery under a Subgaussian Prior. - Yao Saint Yen, Zhe Wei Chen, Ying Ren Guo, Meng Chang Chen:
Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network. - Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li:
Meta-Learning PAC-Bayes Priors in Model Averaging. - Peng Xu, Chaitanya K. Joshi, Xavier Bresson:
Multi-Graph Transformer for Free-Hand Sketch Recognition. - Valentino Servizi, Francisco C. Pereira, Marie Karen Anderson, Otto Anker Nielsen:
Mining User Behaviour from Smartphone data, a literature review. - Zhiqiang Gong, Weidong Hu, Xiaoyong Du, Ping Zhong, Panhe Hu:
Deep Manifold Embedding for Hyperspectral Image Classification. - Ahmad Sakor, Kuldeep Singh, Anery Patel, Maria-Esther Vidal:
FALCON 2.0: An Entity and Relation Linking Tool over Wikidata. - Shan Zhang, Hongbin Luo, Junling Li, Weisen Shi, Xuemin Shen:
Hierarchical Soft Slicing to Meet Multi-Dimensional QoS Demand in Cache-Enabled Vehicular Networks. - Stepan L. Kuznetsov:
Action Logic is Undecidable. - Hartmut Klauck, Debbie Lim:
The aBc Problem and Equator Sampling Renyi Divergences. - Reid McIlroy-Young, Ashton Anderson:
From Welcome New Gabbers to the Pittsburgh Synagogue Shooting: The Evolution of Gab. - Frederik Gossen, Marc Jasper, Alnis Murtovi, Bernhard Steffen:
Aggressive Aggregation: a New Paradigm for Program Optimization. - Roberto Bruzzese:
An Analisys of Application Logs with Splunk : developing an App for the synthetic analysis of data and security incidents. - Andrei G. Shvarts, Julien Vignollet, Vladislav A. Yastrebov:
Computational framework for monolithic coupling for thin fluid flow in contact interfaces. - Mazen Ali, Anthony Nouy:
Singular Value Decomposition in Sobolev Spaces: Part II. - Víctor Mayoral Vilches, Lander Usategui San Juan, Bernhard Dieber, Unai Ayucar Carbajo, Endika Gil-Uriarte:
Introducing the Robot Vulnerability Database (RVD). - Lakshmi Narayana, Sharayu Moharir, Nikhil Karamchandani:
RetroRenting: An Online Policy for Service Caching at the Edge. - Frederik Gossen, Alnis Murtovi, Philip Zweihoff, Bernhard Steffen:
ADD-Lib: Decision Diagrams in Practice. - Devarpita Sinha, Rajarshi Roy:
Deadline-aware Scheduling for Maximizing Information Freshness in Industrial Cyber-Physical System. - Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
TRADI: Tracking deep neural network weight distributions. - Khadija Bouraqia, Essaid Sabir, Mohamed Sadik, Latif Ladid:
Quality of Experience for Streaming Services: Measurements, Challenges and Insights. - Gal Cohensius, Reshef Meir, Roni Stern, Nadav Oved:
Bidding in Spades. - Fei Feng, Xiao-Jun Wu, Tianyang Xu, Josef Kittler, Xuefeng Zhu:
Adaptive Distraction Context Aware Tracking Based on Correlation Filter. - Daniel Bernau, Philip-William Grassal, Jonas Robl, Florian Kerschbaum:
Assessing differentially private deep learning with Membership Inference. - Haifan Yin, Haiquan Wang, Yingzhuang Liu, David Gesbert:
Addressing the curse of mobility in massive MIMO with Prony-based angular-delay domain channel predictions. - (Withdrawn) Audio-based automatic mating success prediction of giant pandas.
- Minh Triet Chau, Diego Esteves, Jens Lehmann:
Open-domain Event Extraction and Embedding for Natural Gas Market Prediction. - Indrava Roy, Sudharsan Vijayaraghavan, Sarath Jyotsna Ramaia, Areejit Samal:
Forman-Ricci curvature and Persistent homology of unweighted complex networks. - Yi-Xuan Wang, Xiao-Jun Wu, Xuefeng Zhu:
Robust Visual Tracking via Implicit Low-Rank Constraints and Structural Color Histograms. - Kamorudeen A. Amuda, Adesesan B. Adeyemo:
Customers Churn Prediction in Financial Institution Using Artificial Neural Network. - Rajarshi Bhattacharjee, Naresh Manwani:
Online Algorithms for Multiclass Classification using Partial Labels. - Yunfei Zheng, Badong Chen, Shiyuan Wang, Weiqun Wang:
Broad Learning System Based on Maximum Correntropy Criterion. - Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby:
Large Scale Learning of General Visual Representations for Transfer. - Zhenyong Zhang, Ruilong Deng, David K. Y. Yau, Peng Cheng, Jiming Chen:
Analysis of Moving Target Defense Against False Data Injection Attacks on Power Grid. - Yu Jiang, Manabu Machida, Norikazu Todoroki:
Diffuse optical tomography by simulated annealing via a spin Hamiltonian. - Christopher Beattie, Serkan Gugercin, Zoran Tomljanovic:
Sampling-free parametric model reduction for structured systems. - Cristian Guillermo Gebhardt, Marc Christian Steinbach, Dominik Schillinger, Raimund Rolfes:
A Framework for Data-Driven Computational Dynamics Based on Nonlinear Optimization. - Samith Abeywickrama:
Opportunistic Wireless Energy Beamforming using RSSI Feedback. - Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
Neural Shape Parsers for Constructive Solid Geometry. - Nathanaël Fijalkow:
Lower bounds for the state complexity of probabilistic languages and the language of prime numbers. - Vidal Attias, Luigi Vigneri, Vassil S. Dimitrov:
On the Decentralized Generation of theRSA Moduli in Multi-Party Settings. - Sacha Huriot-Tattegrain, Mehdi Mhalla:
Contextuality and Expressivity of Non-locality. 160-173 - Sergio Sainz-Palacios:
Flat combined Red Black Trees. - Abubakar Isa, Idris Abdulmumin:
Design and Comparison Migration between Ipv4 and Ipv6 Transition Techniques. - Hadi Zare, Mahdi Hajiabadi, Mahdi Jalili:
Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach. - Sihao Huang:
Towards Multicellular Biological Deep Neural Nets Based on Transcriptional Regulation. - Christopher J. Anders, Talmaj Marinc, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin:
Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans'ed. - Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Dominik Dold, Laura Kriener, Ákos Ferenc Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Fast and deep neuromorphic learning with time-to-first-spike coding. - Hau-Wen Huang:
Counting the geodesic cycles of a given length. - Grant Chung, Luc Desrosiers, Manav Gupta, Andrew Sutton, Kaushik Venkatadri, Ontak Wong, Goran Zugic:
Performance Tuning and Scaling Enterprise Blockchain Applications. - Hamid Karimi, Tyler Derr, Jiliang Tang:
Characterizing the Decision Boundary of Deep Neural Networks. - Florian Arnold, Ítalo Santana, Kenneth Sörensen, Thibaut Vidal:
PILS: Exploring high-order neighborhoods by pattern mining and injection. - Zeeshan Khan, Mukul Khanna, Shanmuganathan Raman:
FHDR: HDR Image Reconstruction from a Single LDR Image using Feedback Network. - Shuhao Fu, Chulin Xie, Bo Li, Qifeng Chen:
Attack-Resistant Federated Learning with Residual-based Reweighting. - Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu:
Dense RepPoints: Representing Visual Objects with Dense Point Sets. - Changan Chen, Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip W. Robinson, Kristen Grauman:
Audio-Visual Embodied Navigation. - Amir Ahmad, Srikanth Bezawada:
OCCER- One-Class Classification by Ensembles of Regression models. - Shizhan Lu:
Self-adaption grey DBSCAN clustering. - Chaolun Lu, Yongqiang Li, Zhongsheng Hou, Yuanjing Feng, Yu Feng, Ronghu Chi, Xuhui Bu:
Data-Driven Robust Stabilization with Robust DOA Enlargement for Nonlinear Systems. - Abolfazl Lavaei, Sadegh Soudjani, Majid Zamani:
Compositional Abstraction-based Synthesis for Networks of Stochastic Switched Systems. - Jesús Bonilla, Santiago Badia:
Monotonicity-preserving finite element schemes with adaptive mesh refinement for hyperbolic problems. - Jason Li, Merav Parter:
Planar Diameter via Metric Compression. - Konpat Preechakul, Boonserm Kijsirikul:
CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity. - Andrea Vázquez, Narciso López-López, Nicole Labra, Miguel E. Figueroa, Cyril Poupon, Jean-François Mangin, Cecilia Hernández, Pamela Guevara:
Parallel optimization of fiber bundle segmentation for massive tractography datasets. - Huile Xu, Yi Zhang, Christos G. Cassandras, Li Li, Shuo Feng:
A Bi-Level Cooperative Driving Strategy Allowing Lane Changes. - Abdulkadir Celik, Anas Chaaban, Basem Shihada, Mohamed-Slim Alouini:
Topology Optimization for 6G Networks: A Network Information-Theoretic Approach. - Siqi Zhou, Angela P. Schoellig:
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants. - Michael Felderer, Guilherme Horta Travassos:
The Evolution of Empirical Methods in Software Engineering. - Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew J. Marinella, Martin Foltin, John Paul Strachan, Dejan S. Milojicic, Wen-Mei W. Hwu, Kaushik Roy:
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM. - Michael Felderer, Ina Schieferdecker:
A taxonomy of risk-based testing. - Jialin Gao, Tong He, Xi Zhou, Shiming Ge:
Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition. - Zane Weissman, Thore Tiemann, Daniel Moghimi, Evan Custodio, Thomas Eisenbarth, Berk Sunar:
JackHammer: Efficient Rowhammer on Heterogeneous FPGA-CPU Platforms. - Francisco Erivaldo Fernandes Junior, Gary G. Yen:
Pruning Deep Neural Networks Architectures with Evolution Strategy. - Luca Pasqualini, Maurizio Parton:
Pseudo Random Number Generation: a Reinforcement Learning approach. - Flávio José Mendes Coelho:
Estudo comparativo de meta-heurísticas para problemas de colorações de grafos. - Muhammad Anas Imtiaz, David Starobinski, Ari Trachtenberg:
Characterizing Orphan Transactions in the Bitcoin Network. - Dror Simon, Aviad Aberdam:
Barycenters of Natural Images - Constrained Wasserstein Barycenters for Image Morphing. - Vassil S. Dimitrov, Luigi Vigneri, Vidal Attias:
Smooth Operator - The Use of Smooth Integers in Fast Generation of RSA Keys. - Markus Schedl, Christine Bauer:
Online Music Listening Culture of Kids and Adolescents: Listening Analysis and Music Recommendation Tailored to the Young. - Kevin Karsch, Varsha Hedau, David A. Forsyth, Derek Hoiem:
Rendering Synthetic Objects into Legacy Photographs. - Kevin Karsch, Zicheng Liao, Jason Rock, Jonathan T. Barron, Derek Hoiem:
Boundary Cues for 3D Object Shape Recovery. - Kevin Karsch, Mani Golparvar Fard, David A. Forsyth:
ConstructAide: Analyzing and Visualizing Construction Sites through Photographs and Building Models. - Kevin Karsch, David A. Forsyth:
Blind Recovery of Spatially Varying Reflectance from a Single Image. - Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha:
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks. - Hongwei Shi, Shengling Wang, Qin Hu, Xiuzhen Cheng, Junshan Zhang, Jiguo Yu:
Hopping-Proof and Fee-Free Pooled Mining in Blockchain. - Yining Xu, Sheng Zhou:
On the Coverage and Capacity of Ultra-Dense Networks with Directional Transmissions. - Ruichen Deng, Sheng Chen, Sheng Zhou, Zhisheng Niu, Wei Zhang:
Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications. - Muhammad Usman, Wenxi Wang, Kaiyuan Wang, Marko Vasic, Haris Vikalo, Sarfraz Khurshid:
A Study of the Learnability of Relational Properties (Model Counting Meets Machine Learning). - Wilmer Ariza Ramirez, Zhi Quan Leong, Hung Duc Nguyen, Shantha Gamini Jayasinghe:
Exploration of the Applicability of Probabilistic Inference for Learning Control in Underactuated Autonomous Underwater Vehicles. - Yi Liu, Tianyu Liang, Can Xu, Xianwei Zhang, Xianhong Chen, Wei-Qiang Zhang, Liang He, Dandan Song, Ruyun Li, Yangcheng Wu, Peng Ouyang, Shouyi Yin:
THUEE system description for NIST 2019 SRE CTS Challenge. - Feras M. Awaysheh, Mamoun Alazab, Maanak Gupta, Tomás F. Pena, José Carlos Cabaleiro:
Next-Generation Big Data Federation Access Control: A Reference Model. - Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang:
Neural Subgraph Isomorphism Counting. - Cullen O'Keefe, Peter Cihon, Ben Garfinkel, Carrick Flynn, Jade Leung, Allan Dafoe:
The Windfall Clause: Distributing the Benefits of AI for the Common Good. - Zheng Sun, Chi-Wang Shu:
Enforcing strong stability of explicit Runge-Kutta methods with superviscosity. - Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Hank Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari:
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures. - Zhenzhen Gu, Cungen Cao, Ya Wang, Yuefei Sui:
A Logical Model for Supporting Social Commonsense Knowledge Acquisition. - Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang:
Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization. - Hui Cao, Haikuan Du, Siyu Zhang, Shen Cai:
InSphereNet: a Concise Representation and Classification Method for 3D Object. - Rabeya Sadia, Md. Ataur Rahman, Md. Hanif Seddiqui:
N-gram Statistical Stemmer for Bangla Corpus. - Lu Huang, Gaofeng Cheng, Pengyuan Zhang, Yi Yang, Shumin Xu, Jiasong Sun:
Utterance-level Permutation Invariant Training with Latency-controlled BLSTM for Single-channel Multi-talker Speech Separation. - Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu:
Deep Graph Similarity Learning: A Survey. - Bin Liu, Xiuping Liu, Zhixin Yang, Charlie C. L. Wang:
Concise and Effective Network for 3D Human Modeling from Orthogonal Silhouettes. - Yeow Meng Chee, Johan Chrisnata, Tuvi Etzion, Han Mao Kiah:
Efficient Algorithm for the Linear Complexity of Sequences and Some Related Consequences. - Qijie Wei, Xirong Li, Weihong Yu, Xiao Zhang, Yongpeng Zhang, Bojie Hu, Bin Mo, Di Gong, Ning Chen, Dayong Ding, Youxin Chen:
Learn to Segment Retinal Lesions and Beyond. - Shengling Wang, Xidi Qu, Qin Hu, Weifeng Lv:
An Uncertainty- and Collusion-Proof Voting Consensus Mechanism in Blockchain. - Yuan Zheng, Suzhi Bi, Xiaohui Lin, Hui Wang:
Reusing Wireless Power Transfer for Backscatter-assisted Relaying in WPCNs. - Xu Tan, Yichong Leng, Jiale Chen, Yi Ren, Tao Qin, Tie-Yan Liu:
A Study of Multilingual Neural Machine Translation. - Zhiguang Zhang:
Ranking and Classification driven Feature Learning for Person Re_identification. - Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun:
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection. - Ke Zhang, Xinsheng Wang, Yurong Guo, Dongliang Chang, Zhenbing Zhao, Zhanyu Ma, Tony X. Han:
Competing Ratio Loss for Discriminative Multi-class Image Classification. - Julian Fischer, Dietmar Gallistl, Daniel Peterseim:
A priori error analysis of a numerical stochastic homogenization method. - Kanchana Ranasinghe, Sahan Liyanaarachchi, Harsha Ranasinghe, Mayuka Jayawardhana:
Extending Multi-Object Tracking systems to better exploit appearance and 3D information. - Ilia Zharikov, Filipp Nikitin, Ilia Vasiliev, Vladimir Dokholyan:
DDI-100: Dataset for Text Detection and Recognition. - Rohan Mahadev, Hongyu Lu:
Improving Visual Recognition using Ambient Sound for Supervision. - Yu Li, Sheng Tang, Rui Zhang, Yongdong Zhang, Jintao Li, Shuicheng Yan:
Asymmetric GAN for Unpaired Image-to-image Translation. - Boyu Ning, Zhi Chen, Wenrong Chen, Yiming Du, Jun Fang:
Channel Estimation and Hybrid Beamforming for Reconfigurable Intelligent Surfaces Assisted THz Communications. - Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philippe Fournier-Viger, Xuan Wang, Philip S. Yu:
Utility-Driven Mining of Trend Information for Intelligent System. - Yikai Zhu, Jianhao Shen, Ming Zhang:
Learning to Answer Ambiguous Questions with Knowledge Graph. - Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philip S. Yu:
Discovering High Utility Episodes in Sequences. - Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Philip S. Yu:
Utility Mining Across Multi-Sequences with Individualized Thresholds. - Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang:
Learning Controllable Disentangled Representations with Decorrelation Regularization. - Sajjad Mozaffari, Omar Y. Al-Jarrah, Mehrdad Dianati, Paul A. Jennings, Alexandros Mouzakitis:
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review. - Xiaoyang Li, Guangxu Zhu, Kaiming Shen, Wei Yu, Yi Gong, Kaibin Huang:
Joint Annotator-and-Spectrum Allocation in Wireless Networks for Crowd Labelling. - Rafael Valle, Fitsum A. Reda, Mohammad Shoeybi, Patrick LeGresley, Andrew Tao, Bryan Catanzaro:
Neural ODEs for Image Segmentation with Level Sets. - Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum:
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. - Siyu Xie, Yaqi Zhang, Lei Guo:
Learning and Prediction Theory of Distributed Least Squares. - Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. - Fahimeh Fooladgar, Shohreh Kasaei:
Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images. - Kshitij Singh, Pratik K. Bajaria:
Thermostatic control for demand response using distributed averaging and deep neural networks. - Zhenpei Yang, Siming Yan, Qixing Huang:
Extreme Relative Pose Network under Hybrid Representations. - Özlem Salehi:
Extended Models of Finite Automata. - Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Hybrid MemNet for Extractive Summarization. - Yijun Li, Lu Jiang, Ming-Hsuan Yang:
Controllable and Progressive Image Extrapolation. - Jan Graßhoff, Alexandra Jankowski, Philipp Rostalski:
Scalable Gaussian Process Regression for Kernels with a Non-Stationary Phase. - Qing Ping, Chaomei Chen:
Convolutional Quantum-Like Language Model with Mutual-Attention for Product Rating Prediction. - Md A. Noor, G. Kaptan, V. Cherukupally, Parush Gera, Tempestt J. Neal:
A Closer Look at Mobile App Usage as a Persistent Biometric: A Small Case Study. - Satoshi Hashizume, Ippei Suzuki, Kazuki Takazawa, Yoichi Ochiai:
Discussion of Intelligent Electric Wheelchairs for Caregivers and Care Recipients. - Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates:
Memory Augmented Graph Neural Networks for Sequential Recommendation. - Soheil Abbasloo, Chen-Yu Yen, H. Jonathan Chao:
Make TCP Great (again?!) in Cellular Networks: A Deep Reinforcement Learning Approach. - Haiyue Song, Raj Dabre, Atsushi Fujita, Sadao Kurohashi:
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation. - Qingshan Xu, Wenbing Tao:
Planar Prior Assisted PatchMatch Multi-View Stereo. - Xidi Qu, Shengling Wang, Qin Hu, Xiuzhen Cheng:
Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm. - Qingshan Xu, Wenbing Tao:
Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume. - Jen-Yu Liu, Yu-Hua Chen, Yin-Cheng Yeh, Yi-Hsuan Yang:
Score and Lyrics-Free Singing Voice Generation. - Deli Yan, Chunhui Wu, Weiming Wang, Yu Song, Shaohua Li:
Invariant Cubature Kalman Filter for Monocular Visual Inertial Odometry with Line Features. - Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu:
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning. - Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu:
Multi-Label Graph Convolutional Network Representation Learning. - Qi Zhang, Jiang Zhu, Ning Zhang, Zhiwei Xu:
Multidimensional Variational Line Spectra Estimation. - Longfei Li, Ziqi Liu, Chaochao Chen, Ya-Lin Zhang, Jun Zhou, Xiaolong Li:
A Time Attention based Fraud Transaction Detection Framework. - Rory P. Bunker, Teo Susnjak:
The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review. - Jianyue Zhu, Yongming Huang, Jiaheng Wang, Keivan Navaie, Zhiguo Ding:
Power Efficient IRS-Assisted NOMA. - Delong Zhu, Jianbang Liu, Nachuan Ma, Zhe Min, Max Q.-H. Meng:
Autonomous Removal of Perspective Distortion for Robotic Elevator Button Recognition. - Yongqiang Li, Chaolun Lu, Yinan Li, Zhongsheng Hou, Yu Feng, Yuanjing Feng:
Stabilization with Closed-loop DOA Enlargement: An Interval Analysis Approach. - Trishant Roy, Anindya Harchowdhury, Leena Vachhani:
Anytime Planning: A Motion Planner for Dynamic Environment. - Zhaorui Wang, Liang Liu, Shuguang Cui:
Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis. - Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. - Martin Suda, Sarah Winkler:
Proceedings of the Second International Workshop on Automated Reasoning: Challenges, Applications, Directions, Exemplary Achievements, ARCADE@CADE 2019, Natal, Brazil, August 26, 2019. EPTCS 311, 2019 [contents] - Xiaodong He, Zhiyong Geng:
Trajectory tracking control for nonholonomic mobile robots under arbitrary reference input. - Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard:
Performance benefits of Intel(R) OptaneTM DC persistent memory for the parallel processing of large neuroimaging data. - Raed Jaberi:
Twinless articulation points and some related problems. - Na Zhao, Tat-Seng Chua, Gim Hee Lee:
SESS: Self-Ensembling Semi-Supervised 3D Object Detection. - Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo:
Part I: Improving Computational Efficiency of Communication for Omniscience. - Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung:
Variational Metric Scaling for Metric-Based Meta-Learning. - Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo:
Part II: A Practical Approach for Successive Omniscience. - Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao:
Ranking Users in Social Networks with Motif-based PageRank. - Chao Guo, Kai Xu, Gangxiang Shen, Moshe Zukerman:
Temperature-Aware Virtual Data Center Embedding to Avoid Hot Spots in Data Centers. - Kirill P. Kalinin, Natalia G. Berloff:
Nonlinear systems for unconventional computing. - Hui Yuan, Xiaoqian Hu, Junhui Hou, Xuekai Wei, Sam Kwong:
An Ensemble Rate Adaptation Framework for Dynamic Adaptive Streaming Over HTTP. - Mustafizur Rahman Shahid, Gregory Blanc, Zonghua Zhang, Hervé Debar:
Anomalous Communications Detection in IoT Networks Using Sparse Autoencoders. - Ming-Min Zhao, Qingjiang Shi, Min-Jian Zhao:
Efficiency Maximization for UAV-Enabled Mobile Relaying Systems with Laser Charging. - Pierrick Chatillon, Coloma Ballester:
History-based Anomaly Detector: an Adversarial Approach to Anomaly Detection. - Matthieu Paul, Christoph Mayer, Luc Van Gool, Radu Timofte:
Efficient Video Semantic Segmentation with Labels Propagation and Refinement. - Le Yang, Yi Zhong, Fu-Chun Zheng, Shi Jin:
Edge Caching with Real-Time Guarantees. - Baris Yamansavascilar, Ahmet Cihat Baktir, Atay Ozgovde, Cem Ersoy:
Fault Tolerance in SDN Data Plane Considering Network and Application Based Metrics. - Amir Markovitz, Gilad Sharir, Itamar Friedman, Lihi Zelnik-Manor, Shai Avidan:
Graph Embedded Pose Clustering for Anomaly Detection. - Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu:
Benchmarking Adversarial Robustness. - Laurent Dillard, Yosuke Shinya, Taiji Suzuki:
Domain Adaptation Regularization for Spectral Pruning. - Aditi Sharma, Ravi Ranjan:
Software Effort Estimation using Neuro Fuzzy Inference System: Past and Present. - Issam Hammad, Kamal El-Sankary, Jason Gu:
A Comparative Study on Machine Learning Algorithms for the Control of a Wall Following Robot. - Susana Ladra, Miguel R. Luaces, José R. Paramá, Fernando Silva-Coira:
Space- and Time-Efficient Storage of LiDAR Point Clouds. - Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos, Antonis A. Argyros, Nick Bassiliades, Dimitris Plexousakis:
A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning. - Mikaël Monet:
Solving a Special Case of the Intensional vs Extensional Conjecture in Probabilistic Databases. - Fernando Silva-Coira, José R. Paramá, Susana Ladra, Juan-Ramón López, Gilberto Gutiérrez:
Efficient processing of raster and vector data. - Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon:
Hyperspectral and multispectral image fusion under spectrally varying spatial blurs - Application to high dimensional infrared astronomical imaging. - Tao Mei, Wei Zhang, Ting Yao:
Vision and Language: from Visual Perception to Content Creation. - Zelin Xu, Ke Chen, Kui Jia:
W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression. - Murari Mandal, Vansh Dhar, Abhishek Mishra, Santosh Kumar Vipparthi:
3DFR: A Swift 3D Feature Reductionist Framework for Scene Independent Change Detection. - Pradumn Kumar Pandey, Mayank Singh, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Analysis of Reference and Citation Copying in Evolving Bibliographic Networks. - Xingchen Wang, Shengtai Ju, Xiwen Zhang, Sharan Ramjee, Aly El Gamal:
Efficient Training of Deep Classifiers for Wireless Source Identification using Test SNR Estimates. - Ajinkya Tejankar, Hamed Pirsiavash:
A simple baseline for domain adaptation using rotation prediction. - Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Quasi-Newton Trust Region Policy Optimization. - Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song:
Category-Level Articulated Object Pose Estimation. - Somayeh Nemati, Delfim F. M. Torres:
A new spectral method based on two classes of hat functions for solving systems of fractional differential equations and an application to respiratory syncytial virus infection. - J. M. Landsberg, Mateusz Michalek:
Towards finding hay in a haystack: explicit tensors of border rank greater than 2.02m in Cm ⊗ Cm ⊗ Cm. - Elvira Albert, Jesús Correas, Pablo Gordillo, Guillermo Román-Díez, Albert Rubio:
GASOL: Gas Analysis and Optimization for Ethereum Smart Contracts. - Nils-Arne Dreier, Christian Engwer:
Strategies for the vectorized Block Conjugate Gradients method. - Vijai Jayadevan, Edward J. Delp, Zygmunt Pizlo:
Skeleton Extraction from 3D Point Clouds by Decomposing the Object into Parts. - Florian Streitbürger, Christian Engwer, Sandra May, Andreas Nüßing:
Monotonicity considerations for stabilized DG cut cell schemes for the unsteady advection equation. - Yen-Chia Hsu, Jennifer L. Cross, Paul Dille, Michael Tasota, Beatrice Dias, Randy Sargent, Ting-Hao Kenneth Huang, Illah R. Nourbakhsh:
Smell Pittsburgh: Engaging Community Citizen Science for Air Quality. - Yossi Arjevani, Michael Field:
Spurious Local Minima of Shallow ReLU Networks Conform with the Symmetry of the Target Model. - Antonio Fariña, Miguel A. Martínez-Prieto, Francisco Claude, Gonzalo Navarro, Juan J. Lastra-Díaz, Nicola Prezza, Diego Seco:
On the Reproducibility of Experiments of Indexing Repetitive Document Collections. - Alexandra Luccioni, Yoshua Bengio:
On the Morality of Artificial Intelligence. - Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madanlal Musuvathi:
EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation. - Seyed Vahid Mirnezami, Ali HamidiSepehr, Mahdi Ghaebi:
Apricot variety classification using image processing and machine learning approaches. - Hui Yuan, Huayong Fu, Ju Liu, Junhui Hou, Sam Kwong:
Non-Cooperative Game Theory Based Rate Adaptation for Dynamic Video Streaming over HTTP. - Flavio L. Duarte, Rodrigo C. de Lamare:
Study of Switched Max-Link Relay Selection for Cooperative Multiple-Antenna Systems. - Thomas Dowdell, Hongyu Zhang:
Is Attention All What You Need? - An Empirical Investigation on Convolution-Based Active Memory and Self-Attention. - Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, R. Venkatesh Babu:
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. - Ningxin Zheng, Quan Chen, Yong Yang, Wei Zhang, Jin Li, Wenli Zheng, Minyi Guo:
URSA: Precise Capacity Planning and Contention-aware Scheduling for Public Clouds. - Zhaofu Diao:
A single target tracking algorithm based on Generative Adversarial Networks. - Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash:
Efficient Adversarial Training with Transferable Adversarial Examples. - Natalia M. Arzeno, Haris Vikalo:
Evolutionary Clustering via Message Passing. - Muhammad Haroon Shakeel, Turki Alghamidi, Safi Faizullah, Imdadullah Khan:
Language Independent Sentiment Analysis. - Kexin Huang, Abhishek Singh, Sitong Chen, Edward T. Moseley, Chih-ying Deng, Naomi George, Charlotta Lindvall:
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation. - Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua:
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation. - Renzhi Wu, Sergey Sukhanov, Christian Debes:
Real Time Pattern Matching with Dynamic Normalization. - Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao:
Explicit Sentence Compression for Neural Machine Translation. - Weibo Shu, Yaqiang Yao, Huanhuan Chen:
Short Isometric Shapelet Transform for Binary Time Series Classification. - Yu-Tao Chang, Yuan-Hong Yang, Yu-Huai Peng, Syu-Siang Wang, Tai-Shih Chi, Yu Tsao, Hsin-Min Wang:
MoEVC: A Mixture-of-experts Voice Conversion System with Sparse Gating Mechanism for Accelerating Online Computation. - Ying He, Su-Jing Wang, Jingting Li, Moi Hoon Yap:
Spotting Macro- and Micro-expression Intervals in Long Video Sequences. - Yibin Wu:
Equations Derivation of VINS-Mono. - Evgeniy V. Martyushev:
Necessary and Sufficient Polynomial Constraints on Compatible Triplets of Essential Matrices. - Reihaneh Teymoori, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi:
An Abstraction Model for Semantic Segmentation Algorithms. - Zhili Feng, Praneeth Kacham, David P. Woodruff:
Strong Coresets for Subspace Approximation and k-Median in Nearly Linear Time. - Haishan Ye, Shusen Wang, Zhihua Zhang, Tong Zhang:
Fast Generalized Matrix Regression with Applications in Machine Learning. - Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu:
Synthesising Expressiveness in Peking Opera via Duration Informed Attention Network. - Xugang Lu, Peng Shen, Sheng Li, Yu Tsao, Hisashi Kawai:
Deep progressive multi-scale attention for acoustic event classification. - Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang:
Graduate Employment Prediction with Bias. - Pengcheng Yang, Boxing Chen, Pei Zhang, Xu Sun:
Visual Agreement Regularized Training for Multi-Modal Machine Translation. - Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao:
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach. - Fateme Mostafaie, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi:
A General Framework for Saliency Detection Methods. - Liangdong Lu, Wenping Ma, Luobin Guo:
Two families of Entanglement-assisted quantum MDS codes from constacyclic codes. - Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun:
Deep Learning for 3D Point Clouds: A Survey. - Ashutosh Bhatia, R. C. Hansdah:
A Two-Phase Scheme for Distributed TDMA Scheduling in WSNs with Flexibility to Trade-off between Schedule Length and Scheduling Time. - Davyd M. Kurbanmuradov, Volodymyr Sokolov, Volodymyr Astapenya:
Implementation of XTEA Encryption Protocol based on IEEE 802.15.4 Wireless Systems. - Xiao-Yun Cai, He-Feng Yin:
A sparsity augmented probabilistic collaborative representation based classification method. - Charles Clum, Dustin G. Mixon:
Derandomized compressed sensing with nonuniform guarantees for 𝓁1 recovery. - Kin Wai Cheuk, Hans Anderson, Kat Agres, Dorien Herremans:
nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks. - Yining Hu, Suranga Seneviratne, Kanchana Thilakarathna, Kensuke Fukuda, Aruna Seneviratne:
Characterizing and Detecting Money Laundering Activities on the Bitcoin Network. - Muhammad Ahmad, Muhammad Haroon Shakeel, Sarwan Ali, Imdadullah Khan, Arif Zaman, Asim Karim:
Efficient Data Analytics on Augmented Similarity Triplets. - Muhammad Haroon Shakeel, Asim Karim, Imdadullah Khan:
A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts. - Muhammad Ahmad, Sarwan Ali, Juvaria Tariq, Imdadullah Khan, Mudassir Shabbir, Arif Zaman:
Combinatorial Trace Method for Network Immunization. - Cesare Bracco, Durkbin Cho, Carlotta Giannelli, Rafael Vázquez Hernández:
BPX Preconditioners for Isogeometric Analysis Using (Truncated) Hierarchical B-splines. - Yaoshen Cui, Haifan Yin:
An Efficient CSI Acquisition Method for Intelligent Reflecting Surface-assisted mmWave Networks. - Mobina Mahdavi, Fahimeh Fooladgar, Shohreh Kasaei:
Pointwise Attention-Based Atrous Convolutional Neural Networks. - Alexander Bauer, Shinichi Nakajima:
Worst-Case Polynomial-Time Exact MAP Inference on Discrete Models with Global Dependencies. - Hongsen Liu, Yang Cong, Yandong Tang:
One Point, One Object: Simultaneous 3D Object Segmentation and 6-DOF Pose Estimation. - Simin Xu, Nan Yang, Biao He, Hamid Jafarkhani:
Coverage Analysis of Relay Assisted Millimeter Wave Cellular Networks with Spatial Correlation. - Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari:
Quaternion Equivariant Capsule Networks for 3D Point Clouds. - Linh Kästner, Vlad Catalin Frasineanu, Jens Lambrecht:
A 3D-Deep-Learning-based Augmented Reality Calibration Method for Robotic Environments using Depth Sensor Data. - Ali Borji, Sikun Lin:
White Noise Analysis of Neural Networks. - Linh Kästner, Jens Lambrecht:
Augmented-Reality-Based Visualization of Navigation Data of Mobile Robots on the Microsoft Hololens - Possibilities and Limitations. - Maarten G. Poirot, Praneeth Vepakomma, Ken Chang, Jayashree Kalpathy-Cramer, Rajiv Gupta, Ramesh Raskar:
Split Learning for collaborative deep learning in healthcare. - Xavier Rafael-Palou, Cecilia Turino, Alexander Steblin, Manuel Sánchez-de-la-Torre, Ferrán Barbé, Eloisa Vargiu:
Comparative Analysis of Predictive Methods for Early Assessment of Compliance with Continuous Positive Airway Pressure Therapy. - Daniel San Martín, Daniel Manzano:
A Deep Learning Model for Chilean Bills Classification. - Y. Alex Kolchinski, Sharon Zhou, Shengjia Zhao, Mitchell L. Gordon, Stefano Ermon:
Approximating Human Judgment of Generated Image Quality. - Soumya Sourav, Devashish Khulbe, Naman Kapoor:
Deep Learning Based Android Malware Detection Framework. - Mkhuseli Ngxande, Jules-Raymond Tapamo, Michael Burke:
Bias Remediation in Driver Drowsiness Detection systems using Generative Adversarial Networks. - Kilian Kleeberger, Christian Landgraf, Marco F. Huber:
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking. - Maxim Zaytsev, V'yacheslav Akkerman:
Towards identification of explicit solutions to overdetermined systems of differential equations. - Jyoti Maggu, Angshul Majumdar:
Kernel Transform Learning. - Anupriya Gogna, Angshul Majumdar:
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition. - Shreya Agrawal, Luke Barrington, Carla Bromberg, John Burge, Cenk Gazen, Jason Hickey:
Machine Learning for Precipitation Nowcasting from Radar Images. - Jiajie Ye, Yisheng Guan, Junfa Liu, Xinghong Huang, Hong Zhang:
Large-scale Multi-modal Person Identification in Real Unconstrained Environments. - Hyungki Kim, Duhwan Mun:
Deep-learning-based classification and retrieval of components of a process plant from segmented point clouds. - Bas Peters, Eldad Haber, Keegan Lensink:
Symmetric block-low-rank layers for fully reversible multilevel neural networks. - Zhao Zhang, Yulin Sun, Yang Wang, Zhengjun Zha, Shuicheng Yan, Meng Wang:
Convolutional Dictionary Pair Learning Network for Image Representation Learning. - Qiuchen Zhu, Manh Duong Phung, Quang Phuc Ha:
Crack Detection Using Enhanced Hierarchical Convolutional Neural Networks. - Jasper Volmer, Tom W. J. de Geus, Ron H. J. Peerlings:
Improving the initial guess for the Newton-Raphson protocol in time-dependent simulations. - Alain Brenzikofer:
encointer - An Ecological, Egalitarian and Private Cryptocurrency and Self-Sovereign Identity System. - (Withdrawn) A Secure Authentication Technique in Internet of Medical Things through Machine Learning.
- Kushal Singla, Niloy Mukherjee, Hari Manassery Koduvely, Joy Bose:
Evaluating Usage of Images for App Classification. - Eduardo Arnold, Mehrdad Dianati, Robert de Temple:
Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors. - Jianwu Fang, Dingxin Yan, Jiahuan Qiao, Jianru Xue:
DADA: A Large-scale Benchmark and Model for Driver Attention Prediction in Accidental Scenarios. - Andrés Fielbaum, Ignacio Morales, José Verschae:
A Water-Filling Primal-Dual Algorithm for Approximating Non-Linear Covering Problems. - Shuai Wang, Zhendong Su:
Metamorphic Testing for Object Detection Systems. - Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari:
Unsupervised Adversarial Image Inpainting. - Wenfeng Feng, Xin Zhang, Guangpeng Zhao:
ResNetX: a more disordered and deeper network architecture. - Dimitri Rothermel, Thomas Schuster, Roland Schorr, Martin Peglow:
Parameter estimation of temperature dependent material parameters in the cooling process of TMCP steel plates. - Tien-Ju Yang, Vivienne Sze:
Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators. - Chandranath Adak, Bidyut B. Chaudhuri, Chin-Teng Lin, Michael Blumenstein:
Intra-Variable Handwriting Inspection Reinforced with Idiosyncrasy Analysis. - Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang:
Image Analytics for Legal Document Review: A Transfer Learning Approach. - Woohyung Chun, Sung-Min Hong, Junho Huh, Inyup Kang:
Mitigating large adversarial perturbations on X-MAS (X minus Moving Averaged Samples). - Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Matthias Häberle, Yuansheng Hua, Rong Huang, Lloyd H. Hughes, Hao Li, Yao Sun, Guichen Zhang, Shiyao Han, Michael Schmitt, Yuanyuan Wang:
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification. - Khadijeh Afhamisisi, Hadi Shahriar Shahhoseini, Ehsan Meamari:
Defense against Lion Attack in Cognitive Radio Systems using the Markov Decision Process Approach. - Ehsan Meamari, Khadijeh Afhamisisi, Hadi Shahriar Shahhoseini:
Game-theory-based analysis on interactions among secondary and malicious users in coordinated jamming attack in cognitive radio systems. - Ehsan Meamari, Khadijeh Afhamisisi, Hadi Shahriar Shahhoseini:
An Analysis on Interactions among Secondary User and Unknown Jammer in Cognitive Radio Systems by Fictitious Play. - Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu:
Unsupervised Few-shot Learning via Self-supervised Training. - Tristan Sylvain, Linda Petrini, R. Devon Hjelm:
Locality and compositionality in zero-shot learning. - Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn, Tim Salimans:
Axial Attention in Multidimensional Transformers. - Jasdeep Singh Grover:
Differentiable Set Operations for Algebraic Expressions. - Chia-Mu Yu, Ching-Tang Chang, Yen-Wu Ti:
Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image Segmentation. - Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma:
Unsupervised Representation Learning by Predicting Random Distances. - Fayyaz ul Amir Afsar Minhas, Amina Asif:
Learning Neural Activations. - Utpal Bora, Santanu Das, Pankaj Kukreja, Saurabh Joshi, Ramakrishna Upadrasta, Sanjay V. Rajopadhye:
LLOV: A Fast Static Data-Race Checker for OpenMP Programs. - Piyush Gupta, Nikaash Puri, Sukriti Verma, Dhruv Kayastha, Shripad V. Deshmukh, Balaji Krishnamurthy, Sameer Singh:
Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency. - Boyi Liu, Lujia Wang, Ming Liu, Cheng-Zhong Xu:
Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data. - Wei Wang, Zhihui Wang, Haojie Li, Zhengming Ding:
Probabilistic Filtered Soft Labels for Domain Adaptation. - Claudio Durán, Aldo Acevedo, Sara Ciucci, Alessandro Muscoloni, Carlo V. Cannistraci:
Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity. - Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Gia-Tuan Nguyen:
Job Prediction: From Deep Neural Network Models to Applications. - Hao Tang, Dan Xu, Yan Yan, Philip H. S. Torr, Nicu Sebe:
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation. - Doganalp Ergenç, Ertan Onur:
On Network Traffic Forecasting using Autoregressive Models. - Abdullah M. Alshanqiti, Safi Faizullah, Sarwan Ali, Maria Khalid Alvi, Muhammad Asad Khan, Imdadullah Khan:
Detecting DDoS Attack on SDN Due to Vulnerabilities in OpenFlow. - Litan Kumar Das, Kumar Sankar Ray:
Bitopological Duality for Algebras of Fittings logic and Natural Duality extension. - Geethu Joseph, Chandra R. Murthy:
Controllability of Linear Dynamical Systems Under Input Sparsity Constraints. - Mohammadreza Darabi:
Securing Cluster-heads in Wireless Sensor Networks by a Hybrid Intrusion Detection System Based on Data Mining. - Juan Gutiérrez:
Transversals of Longest Cycles in Partial k-Trees and Chordal Graphs. - Xianxin Guo, Thomas D. Barrett, Zhiming M. Wang, A. I. Lvovsky:
End-to-end optical backpropagation for training neural networks. - Jon Barton, William J. Buchanan, Will Abramson, Nikolaos Pitropakis:
Performance Analysis of TLS for Quantum Robust Cryptography on a Constrained Device. - Sarwan Ali, Muhammad Haroon Shakeel, Imdadullah Khan, Safiullah Faizullah, Muhammad Asad Khan:
Predicting Attributes of Nodes Using Network Structure. - Yuwen Yang, Feifei Gao, Zhimeng Zhong, Bo Ai, Ahmed Alkhateeb:
Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems. - Siddharth Ancha, Junyu Nan, David Held:
Combining Deep Learning and Verification for Precise Object Instance Detection. - Jon Degenhardt, Surya Kallumadi, Utkarsh Porwal, Andrew Trotman:
Report on the SIGIR 2019 Workshop on eCommerce (ECOM19). - Amirhossein Ansari, Masoud Dadgar, Ali Hamzeh, Jörg Schlötterer, Michael Granitzer:
Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection. - Daewon Seo, Ravi Kiran Raman, Lav R. Varshney:
Social Learning with Beliefs in a Parallel Network. - Lourenço V. Pato, Renato M. P. Negrinho, Pedro M. Q. Aguiar:
Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization. - Agurtzane Amparan, Froilán M. Dopico, Silvia Marcaida, Ion Zaballa:
On minimal bases and indices of rational matrices and their linearizations. - Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl:
Learning by Cheating. - Vladislav Golyanik, Christian Theobalt:
A Quantum Computational Approach to Correspondence Problems on Point Sets. - Kevin Karsch, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, Hailin Jin, Rafael Fonte, Michael Sittig:
Automatic Scene Inference for 3D Object Compositing. - Anastasios Tsiamis, Nikolai Matni, George J. Pappas:
Sample Complexity of Kalman Filtering for Unknown Systems. - Benyou Wang, Donghao Zhao, Christina Lioma, Qiuchi Li, Peng Zhang, Jakob Grue Simonsen:
Encoding word order in complex embeddings. - Szymon Torunczyk:
Aggregate Queries on Sparse Databases. - Georgios S. Paschos, George Iosifidis, Giuseppe Caire:
Cache Optimization Models and Algorithms. - Richard Shin, Neel Kant, Kavi Gupta, Christopher Bender, Brandon Trabucco, Rishabh Singh, Dawn Song:
Synthetic Datasets for Neural Program Synthesis. - A. Ali Heydari, Craig A. Thompson, Asif Mehmood:
SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions. - Maria Rojo Gonz'alez, Simone Santini:
Structural characterization of musical harmonies. - Adam Humphries, Kartik Cating-Subramanian, Michael K. Reiter:
TASE: Reducing latency of symbolic execution with transactional memory. - Deli Yan, Wenkun Tuo, Weiming Wang, Shaohua Li:
Illumination Robust Loop Closure Detection with the Constraint of Pose. - Josh Payne, Ashish Kundu:
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems. - Josh Payne, Karan K. Budhraja, Ashish Kundu:
How Secure Is Your IoT Network? - Yingcheng Sun, Kenneth A. Loparo:
Knowledge-guided Text Structuring in Clinical Trials. - Dawei Cheng, Xiaoyang Wang, Ying Zhang, Shunzhang Wang:
VulnDS: Top-k Vulnerable SME Detection System in Networked-Loans. - Zhiqiang Gong, Ping Zhong, Weidong Hu:
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification. - Da Ju, Kurt Shuster, Y-Lan Boureau, Jason Weston:
All-in-One Image-Grounded Conversational Agents. - Jingtao Guo, Zhenzhen Qian, Zuowei Zhou, Yi Liu:
MulGAN: Facial Attribute Editing by Exemplar. - Siddhartha Nuthakki, Sunil Neela, Judy W. Gichoya, Saptarshi Purkayastha:
Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks. - Tieyun Qian, Yile Liang, Qing Li:
Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks. - Animesh Singh, Sandip Saha, Ritesh Sarkhel, Mahantapas Kundu, Mita Nasipuri, Nibaran Das:
A Genetic Algorithm based Kernel-size Selection Approach for a Multi-column Convolutional Neural Network. - Mohaned Chraiti, Dmitry Chizhik, Jinfeng Du, Reinaldo A. Valenzuela, Ali Ghrayeb, Chadi Assi:
Beamforming Learning for mmWave Communication: Theory and Experimental Validation. - Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi:
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks. - Debasis Dwibedy, Rakesh Mohanty, Arun Khamari:
Online Rainbow Coloring In Graphs. - Yang Lou, Lin Wang, Kim Fung Tsang, Guanrong Chen:
Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition. - Aldo Acevedo, Sara Ciucci, Ming-Ju Kuo, Claudio Durán, Carlo V. Cannistraci:
Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms. - Wei Xu, Ying Cui, Zhi Liu, Haoran Li:
Optimal Multi-View Video Transmission in OFDMA Systems. - Zhaoyi Wan, Minghang He, Haoran Chen, Xiang Bai, Cong Yao:
TextScanner: Reading Characters in Order for Robust Scene Text Recognition. - Yunquan Dong, Pingyi Fan, Khaled Ben Letaief:
Energy Harvesting Powered Sensing in IoT: Timeliness Versus Distortion. - Theofilos Triommatis, Aris Pagourtzis:
Approximate #Knapsack Computations to Count Semi-Fair Allocations. - Fiseha B. Tesema, Hong Wu, Mingjian Chen, Junpeng Lin, William Zhu, Kaizhu Huang:
Hybrid Channel Based Pedestrian Detection. - Kuo-Wei Lee, Shih-Hung Liu, Hwann-Tzong Chen, Koichi Ito:
Silhouette-Net: 3D Hand Pose Estimation from Silhouettes. - Pablo Barceló, Victor Dalmau, Cristina Feier, Carsten Lutz, Andreas Pieris:
The Limits of Efficiency for Open- and Closed-World Query Evaluation Under Guarded TGDs. - Dengming Xu:
Construction of mutually unbiased maximally entangled bases in C2s ⊗ C2s by using Galois rings. - Mordecai J. Golin, Sai Sandeep:
Minmax Regret for sink location on paths with general capacities. - Makrand A. Khanwale, Alec D. Lofquist, Hari Sundar, James A. Rossmanith, Baskar Ganapathysubramanian:
Simulating two-phase flows with thermodynamically consistent energy stable Cahn-Hilliard Navier-Stokes equations on parallel adaptive octree based meshes. - Donghua Chen:
An Open-Source Project for MapReduce Performance Self-Tuning. - Jeongju Sohn, Sungmin Kang, Shin Yoo:
Search Based Repair of Deep Neural Networks. - Alcardo Alex Barakabitze, Nabajeet Barman, Arslan Ahmad, Saman Zadtootaghaj, Lingfen Sun, Maria G. Martini, Luigi Atzori:
QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey. - Ali Sabet, Prakhar Gupta, Jean-Baptiste Cordonnier, Robert West, Martin Jaggi:
Robust Cross-lingual Embeddings from Parallel Sentences. - Keng Wah Loon, Laura Graesser, Milan Cvitkovic:
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning. - Song Tao, Jia Wang:
Alleviation for Gradient Exploding in GANs: Fake Can Be Real. - Manuel Arias Chao, Bryan T. Adey, Olga Fink:
Knowledge-Induced Learning with Adaptive Sampling Variational Autoencoders for Open Set Fault Diagnostics. - Johannes Rauh, Maik Schünemann:
Properties of Unique Information. - Chandramouli Shama Sastry, Sageev Oore:
Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices. - Ali Fadel, Ibraheem Tuffaha, Mahmoud Al-Ayyoub:
Tha3aroon at NSURL-2019 Task 8: Semantic Question Similarity in Arabic. - Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao:
Weak Supervision for Fake News Detection via Reinforcement Learning. - Antoine Yang, Pedro M. Esperança, Fabio Maria Carlucci:
NAS evaluation is frustratingly hard. - Dohyun Kim, Joshua Gluck, Malcolm Hall, Yuvraj Agarwal:
Real World Longitudinal iOS App Usage Study at Scale. - Karl Bringmann:
Approximating Subset Sum is equivalent to Min-Plus-Convolution. - Giacomo Bergami:
A framework supporting imprecise queries and data. - Ozan Ciga, Anne L. Martel:
Learning to segment images with classification labels. - C. P. Andriotis, K. G. Papakonstantinou, Eleni N. Chatzi:
Value of structural health monitoring quantification in partially observable stochastic environments. - Wenxin Li, Ness B. Shroff:
A Note on the Asymptotic Optimality of Work-Conserving Disciplines in Completion Time Minimization. - Jugal Garg, Pooja Kulkarni, Rucha Kulkarni:
Approximating Nash Social Welfare under Submodular Valuations through (Un)Matchings. - Hanwen Kang, Chao Chen:
Visual Perception and Modelling in Unstructured Orchard for Apple Harvesting Robots. - Sima Behpour:
Active Learning in Video Tracking. - Baoqian Wang, Junfei Xie, Kejie Lu, Yan Wan, Shengli Fu:
On Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems. - Zhihao Lei, Lin Qi, Ying Wei, Yunlong Zhou, Yunzhou Zhang:
Infant brain MRI segmentation with dilated convolution pyramid downsampling and self-attention. - Farhad Farokhi:
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification. - Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu:
Fine-grained Object Semantic Understanding from Correspondences. - Dheeru Dua, Ananth Gottumukkala, Alon Talmor, Sameer Singh, Matt Gardner:
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension. - Thomas Drugman, Baris Bozkurt, Thierry Dutoit:
Complex Cepstrum-based Decomposition of Speech for Glottal Source Estimation. - Thomas Drugman, Paavo Alku, Abeer Alwan, Bayya Yegnanarayana:
Glottal Source Processing: from Analysis to Applications. - Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan:
Towards Unified INT8 Training for Convolutional Neural Network. - Onur Babacan, Thomas Drugman, Nicolas D'Alessandro, Nathalie Henrich, Thierry Dutoit:
A Comparative Study of Pitch Extraction Algorithms on a Large Variety of Singing Sounds. - Alon Reshef, Benny Kimelfeld, Ester Livshits:
The Impact of Negation on the Complexity of the Shapley Value in Conjunctive Queries. - Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, Ion Stoica:
Hierarchical Variational Imitation Learning of Control Programs. - Pulkit Verma, Siddharth Srivastava:
Learning Generalized Models by Interrogating Black-Box Autonomous Agents. - Sherif Tarabishy, Stamatios Psarras, Marcin Kosicki, Martha Tsigkari:
Deep learning surrogate models for spatial and visual connectivity. - Berkay Demirel, Martí Sánchez-Fibla:
Speeding up reinforcement learning by combining attention and agency features. - José Mena, Oriol Pujol, Jordi Vitrià:
Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability. - Yuxiang Sun, Pooyan Fazli:
Real-time Policy Distillation in Deep Reinforcement Learning. - Marco Jerome Gasparrini, Martí Sánchez-Fibla:
Loss aversion fosters coordination among independent reinforcement learners. - Konstantinos Kogkalidis, Michael Moortgat, Richard Moot:
ÆTHEL: Automatically Extracted Type-Logical Derivations for Dutch. - Tzofnat Greenberg-Toledo, Ben Perach, Daniel Soudry, Shahar Kvatinsky:
MTJ-Based Hardware Synapse Design for Quantized Deep Neural Networks. - Mauro Barni, Quoc-Tin Phan, Benedetta Tondi:
Copy Move Source-Target Disambiguation through Multi-Branch CNNs. - Boyu Zhou, Fei Gao, Jie Pan, Shaojie Shen:
Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological Paths. - Bo-Christer Björk:
Scholarly journal publishing in transition: from restricted to open access. - Kwang Ho Kim, Junyop Choe, Sihem Mesnager:
Solving Xq+1+X+a=0 over Finite Fields. - Supriya Sarker, Md. Shahraduan Mazumder, Md. Sajedur Rahman, Md. Anayt Rabbi:
An assistive HCI system based on block scanning objects using eye blinks. - Washington L. S. Ramos, Michel Melo Silva, Edson Roteia Araujo Junior, Alan C. Neves, Erickson R. Nascimento:
Personalizing Fast-Forward Videos Based on Visual and Textual Features from Social Network. - Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang:
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection. - Osbert Bastani, Xin Zhang, Armando Solar-Lezama:
Synthesizing Queries via Interactive Sketching. - Takuro Fukunaga:
Adaptive Algorithm for Finding Connected Dominating Sets in Uncertain Graphs. - Wei-Han Chen, Fengqi You:
Efficient Greenhouse Temperature Control with Data-Driven Robust Model Predictive. - Yuzhou Zhang, Yi Mei:
Divide-and-Conquer Large Scale Capacitated Arc Routing Problems with Route Cutting Off Decomposition. - Marco Jerome Gasparrini, Ricard V. Solé, Martí Sánchez-Fibla:
Individual specialization in multi-task environments with multiagent reinforcement learners. - I-Hong Hou, Narges Zarnaghi Naghsh, Sibendu Paul, Y. Charlie Hu, Atilla Eryilmaz:
Predictive Scheduling for Virtual Reality. - Steven McElwee, James Cannady:
Cyber Situation Awareness with Active Learning for Intrusion Detection. - Haohang Xu, Hongkai Xiong, Guojun Qi:
FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers. - Lifu Zhang, Tarek S. Abdelrahman:
Pipelined Training with Stale Weights of Deep Convolutional Neural Networks. - Gurcan Comert, Zadid Khan, Mizanur Rahman, Mashrur Chowdhury:
Grey Models for Short-Term Queue Length Predictions for Adaptive Traffic Signal Control. - Bowen Xiao, Xiaoyi Fan, Sheng Gao, Wei Cai:
EdgeToll: A Blockchain-based Toll Collection System for Public Sharing of Heterogeneous Edges. - Zongxin Yang, Jian Dong, Ping Liu, Yi Yang, Shuicheng Yan:
Very Long Natural Scenery Image Prediction by Outpainting. - Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda:
A Gentle Introduction to Deep Learning for Graphs. - Jérémie Lagravière, Johannes Langguth, Mohammed Sourouri, Phuong Hoai Ha, Xing Cai:
On the Performance and Energy Efficiency of the PGAS Programming Model on Multicore Architectures. - Jérémie Lagravière, Johannes Langguth, Martina Prugger, Lukas Einkemmer, Phuong Hoai Ha, Xing Cai:
Performance optimization and modeling of fine-grained irregular communication in UPC. - Giovanni Pezzulo, Lucas Roche, Ludovic Saint-Bauzel:
Haptic communication optimises joint decisions and affords implicit confidence sharing. - Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis:
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks. - Steffen Wolf, Yuyan Li, Constantin Pape, Alberto Bailoni, Anna Kreshuk, Fred A. Hamprecht:
The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation. - Mirza Ramicic, Andrea Bonarini:
Augmented Replay Memory in Reinforcement Learning With Continuous Control. - Steven W. Chen, Guilherme V. Nardari, Elijah S. Lee, Chao Qu, Xu Liu, Roseli A. F. Romero, Vijay Kumar:
SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory. - Rachael T. Keller, Qiang Du:
Discovery of Dynamics Using Linear Multistep Methods. - Jean Daniel Mukam, Antoine Tambue:
Strong convergence of the backward Euler approximation for the finite element discretization of semilinear parabolic SPDEs with non-global Lipschitz drift driven by additive noise. - Mingyuan Jiu, Hichem Sahbi:
Deep Context-Aware Kernel Networks. - Rock S. Koffi, Antoine Tambue:
Convergence of the Two Point Flux Approximation and a novel fitted Two-Point Flux Approximation method for pricing options. - Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, Torsten Hoefler:
Practice of Streaming and Dynamic Graphs: Concepts, Models, Systems, and Parallelism. - Rock Stephane Koffi, Antoine Tambue:
A fitted L-Multi-point Flux Approximation method for pricing options. - Alan D. Fekete, Brody Franks, Herbert Jordan, Bernhard Scholz:
Worst-Case Optimal Radix Triejoin. - Ron M. Roth, Paul H. Siegel:
On Parity-Preserving Constrained Coding. - Andrey Y. Lokhov, David Saad:
Scalable Influence Estimation Without Sampling. - Aurelien Junior Noupelah, Antoine Tambue:
Optimal strong convergence rates of some Euler-type timestepping schemes for the finite element discretization SPDEs driven by additive fractional Brownian motion and Poisson random measure. - Manoel B. Campêlo, Daniel Severín:
An integer programming approach for solving a generalized version of the Grundy domination number. - Yue Pan:
Target-less registration of point clouds: A review. - Brittany Terese Fasy, Samuel Micka, David L. Millman, Anna Schenfisch, Lucia Williams:
Persistence Diagrams for Efficient Simplicial Complex Reconstruction. - Hemal Naik, Renaud Bastien, Nassir Navab, Iain D. Couzin:
Animals in Virtual Environments. - Pratyush Dayal, Neeldhara Misra:
Deleting to Structured Trees. - Nils Holzenberger, Raman Arora:
Multiview Representation Learning for a Union of Subspaces. - Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn:
Learning Predictive Models From Observation and Interaction. - Weinan E, Chao Ma, Lei Wu:
Machine Learning from a Continuous Viewpoint. - Rachel Domagalski, Zachary P. Neal, Bruce E. Sagan:
backbone: An R Package for Backbone Extraction of Weighted Graphs. - Stefan Zellmann:
Adding Custom Intersectors to the C++ Ray Tracing Template Library Visionaray. - Raed Jaberi:
Computing 2-twinless blocks. - Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan L. Yuille:
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots. - Qinghe Jing, Weiyan Wang, Junxue Zhang, Han Tian, Kai Chen:
Quantifying the Performance of Federated Transfer Learning. - Jie Wu, Ying Peng, Chenghao Zheng, Zongbo Hao, Jian Zhang:
PMC-GANs: Generating Multi-Scale High-Quality Pedestrian with Multimodal Cascaded GANs. - Varun Gangal, Abhinav Arora, Arash Einolghozati, Sonal Gupta:
Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection In Task Oriented Dialog. - Yao Tang, Man Hon Cheung, Tat-Ming Lok:
Trajectory Design for Multiple-UAV Assisted Wireless Networks. - Junhan Kim, Jian Wang, Luong Trung Nguyen, Byonghyo Shim:
Joint Sparse Recovery Using Signal Space Matching Pursuit. - Fang Liang, Wenjun Peng, Qinghao Liu, Haijin Wang:
Rethinking Convolutional Features in Correlation Filter Based Tracking. - Xiaojie Jin, Jiang Wang, Joshua Slocum, Ming-Hsuan Yang, Shengyang Dai, Shuicheng Yan, Jiashi Feng:
RC-DARTS: Resource Constrained Differentiable Architecture Search. - Yijun Xiao, William Yang Wang:
Disentangled Representation Learning with Wasserstein Total Correlation. - Jixiang Li, Chuming Liang, Bo Zhang, Zhao Wang, Fei Xiang, Xiangxiang Chu:
Neural Architecture Search on Acoustic Scene Classification. - Feng Xiao, Qiang Xu:
ICSTrace: A Malicious IP Traceback Model for Attacking Data of Industrial Control System. - Hossein Esmaeili, Ali Kariminezhad, Aydin Sezgin:
Robust Transceiver Design for Full-Duplex Decode-and-Forward Relay-Assisted MIMO Systems. - Jing Hao, Han Huang, Galyna V. Livshyts, Konstantin E. Tikhomirov:
Distribution of the minimal distance of random linear codes. - Ian A. Delbridge, David S. Bindel, Andrew Gordon Wilson:
Randomly Projected Additive Gaussian Processes for Regression. - Baobao Zhang, Allan Dafoe:
U.S. Public Opinion on the Governance of Artificial Intelligence. - Leszek Siwik, Marcin Los, Adrian Klusek, Keshav Pingali, Witold Dzwinel, Maciej Paszynski:
Supermodeling of tumor dynamics with parallel isogeometric analysis solver. - Gianluca Curzi, Luca Roversi:
A type-assignment of linear erasure and duplication. - Thomas Drugman, Baris Bozkurt, Thierry Dutoit:
Causal-Anticausal Decomposition of Speech using Complex Cepstrum for Glottal Source Estimation. - Xianfeng Liang, Shuheng Shen, Jingchang Liu, Zhen Pan, Enhong Chen, Yifei Cheng:
Variance Reduced Local SGD with Lower Communication Complexity. - Mateusz Krzysztof Tarkowski, Tomasz P. Michalak, Michael J. Wooldridge:
A Game-Theoretic Algorithm for Link Prediction. - Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Pareto Multi-Task Learning. - Hao Ge, Xiaoguang Tu, Mei Xie, Zheng Ma:
Defending from adversarial examples with a two-stream architecture. - Xin Zhou, Dejing Dou, Boyang Li:
Searching for Stage-wise Neural Graphs In the Limit. - Sofia Dokuka, Ivan Zaikin, Kate Furman, Maksim Tsvetovat, Alex Furman:
Wisdom of collaborators: a peer-review approach to performance appraisal. - (Withdrawn) Text Steganalysis with Attentional LSTM-CNN.
- Jiaxin Xie, Chenyang Lei, Zhuwen Li, Li Erran Li, Qifeng Chen:
Video Depth Estimation by Fusing Flow-to-Depth Proposals. - Uwe D. Hanebeck:
Deterministic Sampling of Multivariate Densities based on Projected Cumulative Distributions. - Filiz Gurkan, Bilge Günsel:
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking. - Trupil Limbasiya, Debasis Das, Sanjay K. Sahay:
Secure Communication Protocol for Smart Transportation Based on VC]Secure Communication Protocol for Smart Transportation Based on Vehicular Cloud. - Thomas Drugman, Alexis Moinet, Thierry Dutoit, Geoffrey Wilfart:
Using a Pitch-Synchronous Residual Codebook for Hybrid HMM/Frame Selection Speech Synthesis. - Ling Luo, Dingyu Xue, Xinglong Feng, Yichun Yu, Peng Wang:
Real-time Segmentation and Facial Skin Tones Grading. - Philippe Balbiani, Joseph Boudou, Martín Diéguez, David Fernández-Duque:
Intuitionistic Linear Temporal Logics. - Joseph Boudou, Martín Diéguez, David Fernández-Duque, Philip Kremer:
Exploring the Jungle of Intuitionistic Temporal Logics. - Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Jiashi Feng:
PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection. - Sashank Tirumala, Aditya Sagi, Kartik Paigwar, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya:
Gait Library Synthesis for Quadruped Robots via Augmented Random Search. - Christos N. Efrem, Athanasios D. Panagopoulos:
Globally Optimal Selection of Ground Stations in Satellite Systems with Site Diversity. - Sonia Jawaid Shaikh, Ignacio Cruz:
'Alexa, Do You Know Anything?' The Impact of an Intelligent Assistant on Team Interactions and Creative Performance Under Time Scarcity. - Yunling Ma, Chengqing Li:
Cryptanalysis of an Image Block Encryption Algorithm Based on Chaotic Maps. - Masatoshi Hanai, Georgios Theodoropoulos:
Performance Evaluation of Dynamic Scaling on MPI. - Henrik Barthels, Christos Psarras, Paolo Bientinesi:
Linnea: Automatic Generation of Efficient Linear Algebra Programs. - Lei Feng, Bo An:
Learning from Multiple Complementary Labels. - Régis Pierrard, Jean-Philippe Poli, Céline Hudelot:
A New Approach for Explainable Multiple Organ Annotation with Few Data. - Johann Sawatzky, Olga Zatsarynna, Juergen Gall:
Discovering Latent Classes for Semi-Supervised Semantic Segmentation. - Kilian Hendrickx, Wannes Meert, Yves Mollet, Johan Gyselinck, Bram Cornelis, Konstantinos C. Gryllias, Jesse Davis:
A general anomaly detection framework for fleet-based condition monitoring of machines. - Seong-Ho Kwon, Zhiyong Sun, Brian D. O. Anderson, Hyo-Sung Ahn:
Hybrid distance-angle rigidity theory with signed constraints and its applications to formation shape control. - Liu Ke, Udit Gupta, Carole-Jean Wu, Benjamin Youngjae Cho, Mark Hempstead, Brandon Reagen, Xuan Zhang, David M. Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang:
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. - Claudia Schon, Sophie Siebert, Frieder Stolzenburg:
Using ConceptNet to Teach Common Sense to an Automated Theorem Prover. 19-24 - Giles Reger:
Boldly Going Where No Prover Has Gone Before. 37-41 - Naveen Sundar Govindarajulu, Selmer Bringsjord, Matthew Peveler:
On Quantified Modal Theorem Proving for Modeling Ethics. 43-49 - Christoph Weidenbach:
The Challenge of Unifying Semantic and Syntactic Inference Restrictions. 5-10 - Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou:
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework. - Alexei Yu. Uteshev, Elizaveta A. Semenova:
Geometry and Analytics of the Multifacility Weber Problem. - Nazgol Hor, Shervan Fekri Ershad:
Image retrieval approach based on local texture information derived from predefined patterns and spatial domain information. - Daoyuan Wu, Debin Gao, David Lo:
Scalable Online Vetting of Android Apps for Measuring Declared SDK Versions and Their Consistency with API Calls. - Jay Damask:
A Consistently Oriented Basis for Eigenanalysis. - Lucas V. R. Alves, Patrícia N. Pena, Ricardo H. C. Takahashi:
Planning on Discrete Event Systems Using Parallelism Maximization. - Zhiyi Cheng, Xiatian Zhu, Shaogang Gong:
Characteristic Regularisation for Super-Resolving Face Images. - Mostafa Rahmani, Ping Li:
Outlier Detection and Data Clustering via Innovation Search. - Laura Kinkead, Ahmed Allam, Michael Krauthammer:
AutoDiscern: Rating the Quality of Online Health Information with Hierarchical Encoder Attention-based Neural Networks. - Zhe Wu, Zuxuan Wu, Bharat Singh, Larry S. Davis:
Recognizing Instagram Filtered Images with Feature De-stylization. - Gustavo Henrique de Rosa, João P. Papa:
Opytimizer: A Nature-Inspired Python Optimizer. - Federico Benvenuto, Bangti Jin:
A Parameter Choice Rule for Tikhonov Regularization Based on Predictive Risk. - Marwin H. S. Segler:
World Programs for Model-Based Learning and Planning in Compositional State and Action Spaces. - Yun He, Jianling Wang, Wei Niu, James Caverlee:
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. - Donsub Rim, Benjamin Peherstorfer, Kyle T. Mandli:
Manifold Approximations via Transported Subspaces: Model reduction for transport-dominated problems. - Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson:
Semi-Supervised Learning with Normalizing Flows. - Yun He, Yin Zhang, Weiwen Liu, James Caverlee:
Consistency-Aware Recommendation for User-Generated ItemList Continuation. - José M. Maisog, Wenhong Li, Yanchun Xu, Brian Hurley, Hetal Shah, Ryan Lemberg, Tina Borden, Stephen Bandeian, Melissa Schline, Roxanna Cross, Alan Spiro, Russ Michael, Alexander Gutfraind:
Using massive health insurance claims data to predict very high-cost claimants: a machine learning approach. - Daniel Hsu:
A New Framework for Query Efficient Active Imitation Learning. - Edward Raff, Charles Nicholas, Mark McLean:
A New Burrows Wheeler Transform Markov Distance. - Michael Mogessie Ashenafi:
Online Peer-Assessment Datasets. - Lechao Xiao, Jeffrey Pennington, Samuel S. Schoenholz:
Disentangling trainability and generalization in deep learning. - Muhammad Abdul-Mageed, Chiyu Zhang, Azadeh Hashemi, El Moatez Billah Nagoudi:
AraNet: A Deep Learning Toolkit for Arabic Social Media. - Hesham Mostafa:
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters. - Changhao Chen, Stefano Rosa, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion. - Sean MacAvaney, Luca Soldaini, Nazli Goharian:
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning. - Atef Chaudhury, Makarand Tapaswi, Seung Wook Kim, Sanja Fidler:
The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries. - Zheng Sun, Yulong Xing:
On structure-preserving discontinuous Galerkin methods for Hamiltonian partial differential equations: Energy conservation and multi-symplecticity. - Herbert Egger, Mania Sabouri:
On the structure preserving high-order approximation of quasistatic poroelasticity. - Peng Liao, Predrag V. Klasnja, Susan A. Murphy:
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health. - Daniel P. Robinson, René Vidal, Chong You:
Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis. - Silvia Gazzola, Misha E. Kilmer, James G. Nagy, Oguz Semerci, Eric L. Miller:
An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction. - Xiaotong Liu, Yingbei Tong, Anbang Xu, Rama Akkiraju:
An Empirical Study of Factors Affecting Language-Independent Models. - Jennifer A. Hobbs, Matthew Holbrook, Nathan Frank, Long Sha, Patrick Lucey:
Improved Structural Discovery and Representation Learning of Multi-Agent Data. - Vivek Kumar Gupta:
"Hinglish" Language - Modeling a Messy Code-Mixed Language. - László Kozma:
Exact exponential algorithms for two poset problems. - Deepesh Toshniwal, Nelly Villamizar:
Dimension of polynomial splines of mixed smoothness on T-meshes. - Masahito Hayashi, Ángeles Vázquez-Castro:
Physical Layer Security Protocol for Poisson Channels for Passive Man-in-the-middle Attack. - Andrés García-Camino:
Towards Regulated Deep Learning. - Brett Thomas Lopez, Jean-Jacques E. Slotine:
Contraction Metrics in Adaptive Nonlinear Control. - Yuwen Huang, Yuan Liu, Fangjiong Chen:
NOMA-Aided Mobile Edge Computing via User Cooperation. - Jianhui Nie, Wenkai Shi, Ye Liu, Hao Gao, Feng Xu, Zhaochen Zhang, Guoping Jiang:
Bas-relief Generation from Point Clouds Based on Normal Space Compression with Real-time Adjustment on CPU. - Thuan Nguyen, Thinh Nguyen:
Minimizing Impurity Partition Under Constraints. - Badri N. Patro, Dev Chauhan, Vinod K. Kurmi, Vinay P. Namboodiri:
Revisiting Paraphrase Question Generator using Pairwise Discriminator. - Dingju Zhu:
Hiding Information in Big Data based on Deep Learning. - Ehsan Khodabandeh, Lawrence V. Snyder, John Dennis, Joshua Hammond, Cody Wanless:
C. H. Robinson Uses Heuristics to Solve Rich Vehicle Routing Problems. - Ibrahim Gashaw, H. L. Shashirekha:
Amharic-Arabic Neural Machine Translation. - Hufei Zhu:
Efficient Decremental Learning Algorithms for Broad Learning System. - Sajjad Abbasi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi:
Modeling Teacher-Student Techniques in Deep Neural Networks for Knowledge Distillation. - Mengting Chen, Yuxin Fang, Xinggang Wang, Heng Luo, Yifeng Geng, Xinyu Zhang, Chang Huang, Wenyu Liu, Bo Wang:
Diversity Transfer Network for Few-Shot Learning. - Emad Malekhosseini, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi:
Modeling Neural Architecture Search Methods for Deep Networks. - Robert B. Allen:
Definitions and Semantic Simulations Based on Object-Oriented Analysis and Modeling. - Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection. - Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi:
CASE: Context-Aware Semantic Expansion. - Ali HamidiSepehr, Seyed Vahid Mirnezami, James Ward:
Comparison of object detection methods for crop damage assessment using deep learning. - Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
AdderNet: Do We Really Need Multiplications in Deep Learning? - Erfan Amini, Sayyed Taghi Omid Naeeni, Pedram Ghaderi:
Investigating Wave Energy Potential in Southern Coasts of the Caspian Sea and Evaluating the Application of Gray Wolf Optimizer Algorithm. - Shuyan Hu, Xiaojing Chen, Wei Ni, Xin Wang, Ekram Hossain:
Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey. - Suchet Sapre, Pouyan Ahmadi, Khondkar R. Islam:
A Robust Comparison of the KDDCup99 and NSL-KDD IoT Network Intrusion Detection Datasets Through Various Machine Learning Algorithms. - Francesco Orabona:
A Modern Introduction to Online Learning. - Mahdi Ahmadi, Nader Karimi, Shadrokh Samavi:
Image Seam-Carving by Controlling Positional Distribution of Seams. - Joackim Bernier, Nicolas Crouseilles, Yingzhe Li:
Exact splitting methods for kinetic and Schr{ö}dinger equations. - Frédéric Nataf:
Mathematical Analysis of Robustness of Two-Level Domain Decomposition Methods with respect to Inexact Coarse Solves. - Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang:
Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. - Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu:
Leveraging Semi-Supervised Learning for Fairness using Neural Networks. - Alex Borisevich:
Series Resonant Matrix Converter Topology for EV DC Fast Charging. - Philippe Schlattner, Pavol Bielik, Martin T. Vechev:
Learning to Infer User Interface Attributes from Images. - Lubomír Bañas, Giorgio Ferrari, Tsiry Avisoa Randrianasolo:
Numerical approximation of the value of a stochastic differential game with asymmetric information. - Erel Segal-Halevi:
Quasilinear Rental Harmony. - Lanfei Wang, Lingxi Xie, Tianyi Zhang, Jun Guo, Qi Tian:
Scalable NAS with Factorizable Architectural Parameters. - Yuan Gao, Yiqiang Han:
Automated Testing for Deep Learning Systems with Differential Behavior Criteria. - Andrew Adamatzky, Phil Ayres, Gianluca Belotti, Han A. B. Wosten:
Fungal architecture. - Gianluca Baldassarre:
Intrinsic motivations and open-ended learning. - Albrecht Kurze, Arne Berger, Teresa Denefleh:
From Ideation to Implications: Directions for the Internet of Things in the Home. - Shervin Rahimzadeh Arashloo:
Unseen Face Presentation Attack Detection Using Class-Specific Sparse One-Class Multiple Kernel Fusion Regression. - Jure Slak, Gregor Kosec:
Medusa: A C++ Library for solving PDEs using Strong Form Mesh-Free methods. - Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant:
oLMpics - On what Language Model Pre-training Captures. - Ömer Gürsoy, Kamal Adli Mehr, Nail Akar:
The MAP/M/s+G Call Center Model with General Patience Times: Stationary Solutions and First Passage Times. - Amotz Bar-Noy, Keerti Choudhary, David Peleg, Dror Rawitz:
Graph Realizations: Maximum and Minimum Degree in Vertex Neighborhoods. - Amotz Bar-Noy, Keerti Choudhary, David Peleg, Dror Rawitz:
Efficiently Realizing Interval Sequences. - Kui Du, Xiaohui Sun:
A doubly stochastic block Gauss-Seidel algorithm for solving linear equations. - Godfred Yaw Koi-Akrofi:
IT Project Governance in Project Delivery: Key Processes, Activities, Roles and Responsibilities. - Jarek Duda:
Nearly accurate solutions for Ising-like models using Maximal Entropy Random Walk. - Yeow Meng Chee, Duc Tu Dao, Han Mao Kiah, San Ling, Hengjia Wei:
Robust Positioning Patterns with Low Redundancy. - Nikos Barakitis, Sven-Erik Ekström, Paris Vassalos:
Preconditioners for Fractional Diffusion Equations Based on the Spectral Symbol. - Spencer Smith, Mojdeh Sayari Nejad, Alan Wassyng:
Building Confidence in Scientific Computing Software Via Assurance Cases. - Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi:
Fitted Q-Learning in Mean-field Games. - Archana Arbind, J. N. Reddy, Arun R. Srinivasa:
A general higher-order shell theory for compressible isotropic hyperelastic materials using orthonormal moving frame. - Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou:
LayoutLM: Pre-training of Text and Layout for Document Image Understanding. - Xavier Marjou:
OTEANN: Estimating the Transparency of Orthographies with an Artificial Neural Network. - Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes:
Unsupervised Detection of Sub-events in Large Scale Disasters. - Melina A. Freitag:
Numerical Linear Algebra in Data Assimilation. - Kyle Richardson, Ashish Sabharwal:
What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge. - Huangxin Chen, Shuyu Sun:
A new physics-preserving IMPES scheme for incompressible and immiscible two-phase flow in heterogeneous porous media. - Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, Zhenan Sun:
Learning 3D Human Shape and Pose from Dense Body Parts. - Muhammad Anis Al Hilmi, Muhamad Mustamiin, Achmad Nagi, Adi Suheryadi, Fachrul Pralienka Bani Muhammad:
Uji Performa dan Website Responsiveness Institusi dan Smart City se-Jawa Barat. - Raed Jaberi:
2-edge-twinless blocks. - Alexandre Hannud Abdo, Jean-Philippe Cointet, Pascale Bourret, Alberto Cambrosio:
Domain-topic models with chained dimensions: modeling the evolution of a major oncology conference (1995-2017). - Achraf Bahamou, Donald Goldfarb:
A Dynamic Sampling Adaptive-SGD Method for Machine Learning. - Brian H. Yang, Dinesh Jayaraman, Glen Berseth, Alexei A. Efros, Sergey Levine:
Morphology-Agnostic Visual Robotic Control. - Ali Lotfi-Rezaabad, Sriram Vishwanath:
Learning Representations by Maximizing Mutual Information in Variational Autoencoder. - Umid Suleymanov, Behnam Kiani Kalejahi, Elkhan Amrahov, Rashid Badirkhanli:
Text Classification for Azerbaijani Language Using Machine Learning and Embedding. - Seungcheol Park, Huiwen Xu, Taehun Kim, Inhwan Hwang, Kyung-Jun Kim, U Kang:
How to Pick the Best Source Data? Measuring Transferability for Heterogeneous Domains. - Pamela Zave, Jennifer Rexford:
Patterns and Interactions in Network Security. - Jakob M. Maljaars, Chris N. Richardson, Nathan Sime:
LEoPart: a particle library for FEniCS. - Maede Zolanvari, Raj Jain, Tara Salman:
Potential Data Link Candidates for Civilian Unmanned Aircraft Systems: A Survey. - Momme von Sydow, Christoph Merdes, Ulrike Hahn:
The Temporal Dynamics of Belief-based Updating of Epistemic Trust: Light at the End of the Tunnel? - José del Águila Ferrandis, Michael S. Triantafyllou, Chryssostomos Chryssostomidis, George Em Karniadakis:
Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states. - Kasra Babaei, Zhiyuan Chen, Tomás Maul:
Data Augmentation by AutoEncoders for Unsupervised Anomaly Detection. - Kasra Babaei, Zhiyuan Chen, Tomás Maul:
AEGR: A simple approach to gradient reversal in autoencoders for network anomaly detection. - Vladislav Makarov:
Bounded languages described by GF(2)-grammars. - Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank:
Classifier Chains: A Review and Perspectives. - Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro:
On the Role of Weight Sharing During Deep Option Learning. - Wei Zhou, Chen Cao, Dongdong Huo, Kai Cheng, Lan Zhang, Le Guan, Tao Liu, Yaowen Zheng, Yuqing Zhang, Limin Sun, Yazhe Wang, Peng Liu:
Logic Bugs in IoT Platforms and Systems: A Review. - Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov:
Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings. - Xingyu Lu, Stas Tiomkin, Pieter Abbeel:
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards. - John M. Giorgi, Xindi Wang, Nicola Sahar, Won Young Shin, Gary D. Bader, Bo Wang:
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models. - Alberto Camacho, Sheila A. McIlraith:
Towards Neural-Guided Program Synthesis for Linear Temporal Logic Specifications. - Peter Binev, Francesca Fierro, Andreas Veeser:
Near-best adaptive approximation on conforming meshes. - Alessio Conte, Andrea Marino, Roberto Grossi, Takeaki Uno, Luca Versari:
Proximity Search For Maximal Subgraph Enumeration. - Olin Shivers, Justin Slepak, Panagiotis Manolios:
Introduction to Rank-polymorphic Programming in Remora (Draft). - Jirí Borovec:
BIRL: Benchmark on Image Registration methods with Landmark validation. - Sarah Nadi, Christoph Treude:
Essential Sentences for Navigating Stack Overflow Answers. - Lingzhi Li, Jianmin Bao, Hao Yang, Dong Chen, Fang Wen:
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping. - Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, Baining Guo:
Face X-ray for More General Face Forgery Detection. - Anindya Harchowdhury, Lindsay Kleeman, Leena Vachhani:
3D Sensing of a Moving Object with a Nodding 2D LIDAR and Reconfigurable Mirrors. - Aviral Kumar, Sergey Levine:
Model Inversion Networks for Model-Based Optimization. - Aviral Kumar, Xue Bin Peng, Sergey Levine:
Reward-Conditioned Policies. - Cong Chen, Ye Guo, Lang Tong:
Pricing Multi-Interval Dispatch under Uncertainty Part II: Generalization and Performance. - Haoshu Fang, Chenxi Wang, Minghao Gou, Cewu Lu:
GraspNet: A Large-Scale Clustered and Densely Annotated Datase for Object Grasping. - Yaniv Benny, Lior Wolf:
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering. - Shiyu Liang, Ruoyu Sun, R. Srikant:
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. - Shin-ya Katsumata, Exequiel Rivas, Tarmo Uustalu:
Interaction laws of monads and comonads. - Aleksander Wieczorek, Volker Roth:
On the Difference Between the Information Bottleneck and the Deep Information Bottleneck. - Gianluca Baldassarre, Giovanni Granato:
Representation Internal-Manipulation (RIM): A Neuro-Inspired Computational Theory of Consciousness. - Melih Bastopcu, Sennur Ulukus:
Age of Information for Updates with Distortion: Constant and Age-Dependent Distortion Constraints. - Yuhao Long, Jingcheng Wang, Jingyi Wang:
Water Supply Prediction Based on Initialized Attention Residual Network. - Zhusheng Wang, Karim Banawan, Sennur Ulukus:
Private Set Intersection: A Multi-Message Symmetric Private Information Retrieval Perspective. - Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik:
Side-Tuning: Network Adaptation via Additive Side Networks. - David Zimmerer, Jens Petersen, Simon A. A. Kohl, Klaus H. Maier-Hein:
A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients. - Simone Rossi, Sébastien Marmin, Maurizio Filippone:
Efficient Approximate Inference with Walsh-Hadamard Variational Inference. - Umut Simsekli, Mert Gürbüzbalaban, Thanh Huy Nguyen, Gaël Richard, Levent Sagun:
On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks. - Efstathios G. Charalampidis, Nicolas Boullé, Patrick E. Farrell, P. G. Kevrekidis:
Bifurcation analysis of stationary solutions of two-dimensional coupled Gross-Pitaevskii equations using deflated continuation. - Gian Giacomo Guerreschi:
Scheduler of quantum circuits based on dynamical pattern improvement and its application to hardware design. - Alex Cohen, Melvyn B. Nathanson:
Sinkhorn limits in finitely many steps. - Félix del Teso, Jørgen Endal, Juan Luis Vázquez:
The one-phase fractional Stefan problem. - Raouf Dridi, Hedayat Alghassi, Maen Obeidat, Sridhar R. Tayur:
The Topology of Mutated Driver Pathways. - Anugraha Sinha, Naveen Kumar, Murukesh Mohanan, M. D. Muhaimin Rahman, Yves Quemener, Amina Mim, Suzana Ilic:
Quantized deep learning models on low-power edge devices for robotic systems. - Luca Ganassali, Marc Lelarge, Laurent Massoulié:
Spectral alignment of correlated Gaussian random matrices. - Mir Muhammad Abdullah, Mir Muhammad Abdur Rahman, Mir Mohammed Assadullah:
Convolutional neural networks model improvements using demographics and image processing filters on chest x-rays. - Ava P. Soleimany, Harini Suresh, Jose Javier Gonzalez Ortiz, Divya Shanmugam, Nil Gural, John V. Guttag, Sangeeta N. Bhatia:
Image segmentation of liver stage malaria infection with spatial uncertainty sampling. - Ulysse Côté Allard, Evan Campbell, Angkoon Phinyomark, François Laviolette, Benoit Gosselin, Erik J. Scheme:
Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features. - Yuhua Zhu, Lexing Ying:
Borrowing From the Future: An Attempt to Address Double Sampling. - Andrea Rotnitzky, Ezequiel Smucler:
Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models. - Yanjun Li, Mohammad A. Rezaei, Chenglong Li, Xiaolin Li, Dapeng Oliver Wu:
DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction. - Vikram Krishnamurthy, Robin J. Evans, William Moran:
Inverse Cognitive Radar - A Revealed Preferences Approach. - Andrzej Dabrowski, Jacek Pomykala, Igor E. Shparlinski:
On oracle factoring of integers. - Meichen Guo, Claudio De Persis:
Network games with dynamic players: Stabilization and output convergence to Nash equilibrium. - Nadiia Derevianko, Tino Ullrich:
A higher order Faber spline basis for sampling discretization of functions. - Michael F. Adamer, András C. Lorincz, Anna-Laura Sattelberger, Bernd Sturmfels:
Algebraic Analysis of Rotation Data. - Alessio Cardillo, Naoki Masuda:
Critical mass effect in evolutionary games triggered by zealots. - Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, Aaron Abajian, James S. Duncan:
Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making. - Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James G. Terry, John Jeffrey Carr, Richard G. Abramson, Bennett A. Landman:
Stochastic tissue window normalization of deep learning on computed tomography. - Natalia Basimova, Pavel Chebotarev:
Clustering as a means of leader selection in consensus networks. - Leena Chennuru Vankadara, Debarghya Ghoshdastidar:
On the optimality of kernels for high-dimensional clustering. - Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu:
Texture Hallucination for Large-Scale Painting Super-Resolution. - Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky:
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. - Xiru Zhu, Fengdi Che, Tianzi Yang, Tzu-Yang Yu, David Meger, Gregory Dudek:
Detecting GAN generated errors. - Puyang Wang, Eric Z. Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun:
Pyramid Convolutional RNN for MRI Reconstruction. - Yuhao Ding, Javad Lavaei, Murat Arcak:
Escaping spurious local minimum trajectories in online time-varying nonconvex optimization. - Oliver Knill:
More on Poincare-Hopf and Gauss-Bonnet. - Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu:
Flow Contrastive Estimation of Energy-Based Models. - Yina Han, Yuyan Li, Qingyu Liu, Yuanliang Ma:
DeepLofargram: A Deep Learning based Fluctuating Dim Frequency Line Detection and Recovery. - Vladimir Puzyrev, Andrei Swidinsky:
Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks. - Ahmad Abdi, Gérard Cornuéjols, Tony Huynh, Dabeen Lee:
Idealness of k-wise intersecting families. - Oleg Kalashev, Maxim Pshirkov, Mikhail Zotov:
Identifying nearby sources of ultra-high-energy cosmic rays with deep learning. - Vrettos Moulos:
Optimal Best Markovian Arm Identification with Fixed Confidence. - Niklas Heim, Václav Smídl, Tomás Pevný:
Rodent: Relevance determination in ODE. - Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi:
On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning. - Ville Salo, Ilkka Törmä:
Gardens of Eden in the Game of Life. - Shaogao Lv, Yongchao Hou, Hongwei Zhou:
Financial Market Directional Forecasting With Stacked Denoising Autoencoder. - Hao Wang, Hao Zeng, Jiashan Wang:
Relating lp regularization and reweighted l1 regularization. - Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin:
Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks. - Sheng Hua, Yong Zhou, Kai Yang, Yuanming Shi:
Reconfigurable Intelligent Surface for Green Edge Inference. - David Dahmen, Matthieu Gilson, Moritz Helias:
Capacity of the covariance perceptron. - Ben Adlam, Jake Levinson, Jeffrey Pennington:
A Random Matrix Perspective on Mixtures of Nonlinearities for Deep Learning. - Huy Phi, Sanjeev Janarthanan, Larry Zhang, Reza Hosseini Ghomi:
Voice Biomarker Identification for Effects of Deep-Brain Stimulation on Parkinson's Disease. - Jack K. Fitzsimons, Sebastian M. Schmon, Stephen J. Roberts:
Implicit Priors for Knowledge Sharing in Bayesian Neural Networks. - Luis Natera, Dávid Deritei, Anna Vancsó, Orsolya Vásárhelyi:
Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest. - Andrew Duncan, Nikolas Nüsken, Lukasz Szpruch:
On the geometry of Stein variational gradient descent. - Roberta Falcone, Angela Montanari, Laura Anderlucci:
Matrix sketching for supervised classification with imbalanced classes. - Craig Boucher, Ulf Knoblich, Daniel Miller, Sasha Patotski, Amin Saied, Venky Venkateshaiah:
Automated metrics calculation in a dynamic heterogeneous environment. - Xin Wang:
Optimizing the fundamental limits for quantum and private communication. - Paola García, Jesús Villalba, Hervé Bredin, Jun Du, Diego Castán, Alejandrina Cristià, Latané Bullock, Ling Guo, Koji Okabe, Phani Sankar Nidadavolu, Saurabh Kataria, Sizhu Chen, Léo Galmant, Marvin Lavechin, Lei Sun, Marie-Philippe Gill, Bar Ben-Yair, Sajjad Abdoli, Xin Wang, Wassim Bouaziz, Hadrien Titeux, Emmanuel Dupoux, Kong Aik Lee, Najim Dehak:
Speaker detection in the wild: Lessons learned from JSALT 2019. - Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu, Mohammad Amin Morid, Kartik M. Varadarajan:
Detecting mechanical loosening of total hip replacement implant from plain radiograph using deep convolutional neural network. - Sumit Vashishtha, Siddhartha Verma:
Restoring Chaos Using Deep Reinforcement Learning. - Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran, Yoshua Bengio:
Applying Knowledge Transfer for Water Body Segmentation in Peru. - Nicholas LaRacuente:
Adjusted Subadditivity of Relative Entropy for Non-commuting Conditional Expectations. - Nai-Hui Chia, Kai-Min Chung, Takashi Yamakawa:
Classical Verification of Quantum Computations with Efficient Verifier. - Cyril Banderier, Philippe Marchal, Michael Wallner:
Periodic Pólya Urns, the Density Method, and Asymptotics of Young Tableaux. - Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zachary Edgerton, Ranveer Vasdev, Matthew Peterson, Seán McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher Weight, Nikolaos Papanikolopoulos:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. - Carlos Hoppen, Yoshiharu Kohayakawa, Richard Lang, Hanno Lefmann, Henrique Stagni:
On the query complexity of estimating the distance to hereditary graph properties. - Zhengze Zhou, Lucas Mentch, Giles Hooker:
Asymptotic Normality and Variance Estimation For Supervised Ensembles. - Aaron Defazio:
Offset Masking Improves Deep Learning based Accelerated MRI Reconstructions. - Jeffry Chavarría-Molina, Juan Jose Fallas-Monge, Javier Trejos-Zelaya:
Clustering via Ant Colonies: Parameter Analysis and Improvement of the Algorithm. - Hugo Lhachemi, Robert Shorten:
Boundary input-to-state stabilization of a damped Euler-Bernoulli beam in the presence of a state-delay. - S. Mostafa Mousavi, Gregory C. Beroza:
Bayesian-Deep-Learning Estimation of Earthquake Location from Single-Station Observations. - Huangxing Lin, Weihong Zeng, Xinghao Ding, Xueyang Fu, Yue Huang, John W. Paisley:
Noise2Blur: Online Noise Extraction and Denoising. - Leyuan Sheng, Dong-Yan Huang, Evgeniy N. Pavlovskiy:
High-quality Speech Synthesis Using Super-resolution Mel-Spectrogram. - Mahdi Haghifam, Vincent Y. F. Tan, Ashish Khisti:
Sequential Classification with Empirically Observed Statistics. - Jeremiah Zhe Liu:
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon. - Jun Jia, Zhongpai Gao, Kang Chen, Menghan Hu, Guangtao Zhai, Guodong Guo, Xiaokang Yang:
Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks. - Armin Küper, Steffen Waldherr:
Numerical Gaussian process Kalman filtering. - Arkadiusz Jedrzejewski, Bartlomiej Nowak, Angelika Abramiuk, Katarzyna Sznajd-Weron:
Competing local and global interactions in social dynamics: how important is the friendship network? - Kenneth F. Caluya, Abhishek Halder:
Wasserstein Proximal Algorithms for the Schrödinger Bridge Problem: Density Control with Nonlinear Drift. - Othmane Mazhar, Cristian R. Rojas, Carlo Fischione, Mohammad Reza Hesamzadeh:
Bayesian Model Selection for Change Point Detection and Clustering. - Sidney Pontes-Filho, Annelene Gulden Dahl, Stefano Nichele, Gustavo Borges Moreno e Mello:
A deep learning based tool for automatic brain extraction from functional magnetic resonance images in rodents. - Jennifer Maier, Luis Carlos Rivera Monroy, Christopher Syben, Yejin Jeon, Jang Hwan Choi, Mary Elizabeth Hall, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier:
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT. - So Takamoto, Satoshi Izumi, Ju Li:
TeaNet: universal neural network interatomic potential inspired by iterative electronic relaxations. - Alex Turpin, Gabriella Musarra, Valentin Kapitany, Francesco Tonolini, Ashley Lyons, Ilya Starshynov, Federica A. Villa, Enrico Conca, Francesco Fioranelli, Roderick Murray-Smith, Daniele Faccio:
Spatial images from temporal data. - Norman E. Fenton, Martin Neil, Anthony C. Constantinou:
Simpson's Paradox and the implications for medical trials. - Cong Xu, Min Yang, Jin Zhang:
A Fast deflation Method for Sparse Principal Component Analysis via Subspace Projections. - Andrew Corbett:
The Transfer of Polarised Radiation in Homogeneous Water Bodies. - Dan Garber:
Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without Strong Convexity. - Iosif B. Meyerov, Evgeny Kozinov, Alexey Liniov, Valentin Volokitin, Igor I. Yusipov, Mikhail Ivanchenko, Sergey V. Denisov:
Transforming the Lindblad Equation into a System of Linear Equations: Performance Optimization and Parallelization. - Prabin Sharma, Sambad Bidari, António Valente, Hugo Paredes:
Towards blind user's indoor navigation: a comparative study of beacons and decawave for indoor accurate location. - Carlos Granell, Andreas Kamilaris, Alexander Kotsev, Frank O. Ostermann, Sergio Trilles:
Internet of Things in Geospatial Analytics. - Hang Ruan, Rodrigo C. de Lamare:
Study of Distributed Robust Beamforming with Low-Rank and Cross-Correlation Techniques. - Daniele Ravì, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI. - John Mitros, Brian Mac Namee:
On the Validity of Bayesian Neural Networks for Uncertainty Estimation. - Daniel Blasco Avellaneda:
Design of an algorithm for acoustic signal detection of moving vehicles. - Armen R. Davtyan, Gevorg M. Minasyan, Petros A. Petrosyan:
On the deficiency of complete multipartite graphs. - Petr Gregor, Ondrej Micka, Torsten Mütze:
On the central levels problem. - Marthe Bonamy, François Dross, Tomás Masarík, Wojciech Nadara, Marcin Pilipczuk, Michal Pilipczuk:
Jones' Conjecture in subcubic graphs. - Kristian Bredies, Martin Holler:
Higher-order total variation approaches and generalisations. - David Gamarnik, Eren C. Kizildag, Ilias Zadik:
Stationary Points of Shallow Neural Networks with Quadratic Activation Function. - Shaoshi Ling, Yuzong Liu, Julian Salazar, Katrin Kirchhoff:
Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition. - Valentin De Bortoli, Agnès Desolneux, Alain Durmus, Bruno Galerne, Arthur Leclaire:
Maximum entropy methods for texture synthesis: theory and practice. - Abhishek Roy, Yifang Chen, Krishnakumar Balasubramanian, Prasant Mohapatra:
Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization. - Dylan Troop, Fréderic Godin, Jia Yuan Yu:
Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaR. - Tao Ge, Umberto Villa, Ulugbek S. Kamilov, Joseph A. O'Sullivan:
Proximal Newton Methods for X-Ray Imaging with Non-Smooth Regularization. - M. A. Evangelista-Alvarado, J. C. Ruíz-Pantaleón, Pablo Suárez-Serrato:
On Computational Poisson Geometry I: Symbolic Foundations. - Benjamin A. Toms, Elizabeth A. Barnes, Imme Ebert-Uphoff:
Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability. - Ye Bai, Jiangyan Yi, Jianhua Tao, Zhengkun Tian, Zhengqi Wen, Shuai Zhang:
Integrating Whole Context to Sequence-to-sequence Speech Recognition. - Haoguo Hu, Philip Chu:
Predicting Lake Erie Wave Heights using XGBoost. - Jiequn Han, Ruimeng Hu:
Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games. - Yuto Onga, Shingo Fujiyama, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi:
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning. - Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu:
Learning Deep Generative Models with Short Run Inference Dynamics. - Roni Zoller, Meirav Zehavi, Michal Ziv-Ukelson:
A New Paradigm for Identifying Reconciliation-Scenario Altering Mutations Conferring Environmental Adaptation. - Ziming Liu, Zheng Zhang:
Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling. - Fernando Zorrilla, Johannes Sappl, Wolfgang Rauch, Matthias Harders:
Accelerating Surface Tension Calculation in SPH via Particle Classification & Monte Carlo Integration. - Tilmann Gneiting, Eva-Maria Walz:
ROC movies - a new generalization to a popular classic. - Mingyi He, Shivam Pathak, Urwa Muaz, Jingtian Zhou, Saloni Saini, Sergey Malinchik, Stanislav Sobolevsky:
Pattern and Anomaly Detection in Urban Temporal Networks. - Saray Busto, Simone Chiocchetti, Michael Dumbser, Elena Gaburro, Ilya Peshkov:
High order ADER schemes for continuum mechanics. - Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová:
Exact asymptotics for phase retrieval and compressed sensing with random generative priors. - Andrei Patrascu, Paul Irofti:
Stochastic proximal splitting algorithm for stochastic composite minimization. - Lei Yu:
Asymptotics for Strassen's Optimal Transport Problem. - Wolfgang Erb:
Graph signal interpolation with Positive Definite Graph Basis Functions. - Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
Divided We Stand: A Novel Residual Group Attention Mechanism for Medical Image Segmentation. - Ron Estrin, Michael P. Friedlander, Dominique Orban, Michael A. Saunders:
Implementing a smooth exact penalty function for general constrained nonlinear optimization. - Bhawna Ahuja, Deepak Mishra, Ranjan Bose:
Optimal Green Hybrid Attacks in Secure IoT. - Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad H. Amin:
A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers. - Rien Quirynen, Stefano Di Cairano:
PRESAS: Block-Structured Preconditioning of Iterative Solvers within a Primal Active-Set Method for fast MPC. - Alexandru Strimbu:
Simulating Evolution on Fitness Landscapes represented by Valued Constraint Satisfaction Problems. - Antoine Maillard, Gérard Ben Arous, Giulio Biroli:
Landscape Complexity for the Empirical Risk of Generalized Linear Models. - Kamil Khadiev, Yixin Shen:
Quantum Query Complexity of Dyck Languages with Bounded Height. - Minh Tri Nguyen, Long Bao Le:
Channel Estimation, Interference Cancellation, and Symbol Detection for Communications on Overlapping Channels. - Lukas Zorich, Karim Pichara, Pavlos Protopapas:
Streaming Classification of Variable Stars. - Donghwan Lee, Niao He:
A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms. - Michail Makridis, Konstantinos Mattas, Biagio Ciuffo, Georgios Fontaras:
The impact of automation and connectivity on traffic flow and CO2 emissions. A detailed microsimulation study. - Sergio Conti, Martin Lenz, Nora Lüthen, Martin Rumpf, Barbara Zwicknagl:
Geometry of martensite needles in shape memory alloys. - Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen Roberts:
Indian Buffet Neural Networks for Continual Learning. - Thomas Fernique:
Compact packings of space with three sizes of spheres. - T. Mitchell Roddenberry, Santiago Segarra:
HodgeNet: Graph Neural Networks for Edge Data. - Haijuan Hu, Jacques Froment, Baoyan Wang, Xiequan Fan:
Spatial-Frequency Domain Nonlocal Total Variation for Image Denoising. - Masaaki Harada:
Construction of s-extremal optimal unimodular lattices in dimension 52. - Yossi Arjevani, Yair Carmon, John C. Duchi, Dylan J. Foster, Nathan Srebro, Blake E. Woodworth:
Lower Bounds for Non-Convex Stochastic Optimization. - Hossein Kamalzadeh, Saeid Nassim Sobhan, Azam Boskabadi, Mohsen Hatami, Amin Gharehyakheh:
Modeling and Prediction of Iran's Steel Consumption Based on Economic Activity Using Support Vector Machines. - Tanbin Rahman, Yujia Li, Tianzhou Ma, Lu Tang, George C. Tseng:
A sparse negative binomial mixture model for clustering RNA-seq count data. - Kevin Kuo:
Generative Synthesis of Insurance Datasets. - André R. Brodtkorb, Håvard Heitlo Holm:
Real-World Oceanographic Simulations on the GPU using a Two-Dimensional Finite-Volume Scheme. - Victor Picheny, Sattar Vakili, Artem Artemev:
Ordinal Bayesian Optimisation. - David Tolpin:
Warped Input Gaussian Processes for Time Series Forecasting. - Jiaxin Liu, Xucheng Song, Yingjie Zhou, Xi Peng, Yanru Zhang, Pei Liu, Dapeng Oliver Wu:
Deep Anomaly Detection in Packet Payload. - Peter Bubenik, Alex Elchesen:
Universality of persistence diagrams and the bottleneck and Wasserstein distances. - Maxim Borisyak, Nikita Kazeev:
Machine Learning on sWeighted Data. - Woo-Sung Choi, Minseok Kim, Jaehwa Chung, Daewon Lee, Soonyoung Jung:
Investigating Deep Neural Transformations for Spectrogram-based Musical Source Separation. - Abhishek Singh Dahiya, Jerome Thireau, Jamila Boudaden, Swatchith Lal, Umair Gulzar, Yan Zhang, Thierry Gil, Nadine Azémard, Peter Ramm, Tim Kiessling, Cian O'Murchu, Fredrik Sebelius, Jonas Tilly, Colm Glynn, Shane Geary, Colm O'Dwyer, Kafil Razeeb, Alain Lacampagne, Benoît Charlot, Aida Todri-Sanial:
Energy Autonomous Wearable Sensors for Smart Healthcare: A Review. - Nóra Frankl, Tamás Hubai, Dömötör Pálvölgyi:
Almost-monochromatic sets and the chromatic number of the plane. - Ankit Khairkar, Chaudhari Bhushan Jayant, Karthikeya Racharla, Paturu Harish, Vineet Kumar:
Predominant Musical Instrument Classification based on Spectral Features. - Jianwei Tai, Qingjia Huang, Xiaoqi Jia:
Powerful Speaker Embedding Training Framework by Adversarially Disentangled Identity Representation. - Verena Heusser, Niklas Freymuth, Stefan Constantin, Alex Waibel:
Bimodal Speech Emotion Recognition Using Pre-Trained Language Models. - Yin-Jyun Luo, Chin-Chen Hsu, Kat Agres, Dorien Herremans:
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. - Wim Boes, Hugo Van hamme:
Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events. - Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris:
Learning to synthesise the ageing brain without longitudinal data. - Gontran Lance, Emmanuel Trélat, Enrique Zuazua:
Turnpike in optimal shape design. - Pierluigi Amodio, Domenico Giordano, Felice Iavernaro, Arcangelo Labianca, Monica Lazzo, Francesca Mazzia, Lorenzo Pisani:
Mathematical aspects relative to the fluid statics of a self-gravitating perfect-gas isothermal sphere. - Marissa Connor, Christopher Rozell:
Representing Closed Transformation Paths in Encoded Network Latent Space. - Mehak Gupta, Thao-Ly T. Phan, George Datto, H. Timothy Bunnell, Rahmatollah Beheshti:
Obesity Prediction with EHR Data: A deep learning approach with interpretability. - Ander Arriandiaga, Giovanni Morrone, Luca Pasa, Leonardo Badino, Chiara Bartolozzi:
Audio-Visual Target Speaker Extraction on Multi-Talker Environment using Event-Driven Cameras. - Ehsan Taheri, Ilya V. Kolmanovsky, Oleg Gusikhin:
Survey of prognostics methods for condition-based maintenance in engineering systems. - Amitava Banerjee, Jaideep Pathak, Rajarshi Roy, Juan G. Restrepo, Edward Ott:
Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links. - Dominik Janzing, Kailash Budhathoki, Lenon Minorics, Patrick Blöbaum:
Causal structure based root cause analysis of outliers. - Alia Abbara, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová:
Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning. - Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh:
MetaFun: Meta-Learning with Iterative Functional Updates. - Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, Shihao Ji:
Toward Filament Segmentation Using Deep Neural Networks. - Stanislav Fort, Huiyi Hu, Balaji Lakshminarayanan:
Deep Ensembles: A Loss Landscape Perspective. - George Papamakarios, Eric T. Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan:
Normalizing Flows for Probabilistic Modeling and Inference. - Alexander Turner, Dimitris Tsipras, Aleksander Madry:
Label-Consistent Backdoor Attacks. - Henry Hanifan, John Cartlidge:
Fools Rush In: Competitive Effects of Reaction Time in Automated Trading. - Dan Hendrycks, Norman Mu, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan:
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty. - Roman Novak, Lechao Xiao, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, Samuel S. Schoenholz:
Neural Tangents: Fast and Easy Infinite Neural Networks in Python. - Owen Mayer, Matthew C. Stamm:
Exposing Fake Images with Forensic Similarity Graphs. - Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques:
(l1, l2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements. - Tobias Gruber, Mariia Kokhova, Werner Ritter, Norbert Haala, Klaus Dietmayer:
Learning Super-resolved Depth from Active Gated Imaging. - Guannan Qu, Adam Wierman, Na Li:
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. - Jeffrey J. Ma, Ukash Nakarmi, Cedric Yue Sik Kin, Christopher M. Sandino, Joseph Y. Cheng, Ali B. Syed, Peter Wei, John M. Pauly, Shreyas Vasanawala:
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. - Anna M. Brockway, Laurel N. Dunn:
Weathering Adaptation: Grid Infrastructure Planning in a Changing Climate. - Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Risk-Aware MMSE Estimation. - Junyu Chen, Ye Li, Eric C. Frey:
Generating Patient-like Phantoms Using Fully Unsupervised Deformable Image Registration with Convolutional Neural Networks. - Zhengkun Tian, Jiangyan Yi, Ye Bai, Jianhua Tao, Shuai Zhang, Zhengqi Wen:
Synchronous Transformers for End-to-End Speech Recognition. - Rainald Löhner, Harbir Antil:
Revisiting Calderon's Problem. - Philipp Krah, Mario Sroka, Julius Reiss:
Model Order Reduction of Combustion Processes with Complex Front Dynamics. - Pavel Pudlák:
The canonical pairs of bounded depth Frege systems. - Liang Huang, Weijian Pan, You Zhang, Li Ping Qian, Nan Gao, Yuan Wu:
Data Augmentation for Deep Learning-based Radio Modulation Classification. - Cindy Trinh, Emilie Kaufmann, Claire Vernade, Richard Combes:
Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling. - Amir H. Abdi, Mohammad H. Jafari, Sidney S. Fels, Teresa Tsang, Purang Abolmaesumi:
A Study into Echocardiography View Conversion. - (Withdrawn) NASNet: A Neuron Attention Stage-by-Stage Net for Single Image Deraining.
- Tim Zajic:
Non-asymptotic error bounds for scaled underdamped Langevin MCMC. - Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar, Suvrit Sra:
Why ADAM Beats SGD for Attention Models. - Demival Vasques Filho, Dion R. J. O'Neale:
Transitivity and degree assortativity explained: The bipartite structure of social networks. - Andrew J. P. Garner:
Oracular information and the second law of thermodynamics. - Mario Bijelic, Tobias Gruber, Werner Ritter:
Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving. - Yuxin Hou, Ari Heljakka, Arno Solin:
Gaussian Process Priors for View-Aware Inference. - Mari Paz Calvo, Daniel Sanz-Alonso, Jesús María Sanz-Serna:
HMC: avoiding rejections by not using leapfrog and some results on the acceptance rate. - André G. C. Pacheco, Renato A. Krohling:
Recent advances in deep learning applied to skin cancer detection. - P. A. M. Casares, M. A. Martin-Delgado:
A quantum active learning algorithm for sampling against adversarial attacks. - Burim Ramosaj, Markus Pauly:
Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models. - Ammar Mohammadi:
Reversible Data Hiding in Encrypted Images Using MSBs Modulation and Histogram Modification. - Gabriela Jaramillo, Shankar Venkataramani:
A Modified Split Bregman Algorithm for Computing Microstructures Through Young Measures. - Ankur Gandhe, Ariya Rastrow:
Audio-attention discriminative language model for ASR rescoring. - Dustin G. Mixon, Hans Parshall:
Globally optimizing small codes in real projective spaces. - Davood Karimi:
Sparse and redundant signal representations for x-ray computed tomography. - Jakub Otwinowski, Colin H. LaMont:
Quantitative genetic algorithms. - Donghuan Lu, Morgan Heisler, Da Ma, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg:
Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence. - Miao Du, Qin Yu, Shaomin Fei, Chen Wang, Xiaofeng Gong, Ruisen Luo:
Fully Dense Neural Network for the Automatic Modulation Recognition. - Bolin Gao, Lacra Pavel:
Continuous-time Discounted Mirror-Descent Dynamics in Monotone Concave Games. - Erdem Varol, Amin Nejatbakhsh, Conor McGrory:
Temporal Wasserstein non-negative matrix factorization for non-rigid motion segmentation and spatiotemporal deconvolution. - Amir Mahdi Abdolhosseini-Qomi, Naser Yazdani, Masoud Asadpour:
Overlapping Communities and the Prediction of Missing Links in Multiplex Networks. - Sujan Vijayaraj, S. Balakrishnan, K. Senthilnathan:
Quasi-quantum secure direct communication scheme using non-maximally entangled states. - Ibrahim Kurban Özaslan, Mert Pilanci, Orhan Arikan:
Regularized Momentum Iterative Hessian Sketch for Large Scale Linear System of Equations. - Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric:
No-Regret Exploration in Goal-Oriented Reinforcement Learning. - David J. Pengelley:
Dances between continuous and discrete: Euler's summation formula. - Juho Timonen, Henrik Mannerström, Aki Vehtari, Harri Lähdesmäki:
An interpretable probabilistic machine learning method for heterogeneous longitudinal studies. - Philippe G. LeFloch, Allen M. Tesdall:
Augmented hyperbolic models with diffusive-dispersive shocks. - Lixiang Zhang, Lin Lin, Jia Li:
Deep Variable-Block Chain with Adaptive Variable Selection. - Jun Ma, Haiyue Zhu, Masayoshi Tomizuka, Tong Heng Lee:
On Robust Stability and Performance with a Fixed-Order Controller Design for Uncertain Systems. - Jun Ma, Zilong Cheng, Xiaocong Li, Masayoshi Tomizuka, Tong Heng Lee:
Data-Driven Linear Quadratic Optimization for Controller Synthesis with Structural Constraints. - Hossein Zeinali, Lukás Burget, Jan Honza Cernocký:
A Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: the DeepMine Database. - Siddhartha Das, Stefan Bäuml, Marek Winczewski, Karol Horodecki:
Universal limitations on quantum key distribution over a network. - Samruddhi Deshmukh, Amartansh Dubey:
Improved Covariance Matrix Estimator using Shrinkage Transformation and Random Matrix Theory. - Jerome H. Friedman:
Contrast Trees and Distribution Boosting. - Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Approximate Supermodularity of Kalman Filter Sensor Selection. - Anirudh Sridhar, H. Vincent Poor:
Sequential Estimation of Network Cascades. - Brett Leroux, Luis Rademacher:
Algebraic k-sets and generally neighborly embeddings. - Jari Saramäki, Mikko Kivelä, Márton Karsai:
Weighted temporal event graphs. - Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner:
Learning Disentangled Representations via Mutual Information Estimation. - Hugo Cui, Luca Saglietti, Lenka Zdeborová:
Large deviations for the perceptron model and consequences for active learning. - Sebastian M. Cioaba, Randall J. Elzinga, David A. Gregory:
Some observations on the smallest adjacency eigenvalue of a graph. - François Lanusse, Peter Melchior, Fred Moolekamp:
Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems. - Chenying Liu, Jun Li, Lin He, Antonio J. Plaza, Shutao Li, Bo Li:
Naive Gabor Networks. - Guillaume Gbikpi-Benissan, Frédéric Magoulès:
Beam-tracing domain decomposition method for urban acoustic pollution. - Du Chen, Zewei He, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Michael Ying Yang, Siliang Tang, Yueting Zhuang:
Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features. - Sebastian Lotter, Arman Ahmadzadeh, Robert Schober:
Channel Modeling for Synaptic Molecular Communication With Re-uptake and Reversible Receptor Binding. - Nicole Balashov, Reuven Cohen, Avieli Haber, Michael Krivelevich, Simi Haber:
Optimal shattering of complex networks. - Andreas Krug, Sebastian Stober:
Visualizing Deep Neural Networks for Speech Recognition with Learned Topographic Filter Maps. - Ertugrul Basar, Ian F. Akyildiz:
Reconfigurable Intelligent Surfaces for Doppler Effect and Multipath Fading Mitigation. - Cailey I. Kerley, Kurt G. Schilling, Justin A. Blaber, Beth Miller, Allen T. Newton, Adam W. Anderson, Bennett A. Landman, Tonia S. Rex:
MRI correlates of chronic symptoms in mild traumatic brain injury. - Regina Pohle-Fröhlich, Christoph Dalitz, Charlotte Richter, Benjamin Stäudle, Kirsten Albracht:
Estimation of Muscle Fascicle Orientation in Ultrasonic Images. - Yining Wang, Ruosong Wang, Simon S. Du, Akshay Krishnamurthy:
Optimism in Reinforcement Learning with Generalized Linear Function Approximation. - Barbara Franci, Sergio Grammatico:
Distributed Forward-Backward algorithms for stochastic generalized Nash equilibrium seeking. - Fabio Ferrari, Michèle Lavagna, Emmanuel Blazquez:
A parallel-GPU code for asteroid aggregation problems with angular particles. - Antoine Marot, Benjamin Donnot, Camilo Romero, Luca Veyrin-Forrer, Marvin Lerousseau, Balthazar Donon, Isabelle Guyon:
Learning to run a power network challenge for training topology controllers. - Hwan Goh, Sheroze Sheriffdeen, Tan Bui-Thanh:
Solving Forward and Inverse Problems Using Autoencoders. - Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji:
A Neural Network Based on the Johnson SU Translation System and Related Application to Electromyogram Classification. - Indra Deep Mastan, Shanmuganathan Raman:
DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting. - Ran Xin, Usman A. Khan, Soummya Kar:
Variance-Reduced Decentralized Stochastic Optimization with Accelerated Convergence. - Simon Apers, András Gilyén, Stacey Jeffery:
A Unified Framework of Quantum Walk Search. - Robert Hancock, Adam Kabela, Daniel Král, Taísa L. Martins, Roberto Parente, Fiona Skerman, Jan Volec:
No additional tournaments are quasirandom-forcing. - Santosh Manicka, Michael Levin:
Modeling somatic computation with non-neural bioelectric networks. - Chris Anderson, Jacob Klein, Heygaan Rajakumar, Colin Judge, Laurent Karim Béland:
Automated Classification of Helium Ingress in Irradiated X-750. - Soorya Rethinasamy, Mark M. Wilde:
Relative Entropy and Catalytic Relative Majorization. - Jonas I. Liechti, Sebastian Bonhoeffer:
A time resolved clustering method revealing longterm structures and their short-term internal dynamics. - Huidong Xie, Hongming Shan, Wenxiang Cong, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang:
Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data. - Carl Poelking, Yehia Amar, Alexei A. Lapkin, Lucy J. Colwell:
Noisy, sparse, nonlinear: Navigating the Bermuda Triangle of physical inference with deep filtering. - Ahmet M. Elbir:
DeepMUSIC: Multiple Signal Classification via Deep Learning. - Chase Mathison:
Sampling in Thermoacoustic Tomography. - Murphy Yuezhen Niu, Vadim Smelyanskyi, Paul Klimov, Sergio Boixo, Rami Barends, Julian Kelly, Yu Chen, Kunal Arya, Brian Burkett, Dave Bacon, Zijun Chen, Benjamin Chiaro, Roberto Collins, Andrew Dunsworth, Brooks Foxen, Austin G. Fowler, Craig Gidney, Marissa Giustina, Rob Graff, Trent Huang, Evan Jeffrey, David Landhuis, Erik Lucero, Anthony Megrant, Josh Mutus, Xiao Mi, Ofer Naaman, Matthew Neeley, Charles J. Neill, Chris Quintana, Pedram Roushan, John M. Martinis, Hartmut Neven:
Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm. - Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi:
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation. - Dolly Agarwal, Jayant Gupchup, Nishant Baghel:
A Dataset for measuring reading levels in India at scale. - Ana P. Millán, Joaquín J. Torres, Ginestra Bianconi:
Explosive higher-order Kuramoto dynamics on simplicial complexes. - Rabie Ramadan, Rodolfo Ruben Rosales, Benjamin Seibold:
Structural Properties of the Stability of Jamitons. - Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Samuel Kaski, Antti Honkela:
Privacy-preserving data sharing via probabilistic modelling. - Hufei Zhu:
Inverse LDM' and LU Factorizations of a Partitioned Matrix with the Square-root and Division Free Version for V-BLAST. - Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou:
Error analysis of mixed THz0RF wireless systems. - Prashant Khanduri, Saikiran Bulusu, Pranay Sharma, Pramod K. Varshney:
Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations. - Jia Guo, Wei Wang, Huanxin Yan, Junxian Chen, Hailin Xu, Huiqi Li:
Calcaneus Radiograph Analysis System: Rotation-Invariant Landmark Detection, Calcaneal Angles Measurement and Fracture Identification. - Jyoti Islam, Yanqing Zhang:
Understanding 3D CNN Behavior for Alzheimer's Disease Diagnosis from Brain PET Scan. - Tarik Kazaz, Gerard J. M. Janssen, Alle-Jan van der Veen:
Time Delay Estimation from Multiband Radio Channel Samples in Nonuniform Noise. - Zilong Cheng, Jun Ma, Xiaocong Li, Masayoshi Tomizuka, Tong Heng Lee:
Second-Order Non-Convex Optimization for Constrained Fixed-Structure Static Output Feedback Controller Synthesis. - Mohammad Ibrahim Sarker, Hyongsuk Kim, Denis Tarasov, Dinar Akhmetzanov:
Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images. - Pablo Laiz, Jordi Vitrià, Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi Seguí:
WCE Polyp Detection with Triplet based Embeddings. - Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao:
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. - Marat Bogdanov, Salim Baigildin, Aygul Fabarisova, Konstantin Ushenin, Olga Solovyova:
Effects of lead position, cardiac rhythm variation and drug-induced QT prolongation on performance of machine learning methods for ECG processing. - Ignat Domanov, Lieven De Lathauwer:
From computation to comparison of tensor decompositions. - Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu, Hongwei Wen:
Histogram Transform Ensembles for Large-scale Regression. - Rong Wang, Xiaoni Du, Cuiling Fan:
Infinite families of 2-designs from a class of non-binary Kasami cyclic codes. - Yuan Wang, Zhipeng Gui, Huayi Wu, Dehua Peng, Jinghang Wu, Zousen Cui:
Optimizing and accelerating space-time Ripley's K function based on Apache Spark for distributed spatiotemporal point pattern analysis. - Nir Bitansky, Omri Shmueli:
Post-Quantum Zero Knowledge in Constant Rounds. - Priyanka Khante, Mai Lee Chang, Domingo Martinez, Kaya de Barbaro, Edison Thomaz:
Quantifying the Chaos Level of Infants' Environment via Unsupervised Learning. - Benjie Wang, Stefan Webb, Tom Rainforth:
Statistically Robust Neural Network Classification. - Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Hybinette Balch:
Get Real: Realism Metrics for Robust Limit Order Book Market Simulations. - David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes:
Neural Memory Networks for Robust Classification of Seizure Type. - Takuya Yoshioka, Igor Abramovski, Cem Aksoylar, Zhuo Chen, Moshe David, Dimitrios Dimitriadis, Yifan Gong, Ilya Gurvich, Xuedong Huang, Yan Huang, Aviv Hurvitz, Li Jiang, Sharon Koubi, Eyal Krupka, Ido Leichter, Changliang Liu, Partha Parthasarathy, Alon Vinnikov, Lingfeng Wu, Xiong Xiao, Wayne Xiong, Huaming Wang, Zhenghao Wang, Jun Zhang, Yong Zhao, Tianyan Zhou:
Advances in Online Audio-Visual Meeting Transcription. - Tobias Uelwer, Alexander Oberstraß, Stefan Harmeling:
Phase Retrieval using Conditional Generative Adversarial Networks. - Enes Altinisik, Husrev Taha Sencar:
Source Camera Attribution from Strongly Stabilized Videos. - Abraham Nunes, Martin Alda, Timothy Bardouille, Thomas Trappenberg:
Representational Rényi heterogeneity. - Harbir Antil, Thomas S. Brown, Deepanshu Verma:
Moreau-Yosida Regularization for Optimal Control of Fractional Elliptic Problems with State and Control Constraints. - Joonas Pääkkönen:
Fenton-Wilkinson Order Statistics and German Tanks: A Case Study of an Orienteering Relay Race. - Ryan M. Corey, Matthew D. Skarha, Andrew C. Singer:
Cooperative Audio Source Separation and Enhancement Using Distributed Microphone Arrays and Wearable Devices. - Ryan M. Corey, Andrew C. Singer:
Motion-Tolerant Beamforming with Deformable Microphone Arrays. - Sanja Scepanovic, Oleg Antropov, Pekka Laurila, Vladimir Ignatenko, Jaan Praks:
Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models. - Zhenan Fan, Halyun Jeong, Yifan Sun, Michael P. Friedlander:
Polar Alignment and Atomic Decomposition. - Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang:
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. - James M. Stevenson, Leif D. Jacobson, Yutong Zhao, Chuanjie Wu, Jon Maple, Karl Leswing, Edward Harder, Robert Abel:
Schrödinger-ANI: An Eight-Element Neural Network Interaction Potential with Greatly Expanded Coverage of Druglike Chemical Space. - Michael R. Kellman, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller:
Memory-efficient Learning for Large-scale Computational Imaging. - Harshvardhan Sikka, Weishun Zhong, Jun Yin, Cengiz Pehlevan:
A Closer Look at Disentangling in β-VAE. - Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan:
Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing. - Chun-Hsiang Chen, Chieh-Fang Teng, An-Yeu Wu:
Low-Complexity LSTM-Assisted Bit-Flipping Algorithm for Successive Cancellation List Polar Decoder. - Dirk Bergemann, Francisco Castro, Gabriel Y. Weintraub:
Third-degree Price Discrimination Versus Uniform Pricing. - André Nortje, Willie Brink, Herman A. Engelbrecht, Herman Kamper:
BINet: a binary inpainting network for deep patch-based image compression. - André Nortje, Herman A. Engelbrecht, Herman Kamper:
Deep motion estimation for parallel inter-frame prediction in video compression. - (Withdrawn) Sparse Joint Transmission for Cell-Free Massive MIMO: A Sparse PCA Approach.
- Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation. - Shivam Chandhok, Himani Joshi, A. Venkata Subramanyam, Sumit Jagdish Darak:
SenseNet: Deep Learning based Wideband spectrum sensing and modulation classification network. - Seungmo Kim, Yakub Sharif, Imtiaz Nasim:
Human Electromagnetic Field Exposure in Wearable Communications: A Review. - Jingwen He, Chao Dong, Yu Qiao:
Multi-Dimension Modulation for Image Restoration with Dynamic Controllable Residual Learning. - Tsz-Wo Sze:
A Fast Self-correcting π Algorithm. - Baha Eddine Youcef Belmekki, Abdelkrim Hamza, Benoît Escrig:
On the Outage Probability of Vehicular Communications at Intersections Over Nakagami-m Fading Channels. - Girmaw Abebe Tadesse, Tingting Zhu, Nhan Le Nguyen Thanh, Nguyen Thanh Hung, Ha Thi Hai Duong, Truong Huu Khanh, Pham Van Quang, Duc Duong Tran, LamMinh Yen, H. Rogier Van Doorn, Nguyen Van Hao, John Prince, Hamza A. Javed, Dani Kiyasseh, Le Van Tan, Louise Thwaites, David A. Clifton:
Severity Detection Tool for Patients with Infectious Disease. - Woong-seon Yoo:
Quantum voting and its physical interpretation. - Anders Eklund:
Feeding the zombies: Synthesizing brain volumes using a 3D progressive growing GAN. - Rhona Asgari, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
U-Net with spatial pyramid pooling for drusen segmentation in optical coherence tomography. - Rohan Karthikeyan, Siddharth Sinha, Vallabh Patil:
On the Resolution of the Sensitivity Conjecture. - Geng Yuan, Xiaolong Ma, Sheng Lin, Zhengang Li, Caiwen Ding:
A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation. - Huazhong Lü, Tingzeng Wu:
Unpaired many-to-many disjoint path cover of balanced hypercubes. - Svitlana Alkhimova, Svitlana Sliusar:
Analysis of effectiveness of thresholding in perfusion ROI detection on T2-weighted MR images with abnormal brain anatomy. - Skylar W. Wurster, Arkadiusz Sitek, Jian Chen, Karla K. Evans, Gaeun Kim, Jeremy M. Wolfe:
Human Gist Processing Augments Deep Learning Breast Cancer Risk Assessment. - Svitlana Alkhimova:
Impact of perfusion ROI detection to the quality of CBV perfusion map. - Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan:
Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation. - Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Kerstin Hammernik:
Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction. - Michael B. Giles, Abdul-Lateef Haji-Ali:
Sub-sampling and other considerations for efficient risk estimation in large portfolios. - Elsa Cazelles, Arnaud Robert, Felipe A. Tobar:
The Wasserstein-Fourier Distance for Stationary Time Series. - Fei Yang, Luis Herranz, Joost van de Weijer, José Antonio Iglesias Guitián, Antonio M. López, Mikhail G. Mozerov:
Variable Rate Deep Image Compression with Modulated Autoencoder. - Ahmad Shawahna, Syed Abdul Salam, Mayez Al-Mouhamed:
Seismic Imaging: An Overview and Parallel Implementation of Poststack Depth Migration. - Daniel S. Park, Yu Zhang, Chung-Cheng Chiu, Youzheng Chen, Bo Li, William Chan, Quoc V. Le, Yonghui Wu:
SpecAugment on Large Scale Datasets. - Gregory D. Kahanamoku-Meyer:
Forging quantum data: classically defeating an IQP-based quantum test. - Hanna Hottenrott, Michael E. Rose, Cornelia Lawson:
The Rise of Multiple Institutional Affiliations. - Amin Bemani, Alireza Baghban, Shahaboddin Shamshirband, Amir Mosavi, Peter Csiba, Annamária R. Várkonyi-Kóczy:
Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO2. - Seung Hwan Hong, Jaechang Lim, Seongok Ryu, Woo Youn Kim:
Molecular Generative Model Based On Adversarially Regularized Autoencoder. - Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon:
Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information. - Kadir Gümüs, Alex Alvarado, Bin Chen, Christian Häger, Erik Agrell:
End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information. - Stephanie C. Y. Chan, Sam Fishman, John F. Canny, Anoop Korattikara, Sergio Guadarrama:
Measuring the Reliability of Reinforcement Learning Algorithms. - Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu:
Learned Variable-Rate Image Compression with Residual Divisive Normalization. - Baekjin Kim, Ambuj Tewari:
Near-optimal Oracle-efficient Algorithms for Stationary and Non-Stationary Stochastic Linear Bandits. - Alberto Del Pia, Carla Michini:
Short simplex paths in lattice polytopes. - Badr-Eddine Chérief-Abdellatif, Pierre Alquier:
Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence. - Ramtin Hosseini, Neda Hassanpour, Li-Ping Liu, Soha Hassoun:
Pathway Activity Analysis and Metabolite Annotation for Untargeted Metabolomics using Probabilistic Modeling. - Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki:
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. - Ahmed Hussen Abdelaziz, Shuo-Yiin Chang, Nelson Morgan, Erik Edwards, Dorothea Kolossa, Dan Ellis, David A. Moses, Edward F. Chang:
On Neural Phone Recognition of Mixed-Source ECoG Signals. - Orazio Angelini, Alexis Moinet, Kayoko Yanagisawa, Thomas Drugman:
Singing Synthesis: with a little help from my attention. - Giuseppe Nuti, Lluís Antoni Jiménez Rugama, Kaspar Thommen:
Adaptive Reticulum. - (Withdrawn) Prediction and optimization of NaV1.7 inhibitors based on machine learning methods.
- Xuewen Yao, Dong He, Tiancheng Jing, Kaya de Barbaro:
Measuring Mother-Infant Emotions By Audio Sensing. - (Withdrawn) Leveraging End-to-End Speech Recognition with Neural Architecture Search.
- Zoé Lambert, Caroline Petitjean, Bernard Dubray, Su Ruan:
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. - Bruno Scalzo Dees, Anthony G. Constantinides, Danilo P. Mandic:
Graph Theory and Metro Traffic Modelling. - Yucheng Zhu, Dandan Zhu, Yiwei Yang, Huiyu Duan, Qiangqiang Zhou, Xiongkuo Min, Jiantao Zhou, Guangtao Zhai, Xiaokang Yang:
A Saliency Dataset of Head and Eye Movements for Augmented Reality. - Topik Teguh Estu, Mee Seong Im, Benjamin Manning, Zachary Michaels, Joseph Pasko, William Rulla, Nishan Wijesinghe:
Examples relating to Green's conjecture in low characteristics and genera. - Liang Zhao, Brendan E. Odigwe, Susan M. Lessner, Daniel G. Clair, Firas Mussa, Homayoun Valafar:
Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques. - Kexin Zhang, Gencer Sumbul, Begüm Demir:
An Approach to Super-Resolution of Sentinel-2 Images Based on Generative Adversarial Networks. - Thomas Hubregtsen, Christoph Segler, Josef Pichlmeier, Aritra Sarkar, Thomas Gabor, Koen Bertels:
Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions. - Pranay Sharma, Prashant Khanduri, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney:
Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity. - Chong Han, Yongzhi Wu, Zhi Chen, Xudong Wang:
Terahertz Communications (TeraCom): Challenges and Impact on 6G Wireless Systems. - He Jia, Uros Seljak:
Normalizing Constant Estimation with Gaussianized Bridge Sampling. - Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier:
Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics. - James P. Horwath, Dmitri N. Zakharov, Rémi Mégret, Eric A. Stach:
Understanding Important Features of Deep Learning Models for Transmission Electron Microscopy Image Segmentation. - Francesco De Lellis, Fabrizia Auletta, Giovanni Russo, Pietro De Lellis, Mario di Bernardo:
Control-Tutored Reinforcement Learning. - Hope Jasperson, Chas Bolton, Paul Johnson, Chris Marone, Maarten V. de Hoop:
Unsupervised classification of acoustic emissions from catalogs and fault time-to-failure prediction. - Elias Riedel Gårding, Nicolas Schwaller, Su Yeon Chang, Samuel Bosch, Willy Robert Laborde, Javier Naya Hernandez, Chun Lam Chan, Frédéric Gessler, Xinyu Si, Marc-André Dupertuis, Nicolas Macris:
Bell Diagonal and Werner state generation: entanglement, non-locality, steering and discord on the IBM quantum computer. - Simon Becker, Carsten Hartmann, Martin Redmann, Lorenz Richter:
Feedback control theory & Model order reduction for stochastic equations. - Hualong Feng:
Boundary layer in linear viscoelasticity. - Ming Yan, Tongjiang Yan, Yu Li:
Computing the 2-adic complexity of two classes of Ding-Helleseth generalized cyclotomic sequences of period of twin prime products. - Nick James, Max Menzies, Jennifer Chan:
A new method for similarity and anomaly detection in cryptocurrency markets. - Priyanka Patki, Francesco Costanzo:
A mixture theory-based finite element formulation for the study of biodegradation of poroelastic scaffolds. - Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, Lane McIntosh, Stephen A. Baccus, Surya Ganguli:
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction. - Dan Zhu, Rosemary A. Renaut, Hongwei Li, Tianyou Liu:
Fast non-convex low-rank matrix decomposition for separation of potential field data using minimal memory. - Daniel Dadush, Sophie Huiberts, Bento Natura, László A. Végh:
A scaling-invariant algorithm for linear programming whose running time depends only on the constraint matrix. - Oskar Ljungqvist, Daniel Axehill:
A predictive path-following controller for multi-steered articulated vehicles. - Oskar Ljungqvist, Kristoffer Bergman, Daniel Axehill:
Optimization-based motion planning for multi-steered articulated vehicles. - Elvis A. Eugene, Xian Gao, Alexander W. Dowling:
Learning and Optimization with Bayesian Hybrid Models. - Ye Yuan, Jianguo Sun, Jian Guan, Pengming Feng, Yanxia Wu:
A Practical Solution for SAR Despeckling with Only Single Speckled Images. - Shripad Gade, Anna Winnicki, Subhonmesh Bose:
On Privatizing Equilibrium Computation in Aggregate Games over Networks. - Hossein Zeinali, Kong Aik Lee, Jahangir Alam, Lukás Burget:
Short-duration Speaker Verification (SdSV) Challenge 2020: the Challenge Evaluation Plan. - Runxiong Wu, Xin Chen:
MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection. - Haojie Liu, Han Shen, Lichao Huang, Ming Lu, Tong Chen, Zhan Ma:
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration. - Shi Dong, Benjamin Van Roy, Zhengyuan Zhou:
Provably Efficient Reinforcement Learning with Aggregated States. - Francesco Concas, Julien Mineraud, Eemil Lagerspetz, Samu Varjonen, Kai Puolamäki, Petteri Nurmi, Sasu Tarkoma:
A Gap Analysis of Low-Cost Outdoor Air Quality Sensor In-Field Calibration. - Pedro Delicado, Daniel Peña:
Understanding complex predictive models with Ghost Variables. - Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier:
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. - Thomas L. Carroll:
Dimension of Reservoir Computers. - Sergei A. Plotnikov, Alexander L. Fradkov:
Desynchronization in Oscillatory Networks Based on Yakubovich Oscillatority. - Falko Baustian, Katerina Filipová, Jan Pospisil:
Solution of option pricing equations using orthogonal polynomial expansion. - Zhidong He:
Optimization of convergence rate via algebraic connectivity. - Alexander Muryy, N. Siddharth, Nantas Nardelli, Andrew Glennerster, Philip H. S. Torr:
Lessons from reinforcement learning for biological representations of space. - Jyoti Maggu, Prerna Singh, Angshul Majumdar:
Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis. - Behnam Kiani Kalejahi, Saeed Meshgini, Sabalan Daneshvar:
Bone Age Estimation by Deep Learning in X-Ray Medical Images. - Naim U. Rashid, Daniel J. Luckett, Jingxiang Chen, Michael T. Lawson, Longshaokan Wang, Yunshu Zhang, Eric B. Laber, Yufeng Liu, Jen Jen Yeh, Donglin Zeng, Michael R. Kosorok:
High dimensional precision medicine from patient-derived xenografts. - Gilmer Valdes, Yannet Interian, Efstathios D. Gennatas, Mark J. van der Laan:
Conditional Super Learner. - Claas Flint, Micah Cearns, Nils Opel, Ronny Redlich, David M. A. Mehler, Daniel Emden, Nils R. Winter, Ramona Leenings, Simon B. Eickhoff, Tilo Kircher, Axel Krug, Igor Nenadic, Volker Arolt, Scott Clark, Bernhard T. Baune, Xiaoyi Jiang, Udo Dannlowski, Tim Hahn:
Systematic Overestimation of Machine Learning Performance in Neuroimaging Studies of Depression. - Valeriy Avanesov:
Frequentist Consistency of Gaussian Process Regression. - Mogens Graf Plessen:
A posteriori Trading-inspired Model-free Time Series Segmentation. - Riccardo Aragona, Marco Calderini, Roberto Civino:
Some group-theoretical results on Feistel Networks in a long-key scenario. - Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer:
Parameter-Conditioned Sequential Generative Modeling of Fluid Flows. - Steven W. Ellingson:
Path Loss in Reconfigurable Intelligent Surface-Enabled Channels. - Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander G. Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang:
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics. - Valentina De Simone, Daniela di Serafino, Marco Viola:
A subspace-accelerated split Bregman method for sparse data recovery with joint l1-type regularizers. - Wen-Chin Huang, Tomoki Hayashi, Yi-Chiao Wu, Hirokazu Kameoka, Tomoki Toda:
Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining. - José Pedro Gaivão, Telmo Peixe:
Periodic attractor in the discrete time best-response dynamics of the Rock-Paper-Scissors game. - Geoffrey Wolfer:
Mixing Time Estimation in Ergodic Markov Chains from a Single Trajectory with Contraction Methods. - Alexandru Iosif, Hamid Rahkooy:
Analysis of the Conradi-Kahle Algorithm for Detecting Binomiality on Biological Models. - Ievgen V. Bondarenko, Jan Philipp Wächter:
On Orbits and the Finiteness of Bounded Automaton Groups. - Mingyu Yang, Roger Hsiao, Gordy Carichner, Katherine Ernst, Jaechan Lim, Delbert A. Green II, Inhee Lee, David T. Blaauw, Hun-Seok Kim:
Migrating Monarch Butterfly Localization Using Multi-Sensor Fusion Neural Networks. - Yuki Tamura, Hadi Hosseini:
The Crawler: Two Equivalence Results for Object (Re)allocation Problems when Preferences Are Single-peaked. - Javier Pulgar, Cristian Candia, Paul M. Leonardi:
Cooperation is not enough: The role of instructional strategies in cooperative learning in higher education. - Victoria Rayskin:
Dynamical systems' models for the prediction of multi-variable time series. Wikipedia's traffic example. - Seyyed Aliasghar Hosseini, Bojan Mohar, Sebastián González Hermosillo de la Maza:
Meyniel's conjecture on graphs of bounded degree. - Steve Yadlowsky, Fabio Pellegrini, Federica Lionetto, Stefan Braune, Lu Tian:
Estimation and Validation of a Class of Conditional Average Treatment Effects Using Observational Data. - Weinan E, Chao Ma, Lei Wu:
On the Generalization Properties of Minimum-norm Solutions for Over-parameterized Neural Network Models. - Amir Bahador Parsa, Rishabh Singh Chauhan, Homa Taghipour, Sybil Derrible, Abolfazl (Kouros) Mohammadian:
Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data. - Giulia Marcucci, Davide Pierangeli, Claudio Conti:
Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons. - Antonio Quintero-Rincón, Valeria Muro, Carlos D'Giano, Jorge Prendes, Hadj Batatia:
A novel spike-and-wave automatic detection in EEG signals. - Zhengfang Duanmu, Wentao Liu, Zhuoran Li, Zhou Wang:
Characterizing Generalized Rate-Distortion Performance of Videos. - Hugh L. Kennedy:
Digital filters with vanishing moments for shape analysis. - Damek Davis, Dmitriy Drusvyatskiy:
Active strict saddles in nonsmooth optimization. - Wenhan Yang, Robby T. Tan, Shiqi Wang, Yuming Fang, Jiaying Liu:
Single Image Deraining: From Model-Based to Data-Driven and Beyond. - Tianyi Lin, Michael I. Jordan:
A Control-Theoretic Perspective on Optimal High-Order Optimization. - Nuobei Xie, Kuang Gong, Ning Guo, ZhiXin Qin, Zhifang Wu, Huafeng Liu, Quanzheng Li:
Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding. - Lucie Lévêque, Soumyabrata Dev, Murhaf Hossari, Yee Hui Lee, Stefan Winkler:
Subjective Quality Assessment of Ground-based Camera Images. - Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya:
Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms. - Seyyed Aliasghar Hosseini, Fiachra Knox, Bojan Mohar:
Cops and Robbers on graphs of bounded diameter. - Mohammed S. Majdi, Mahesh Bharath Keerthivasan, Brian K. Rutt, Natalie M. Zahr, Jeffrey J. Rodríguez, Manojkumar Saranathan:
Robust Automated Thalamic Nuclei Segmentation using a Multi-planar Cascaded Convolutional Neural Network. - Yukun Zhang, Longsheng Zhou:
Fairness Assessment for Artificial Intelligence in Financial Industry. - Xiaoqing Guo, Chen Yang, Pak Lun Lam, Yat Ming Peter Woo, Yixuan Yuan:
Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction. - Xiuming Liu, Dave Zachariah, Petre Stoica:
Robust Prediction when Features are Missing. - Preetum Nakkiran:
More Data Can Hurt for Linear Regression: Sample-wise Double Descent. - Xu Liu, Licheng Jiao, Fang Liu:
PolSF: PolSAR image dataset on San Francisco. - Yong Liu, Dongyang Wang, Shichuan Xue, Anqi Huang, Xiang Fu, Xiaogang Qiang, Ping Xu, He-Liang Huang, Mingtang Deng, Chu Guo, Xuejun Yang, Junjie Wu:
Variational Quantum Circuits for Quantum State Tomography. - Ellery Wulczyn, David F. Steiner, Zhaoyang Xu, Apaar Sadhwani, Hongwu Wang, Isabelle Flament, Craig H. Mermel, Po-Hsuan Cameron Chen, Yun Liu, Martin C. Stumpe:
Deep learning-based survival prediction for multiple cancer types using histopathology images. - Angshul Majumdar:
Blind Denoising Autoencoder. - Shikha Singh, Angshul Majumdar:
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification. - Zhyar Rzgar K. Rostam, Sozan Abdullah Mahmood:
Classification of Brainwave Signals Based on Hybrid Deep Learning and an Evolutionary Algorithm. - Piyush Pandita, Nimish Awalgaonkar, Ilias Bilionis, Jitesh H. Panchal:
Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design. - Haolin Fei, Xiaofeng Wu, Chunbo Luo:
A Model-driven and Data-driven Fusion Framework for Accurate Air Quality Prediction. - Yongyi Ran, Xin Zhou, Pengfeng Lin, Yonggang Wen, Ruilong Deng:
A Survey of Predictive Maintenance: Systems, Purposes and Approaches. - Daouda Diouf, Awa Niang, Sylvie Thiria:
Deep Learning based Multiple Regression to Predict Total Column Water Vapor (TCWV) from Physical Parameters in West Africa by using Keras Library. - Sam Shleifer, Clara McCreery, Vamsi Chitters:
Incrementally Improving Graph WaveNet Performance on Traffic Prediction. - Giulio Gambardella, Johannes Kappauf, Michaela Blott, Christoph Doehring, Martin Kumm, Peter Zipf, Kees A. Vissers:
Efficient Error-Tolerant Quantized Neural Network Accelerators. - Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu:
Support Vector Machine Classifier via L0/1 Soft-Margin Loss. - François Golse, Shi Jin, Thierry Paul:
The Random Batch Method for N-Body Quantum Dynamics. - Benjamin Lu, Johanna Hardin:
A Unified Framework for Random Forest Prediction Error Estimation. - Norihiro Yamada:
On the Unity of Logic: a Sequential, Unpolarized Approach. - Vanessa Barros, Jérôme Rousseau:
Shortest distance between multiple orbits and generalized fractal dimensions. - Hao Du, Jiashi Feng, Mengling Feng:
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis. - Janki Mehta, Angshul Majumdar:
RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction. - Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu:
Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems. - Rong Wang, Xiaoni Du, Cuiling Fan, Zhihua Niu:
Infinite families of 2-designs from a class of linear codes related to Dembowski-Ostrom functions. - Prateek R. Srivastava, Purnamrita Sarkar, Grani A. Hanasusanto:
A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models with Outliers. - Vanika Singhal, Jyoti Maggu, Angshul Majumdar:
Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning. - Yang Lu, Minghui Zhu:
On privacy preserving data release of linear dynamic networks. - Jiulong Liu, Angelica I. Avilés-Rivero, Hui Ji, Carola-Bibiane Schönlieb:
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction. - Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya:
Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data. - Przemyslaw Gordinowicz, Pawel Twardowski:
The polynomial method for list-colouring extendability of outerplanar graphs. - Sidra Mehtab, Jaydip Sen:
A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing. - Lucia Larise Stavarache, Donatas Narbutis, Toyotaro Suzumura, Ray Harishankar, Augustas Zaltauskas:
Exploring Multi-Banking Customer-to-Customer Relations in AML Context with Poincaré Embeddings. - Guanghui Lan:
Complexity of Stochastic Dual Dynamic Programming. - Lin Fu, Bruno De Man:
A hierarchical approach to deep learning and its application to tomographic reconstruction. - Shantanu Chakraborty, David Rey, Michael W. Levin, S. Travis Waller:
Benders' decomposition for freeway network design under endogenous autonomous vehicles demand. - Zeyu Deng, Lihui Wang, Zi-Xiang Kuai, Qijian Chen, Xinyu Cheng, Feng Yang, Jie Yang, Yuemin Zhu:
CNN-Based Invertible Wavelet Scattering for the Investigation of Diffusion Properties of the In Vivo Human Heart in Diffusion Tensor Imaging. - Nowshin Tasnim, Mahmudul Hasan, Md Ishrak Islam Zarif:
Comparisonal study of Deep Learning approaches on Retinal OCT Image. - Mohd Ismifaizul Mohd Ismail, Rudzidatul Akmam Dziyauddin, Shafiqa Samsul, Nur Aisyah Azmi, Yoshihide Yamada, Mohd Fitri Mohd Yakub, Noor Azurati Binti Ahmad Salleh:
An RSSI-based Wireless Sensor Node Localisation using Trilateration and Multilateration Methods for Outdoor Environment. - Bohai Li, He Chen, Zheng Dong, Yonghui Li, Branka Vucetic:
Signal Design for AF Relay Systems using Superposition Coding and Finite-Alphabet Inputs. - J. E. Bunder, J. Divahar, Ioannis G. Kevrekidis, Trent W. Mattner, Anthony J. Roberts:
Large-scale simulation of shallow water waves with computation only on small staggered patches. - Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein:
Balancing the Tradeoff Between Clustering Value and Interpretability. - Yingqian Wang, Longguang Wang, Jun-Gang Yang, Wei An, Jingyi Yu, Yulan Guo:
Spatial-Angular Interaction for Light Field Image Super-Resolution. - Donsuk Lee, Yiming Gu, Jerrick Hoang, Micol Marchetti-Bowick:
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks. - Erwan Grelier, Anthony Nouy, Régis Lebrun:
Learning high-dimensional probability distributions using tree tensor networks. - Lukas Kölsch, Katharina Wieninger, Stefan Krebs, Sören Hohmann:
Distributed Frequency and Voltage Control for AC Microgrids based on Primal-Dual Gradient Dynamics. - Travis Greene, Galit Shmueli:
How Personal is Machine Learning Personalization? - Linsong Du, Jianhui Ma, Qinpeng Liang, Youxi Tang:
Multiple Antenna Multicast Transmission Assisted by Reconfigurable Intelligent Surfaces. - Wouter Cames van Batenburg, Gwenaël Joret, Arthur Ulmer:
Erdős-Pósa from ball packing. - Ruifeng Yuan, Sha Liu, Chengwen Zhong:
A multiscale discrete velocity method for model kinetic equations. - Tangxin Xie, Xin Yang, Yu Jia, Chen Zhu, Xiaochuan Li:
Adaptive Densely Connected Super-Resolution Reconstruction. - Changpeng Shao:
Computing eigenvalues of matrices in a quantum computer. - (Withdrawn) The dimension of projections induced by a curve.
- Gourav Modanwal, Adithya Vellal, Maciej A. Mazurowski:
Normalization of breast MRIs using Cycle-Consistent Generative Adversarial Networks. - Rodrigo A. González, Cristian R. Rojas:
A Finite-Sample Deviation Bound for Stable Autoregressive Processes. - Yoshua Bengio, Emma Frejinger, Andrea Lodi, Rahul Patel, Sriram Sankaranarayanan:
A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs. - Gang Li, Jan Zrimec, Boyang Ji, Jun Geng, Johan Larsbrink, Aleksej Zelezniak, Jens Nielsen, Martin K. M. Engqvist:
Performance of regression models as a function of experiment noise. - Daniel Coelho de Castro, Ian Walker, Ben Glocker:
Causality matters in medical imaging. - Manuel Radons:
Generalized Perron Roots and Solvability of the Absolute Value Equation. - Julien Mairal:
Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more. - Matteo Rucco:
Fast Glioblastoma Detection in Fluid-attenuated inversion recovery (FLAIR) images by Topological Explainable Automatic Machine Learning. - Adrián Hernández, José M. Amigó:
Differentiable programming and its applications to dynamical systems. - Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
AeroRIT: A New Scene for Hyperspectral Image Analysis. - Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian:
Deep Radar Waveform Design for Efficient Automotive Radar Sensing. - Hwiyoung Lee, Vic Patrangenaru:
Extrinsic Kernel Ridge Regression Classifier for Planar Kendall Shape Space. - Andrea Mari, Thomas R. Bromley, Josh A. Izaac, Maria Schuld, Nathan Killoran:
Transfer learning in hybrid classical-quantum neural networks. - Roy R. Lederman, Stefan Steinerberger:
Extreme Values of the Fiedler Vector on Trees. - Stephen Whitelam, Isaac Tamblyn:
Learning to grow: control of materials self-assembly using evolutionary reinforcement learning. - Enrique del Castillo, Rainer Göb:
A Bivariate Dead Band Process Adjustment Policy. - Orlando Romero, Mouhacine Benosman:
Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions. - Farzana Nasrin, Christopher Oballe, David L. Boothe, Vasileios Maroulas:
Bayesian Topological Learning for Brain State Classification. - Makena Low, Priyanka Raina:
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks. - V. Jeya Maria Jose, Rajeev Yasarla, Puyang Wang, Ilker Hacihaliloglu, Vishal M. Patel:
Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data. - YeongHyeon Park, Il Dong Yun, Si-Hyuck Kang:
The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method. - Sebastian W. Ober, Carl Edward Rasmussen:
Benchmarking the Neural Linear Model for Regression. - Javier Felip, Nilesh A. Ahuja, Omesh Tickoo:
Tree pyramidal adaptive importance sampling. - Gaël Poux-Médard, Romualdo Pastor-Satorras, Claudio Castellano:
Influential spreaders for recurrent epidemics on networks. - Thilo von Neumann, Keisuke Kinoshita, Lukas Drude, Christoph Böddeker, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach:
End-to-end training of time domain audio separation and recognition. - Alexander E. Ulanov, Egor S. Tiunov, A. I. Lvovsky:
Quantum-inspired annealers as Boltzmann generators for machine learning and statistical physics. - Zahra Baghali Khanian, Andreas J. Winter:
General Mixed State Quantum Data Compression with and without Entanglement Assistance. - Anastasia Borovykh:
Analytic expressions for the output evolution of a deep neural network. - Peter Händel, Özlem Tugfe Demir, Emil Björnson, Daniel Rönnow:
Impact of Backward Crosstalk in 2x2 MIMO Transmitters on NMSE and Spectral Efficiency. - Dusan Jakovetic, Dragana Bajovic, João Xavier, José M. F. Moura:
Primal-dual optimization methods for large-scale and distributed data analytics. - Angela Sara Cacciapuoti, Marcello Caleffi:
Capacity Bounds for Quantum Communications through Quantum Trajectories. - Håvard Kvamme, Ørnulf Borgan:
The Brier Score under Administrative Censoring: Problems and Solutions. - Si Wei Feng, Jingjin Yu:
Optimal Perimeter Guarding with Heterogeneous Robot Teams: Complexity Analysis and Effective Algorithms. - Chen Wu, Hongruixuan Chen, Bo Du, Liangpei Zhang:
Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network. - Luca Damonte, Giacomo Como, Fabio Fagnani:
Systemic risk and network intervention. - Sreejith Kallummil, Sheetal Kalyani:
Generalized Residual Ratio Thresholding. - Mohammad Mahdi Share Pasand:
A Generalized Cubic Observer for State Estimation of Linear Systems. - Nicholas Bornman, Andrew Forbes, Achim Kempf:
Random number generation & distribution out of thin (or thick) air. - Ilaria Bonavita, Xavier Rafael-Palou, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester:
Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline. - Karl Granström, Lennart Svensson, Yuxuan Xia, Jason L. Williams, Ángel F. García-Fernández:
Poisson Multi-Bernoulli Mixtures for Sets of Trajectories. - Axel Ringh, Johan Karlsson, Anders Lindquist:
An analytic interpolation approach to stability margins with emphasis on time delay. - Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis:
Clusters in Explanation Space: Inferring disease subtypes from model explanations. - Erel Segal-Halevi:
The Maximin Share Dominance Relation. - Muhammed Talo:
An Automated Deep Learning Approach for Bacterial Image Classification. - Nick Johnston, Elad Eban, Ariel Gordon, Johannes Ballé:
Computationally Efficient Neural Image Compression. - Darvin Yi, Endre Grøvik, Michael Iv, Elisabeth Tong, Kyrre Eeg Emblem, Line Brennhaug Nilsen, Cathrine Saxhaug, Anna Latysheva, Kari Dolven Jacobsen, Åslaug Helland, Greg Zaharchuk, Daniel L. Rubin:
MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation. - Firuz Kamalov:
Forecasting significant stock price changes using neural networks. - José Chávez, Rensso Mora, Edward J. Y. Cayllahua Cahuina:
Ambient Lighting Generation for Flash Images with Guided Conditional Adversarial Networks. - Andrew M. Childs, Yuan Su, Minh C. Tran, Nathan Wiebe, Shuchen Zhu:
A Theory of Trotter Error. - Sheroze Sheriffdeen, Jean C. Ragusa, Jim E. Morel, Marvin L. Adams, Tan Bui-Thanh:
Accelerating PDE-constrained Inverse Solutions with Deep Learning and Reduced Order Models. - Mathias Edman, Neil Dhir:
Boltzmann Exploration Expectation-Maximisation. - Karina Koval, Alen Alexanderian, Georg Stadler:
Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs. - Claude Crépeau, Arnaud Massenet, Louis Salvail, Lucas Stinchcombe, Nan Yang:
Practical Relativistic Zero-Knowledge for NP. - Xiaoxiao Miao, Ian McLoughlin:
LSTM-TDNN with convolutional front-end for Dialect Identification in the 2019 Multi-Genre Broadcast Challenge. - Diego Granziol, Robin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts:
A Maximum Entropy approach to Massive Graph Spectra. - Alexis Bellot, Mihaela van der Schaar:
A Bayesian Approach to Modelling Longitudinal Data in Electronic Health Records. - Alireza Javaheri, Catarina Brites, Fernando Pereira, João Ascenso:
Point Cloud Rendering after Coding: Impacts on Subjective and Objective Quality. - Aristotelis-Angelos Papadopoulos, Ioannis Kordonis, Maged M. Dessouky, Petros A. Ioannou:
Personalized Pareto-Improving Pricing Schemes with Truthfulness Guarantees for Near-Optimum Traffic Assignment: An Alternative Approach to Congestion Pricing. - Jingzhi Hu, Hongliang Zhang, Boya Di, Lianlin Li, Lingyang Song, Yonghui Li, Zhu Han, H. Vincent Poor:
Reconfigurable Intelligent Surfaces based RF Sensing: Design, Optimization, and Implementation. - Jian-Guo Liu, Jinhuan Wang, Zhennan Zhou, Yu Zhao:
Field model for complex ionic fluids: analytical properties and numerical investigation. - Julie Sliwak, Miguel F. Anjos, Lucas Létocart, Jean Maeght, Emiliano Traversi:
Improving Clique Decompositions of Semidefinite Relaxations for Optimal Power Flow Problems. - Khe Chai Sim, Françoise Beaufays, Arnaud Benard, Dhruv Guliani, Andreas Kabel, Nikhil Khare, Tamar Lucassen, Petr Zadrazil, Harry Zhang, Leif Johnson, Giovanni Motta, Lillian Zhou:
Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entities. - Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert:
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction. - Minh H. Vu, Guus Grimbergen, Tufve Nyholm, Tommy Löfstedt:
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation. - Siavash Arjomand Bigdeli, David Honzátko, Sabine Süsstrunk, L. Andrea Dunbar:
Image Restoration using Plug-and-Play CNN MAP Denoisers. - Caifa Zhou:
Feature-wise change detection and robust indoor positioning using RANSAC-like approach. - Yeva Gevorgyan, Gwenaël Boué, Clodoaldo Ragazzo, Lucas S. Ruiz, Alexandre C. M. Correia:
Andrade rheology in time-domain. Application to Enceladus' dissipation of energy due to forced libration. - Qiang Li, Xiaoyi Cui, Sissi Xiaoxiao Wu, Jingran Lin:
Sum Rate Maximization for Multiuser MISO Downlink with Intelligent Reflecting Surface. - Uwe Petersohn, Thomas Dedek, Sandra Zimmer, Hans Biskupski:
Causal statistical modeling and calculation of distribution functions of classification features. - José A. Carrillo, Bertram Düring, Lisa Maria Kreusser, Carola-Bibiane Schönlieb:
Equilibria of an anisotropic nonlocal interaction equation: Analysis and numerics. - Sascha Kurz:
LinCode - computer classification of linear codes. - Bryan Lim, Sercan Ömer Arik, Nicolas Loeff, Tomas Pfister:
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting. - David T. O. Oyedokun, Michael Heyns, Pierre J. Cilliers, C. T. Gaunt:
Frequency Components of Geomagnetically Induced Currents for Power System Modelling. - Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Marc Kachelrieß, Marc Dewey, Christian Wald, Christoph Kolbitsch:
Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging. - Xinyu Xiao, Qiuming Kuang, Shiming Xiang, Junnan Hu, Chunhong Pan:
Precipitation Forecasting via Multi-Scale Deconstructed ConvLSTM. - Dhiman Chowdhury, Mrinmoy Sarkar:
Location Forensics Analysis Using ENF Sequences Extracted from Power and Audio Recordings. - Jasmine Sekhon, Cody H. Fleming:
A Spatially and Temporally Attentive Joint Trajectory Prediction Framework for Modeling Vessel Intent. - Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour:
Safe non-smooth black-box optimization with application to policy search. - Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour:
Log Barriers for Safe Non-convex Black-box Optimization. - Dionysios S. Kalogerias, Warren B. Powell:
Zeroth-order Stochastic Compositional Algorithms for Risk-Aware Learning. - Rewa Sood, Mirabela Rusu:
Anisotropic Super Resolution in Prostate MRI using Super Resolution Generative Adversarial Networks. - Rewa Sood, Binit Topiwala, Karthik Choutagunta, Rohit Sood, Mirabela Rusu:
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging. - Zhe Liu:
Statistical Testing on ASR Performance via Blockwise Bootstrap. - Carlos Campos, Cristiana J. Silva, Delfim F. M. Torres:
Numerical Optimal Control of HIV Transmission in Octave/MATLAB. - Jeremy R. Ash, Jacqueline M. Hughes-Oliver:
Confidence Bands and Hypothesis Test Methods for Recall and Precision Curves at Extremely Small Fractions with Applications to Drug Discovery. - Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato:
Learning Convex Optimization Control Policies. - Tien Mai, Patrick Jaillet:
Robust Multi-product Pricing under General Extreme Value Models. - Erik M. Bollt:
Geometric Considerations of a Good Dictionary for Koopman Analysis of Dynamical Systems. - Behnam Kiani Kalejahi, Saeed Meshgini, Sabalan Daneshvar, Shiva Asadzadeh:
Diagnosis of liver disease using computer-assisted imaging techniques: A Review. - Andres Potapczynski, Gabriel Loaiza-Ganem, John P. Cunningham:
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax. - Eric Geiger, Irina A. Kogan:
Non-congruent non-degenerate curves with identical signatures. - Rui Duan, Yang Ning, Yong Chen:
Heterogeneity-aware and communication-efficient distributed statistical inference. - Diego Granziol, Xingchen Wan, Timur Garipov, Dmitry P. Vetrov, Stephen Roberts:
MLRG Deep Curvature. - Hao Liu, Hui Yuan, Qi Liu, Junhui Hou, Ju Liu:
A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression. - Aliaksandr Hubin:
An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models. - Angela Rita Provenzano, Daniele Trifirò, Nicola Jean, Giacomo Le Pera, Maurizio Spadaccino, Luca Massaron, Claudio Nordio:
An Artificial Intelligence approach to Shadow Rating. - Antonio Esposito, Francesco S. Patacchini, André Schlichting, Dejan Slepcev:
Nonlocal-interaction equation on graphs: gradient flow structure and continuum limit. - Xiangxiang Qin:
Transfer Learning with Edge Attention for Prostate MRI Segmentation. - Sima Mehri, Erfan Salavati, Bijan Z. Zangeneh:
Discretizations of Stochastic Evolution Equations in Variational Approach Driven by Jump-Diffusion. - Omar Sultan Al-Kadi, Daniel Y. F. Chung, Constantin-C. Coussios, J. Alison Noble:
Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors. - Jonathan Klein, Martin Laurenzis, Matthias B. Hullin, Julian Iseringhausen:
A Calibration Scheme for Non-Line-of-Sight Imaging Setups. - Wenyi Hu, Yuchen Jin, Xuqing Wu, Jiefu Chen:
Progressive transfer learning for low frequency data prediction in full waveform inversion. - James Townsend, Thomas Bird, Julius Kunze, David Barber:
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models. - Mario Manzo:
Attributed Relational SIFT-based Regions Graph (ARSRG): concepts and applications. - Guilherme S. Costa, Silvio C. Ferreira:
Non massive immunization to contain spreading on complex networks. - Ylenia Giarratano, Eleonora Bianchi, Calum D. Gray, Andrew Morris, Tom J. MacGillivray, Baljean Dhillon, Miguel O. Bernabeu:
Automated and Network Structure Preserving Segmentation of Optical Coherence Tomography Angiograms. - Zhe Qu, Hai Shu:
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets. - Rafat Damseh, Patrick Delafontaine-Martel, Philippe Pouliot, Farida Cheriet, Frederic Lesage:
Laplacian Flow Dynamics on Geometric Graphs for Anatomical Modeling of Cerebrovascular Networks. - Federico Ardila:
CAT(0) geometry, robots, and society. - Alejandro Osses Vecchi, Sarah Verhulst:
Calibration and reference simulations for the auditory periphery model of Verhulst et al 2018 version 1.2. - Ahmet M. Elbir, Kumar Vijay Mishra:
Deep Learning Strategies For Joint Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO Systems. - Abraham Westerbaan, Bas Westerbaan, John van de Wetering:
A characterization of ordered abstract probabilities. - Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen, Lajos Hanzo:
Reconfigurable Intelligent Surface Aided NOMA Networks. - Jesse S. F. Levitt, Mustafa Hajij, Radmila Sazdanovic:
Big Data Approaches to Knot Theory: Understanding the Structure of the Jones Polynomial. - Matthew Kollada, Qingzhu Gao, Monika S. Mellem, Tathagata Banerjee, William J. Martin:
A Generalizable Method for Automated Quality Control of Functional Neuroimaging Datasets. - Oscar Zatarain-Vera:
A vector-contraction inequality for Rademacher complexities using p-stable variables. - Lenny Fukshansky, Alexander Hsu:
Covering point-sets with parallel hyperplanes and sparse signal recovery. - Lin Lin, Xiaojie Wu:
Numerical solution of large scale Hartree-Fock-Bogoliubov equations. - Christopher J. Cueva, Peter Y. Wang, Matthew Chin, Xue-Xin Wei:
Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks. - Yacine Chitour, Nicola Guglielmi, Mario Sigalotti, Vladimir Protasov:
Switching systems with dwell time: computation of the maximal Lyapunov exponent. - Ilia Ponomarenko, Andrey Vasil'ev:
Two-closure of supersolvable permutation group in polynomial time. - Omar Sultan Al-Kadi:
Spatio-Temporal Segmentation in 3D Echocardiographic Sequences using Fractional Brownian Motion. - Ruhul Amin, Chowdhury Rafeed Rahman, Md. Habibur Rahman Sifat, Md Nazmul Khan Liton, Md. Moshiur Rahman, Swakkhar Shatabda, Sajid Ahmed:
iPromoter-BnCNN: a Novel Branched CNN Based Predictor for Identifying and Classifying Sigma Promoters. - Yun-Bin Zhao, Zhi-Quan Luo:
Analysis of Optimal Thresholding Algorithms for Compressed Sensing. - Patrick Michl:
Foundations of Structural Statistics: Topological Statistical Theory. - Nan Wang, Yabin Zhou, Fenglei Han, Haitao Zhu, Yaojing Zheng:
UWGAN: Underwater GAN for Real-world Underwater Color Restoration and Dehazing. - Marcelo E. Coniglio, Aldo Figallo Orellano, Ana Claudia Golzio:
First-order swap structures semantics for some Logics of Formal Inconsistency. - Tobia Calogiuri, Gianpaolo Ghiani, Emanuela Guerriero, Emanuele Manni:
The multi-period p-center problem with time-dependent travel times. - Michel Kulhandjian, Ebrahim Bedeer, Hovannes Kulhandjian, Claude D'Amours, Halim Yanikomeroglu:
Low-Complexity Detection for Faster-than-Nyquist Signaling based on Probabilistic Data Association. - Michael Cantoni, Chung-Yao Kao, Mark A. Fabbro:
Integral quadratic constraints for asynchronous sample-and-hold links. - You Chen, Ping Li, Xueliang Li, Yindi Weng:
Complexity results for the proper disconnection of graphs. - Waseem Abbas, Muhammad Haroon Shakeel, Numan Khurshid, Murtaza Taj:
Patch-based Generative Adversarial Network Towards Retinal Vessel Segmentation. - Iwan M. Duursma, Xiao Li:
Johnson Graph Codes. - Mohammad Mahdi Share Pasand:
Cubic Observers for a Class of Nonlinear Systems with Input and output delays. - Francesco Sanna Passino, Anna S. Bertiger, Joshua C. Neil, Nicholas A. Heard:
Link prediction in dynamic networks using random dot product graphs. - Juntae Kim, Jaesung Bae, Minsoo Hahn:
End-Point Detection with State Transition Model based on Chunk-Wise Classification. - Stephanie Elisabeth Galaitsi, Benjamin D. Trump, Jeffrey M. Keisler, Igor Linkov:
The Need to Reconcile Concepts that Characterize Systems Withstanding Threats. - Alonso Ali, Orlando Lee:
Two novel results on the existence of 3-kernels in digraphs. - Corentin Briat:
A biology-inspired approach to the positive integral control of positive systems - the antithetic, exponential, and logistic integral controllers. - Angelos Filos, Sebastian Farquhar, Aidan N. Gomez, Tim G. J. Rudner, Zachary Kenton, Lewis Smith, Milad Alizadeh, Arnoud de Kroon, Yarin Gal:
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks. - William Lochet:
The shortest disjoint paths problem. - Siming Yan, Xuyang Fang, Bowen Xiao, Harold Rockwell, Yimeng Zhang, Tai Sing Lee:
Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks. - Jennifer Anne Steeden, Michael Quail, Alexander Gotschy, Andreas Hauptmann, Simon R. Arridge, Rodney Jones, Vivek Muthurangu:
Rapid Whole-Heart CMR with Single Volume Super-resolution. - Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester:
Re-Identification and Growth Detection of Pulmonary Nodules without Image Registration Using 3D Siamese Neural Networks. - Vishal Monga, Yuelong Li, Yonina C. Eldar:
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing. - Vahid Noormofidi, Susan R. Atlas, Huaiyu Duan:
Simulating collective neutrinos oscillations on the Intel Many Integrated Core (MIC) architecture. - Hiroshi Haramoto:
Study on upper limit of sample sizes for a two-level test in NIST SP800-22. - Takashi Goda, Kei Ishikawa:
Multilevel Monte Carlo estimation of log marginal likelihood. - Paolo Perrone:
Notes on Category Theory with examples from basic mathematics. - Mostafa Sadeghi, Xavier Alameda-Pineda:
Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement. - Jeongho Kim, Insoon Yang:
Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time. - Minoru Kusaba, Chang Liu, Yukinori Koyama, Kiyoyuki Terakura, Ryo Yoshida:
Recreation of the Periodic Table with an Unsupervised Machine Learning Algorithm. - Mathieu Carrière, Bertrand Michel:
Approximation of Reeb spaces with Mappers and Applications to Stochastic Filters. - Ge Chen, Wei Su, Songyuan Ding, Yiguang Hong:
Heterogeneous Hegselmann-Krause Dynamics with Environment and Communication Noise. - Jaouad Mourtada, Stéphane Gaïffas:
An improper estimator with optimal excess risk in misspecified density estimation and logistic regression. - Vanika Singhal, Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar:
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. - Vanika Singhal, Angshul Majumdar:
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification. - Xinyi Li, Yinchuan Li, Hongyang Yang, Liuqing Yang, Xiao-Yang Liu:
DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. - Mehrzad Saremi, Maryam Amirmazlaghani:
Reconstruction of Gene Regulatory Networks usingMultiple Datasets. - Siming Bayer, Xia Zhong, Weilin Fu, Nishant Ravikumar, Andreas Maier:
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach. - Sanjaye Ramgoolam, Mehrnoosh Sadrzadeh, Lewis Sword:
Gaussianity and typicality in matrix distributional semantics. - Yusen Wu, Chao-Hua Yu, Su-Juan Qin, Qiaoyan Wen, Fei Gao:
Bayesian machine learning for Boltzmann machine in quantum-enhanced feature spaces. - Ari Frankel, Reese E. Jones, Laura P. Swiler:
Tensor Basis Gaussian Process Models of Hyperelastic Materials. - Michaela Hiller, Eberhard Triesch, Arie M. C. A. Koster:
On the Burning Number of p-Caterpillars. - Georges Griso, Julia Orlik, Stephan Wackerle:
Asymptotic Behavior for Textiles in von-K{á}rm{á}n regime. - Juan Ferrer Meleiro, Hugo Luiz Mariano:
Formalizing the Curry-Howard Correspondence. - Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
A physics-aware machine to predict extreme events in turbulence. - Yuhua Chen, Dan Ruan, Jiayu Xiao, Lixia Wang, Bin Sun, Rola Saouaf, Wensha Yang, Debiao Li, Zhaoyang Fan:
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks. - Preeti Gopal, Sharat Chandran, Imants D. Svalbe, Ajit Rajwade:
Low radiation tomographic reconstruction with and without template information. - William Lotter, Abdul Rahman Diab, Bryan Haslam, Jiye G. Kim, Giorgia Grisot, Eric Wu, Kevin Wu, Jorge Onieva Onieva, Jerrold L. Boxerman, Meiyun Wang, Mack Bandler, Gopal Vijayaraghavan, A. Gregory Sorensen:
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach. - Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile:
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines. - Chanwoo Kim, Sungsoo Kim, Kwangyoun Kim, Mehul Kumar, Jiyeon Kim, Kyungmin Lee, Changwoo Han, Abhinav Garg, Eunhyang Kim, Minkyoo Shin, Shatrughan Singh, Larry Heck, Dhananjaya Gowda:
end-to-end training of a large vocabulary end-to-end speech recognition system. - Chanwoo Kim, Mehul Kumar, Kwangyoun Kim, Dhananjaya Gowda:
power-law nonlinearity with maximally uniform distribution criterion for improved neural network training in automatic speech recognition. - Yeshwanth Cherapanamjeri, Samuel B. Hopkins, Tarun Kathuria, Prasad Raghavendra, Nilesh Tripuraneni:
Algorithms for Heavy-Tailed Statistics: Regression, Covariance Estimation, and Beyond. - Maarten V. de Hoop, Matti Lassas, Christopher A. Wong:
Deep learning architectures for nonlinear operator functions and nonlinear inverse problems. - He Zhang, John Harlim, Xiantao Li:
Kernel Embedding Linear Response. - Jiayang Xu, Karthik Duraisamy:
Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics. - Matteo Maspero, Mark H. F. Savenije, Tristan C. F. van Heijst, Joost J. C. Verhoeff, Alexis N. T. J. Kotte, Anette C. Houweling, Cornelis A. T. van den Berg:
CBCT-to-CT synthesis with a single neural network for head-and-neck, lung and breast cancer adaptive radiotherapy. - Xing Xu, Zahaib Akhtar, Wyatt Lloyd, Antonio Ortega, Ramesh Govindan:
Reducing Storage in Large-Scale Photo Sharing Services using Recompression. - Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications. - Dinh Thai Hoang, Diep N. Nguyen, Mohammad Abu Alsheikh, Shimin Gong, Eryk Dutkiewicz, Dusit Niyato, Zhu Han:
"Borrowing Arrows with Thatched Boats": The Art of Defeating Reactive Jammers in IoT Networks. - Jiajun Xian, Dan Yang, Liming Pan, Ming Liu, Wei Wang:
Containing rumors spreading on correlated multiplex networks. - Takayuki Hiraoka, Naoki Masuda, Aming Li, Hang-Hyun Jo:
Modeling temporal networks with bursty activity patterns of nodes and links. - Taichi Haruna, Kohei Nakajima:
Optimal short-term memory before the edge of chaos in driven random recurrent networks. - Hongyan Chang, Virat Shejwalkar, Reza Shokri, Amir Houmansadr:
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer. - Sabine Müller, Joachim Weickert, Norbert M. Graf:
Robustness of Brain Tumor Segmentation. - Oliver Knill:
Constant index expectation curvature for graphs or Riemannian manifolds. - Arunav Gupta, Lucas Nguyen, Camille Dunning, Ka Ming Chan:
Quantifying the Effects of the 2008 Recession using the Zillow Dataset. - Gilad Lerman, Yunpeng Shi:
Robust Group Synchronization via Cycle-Edge Message Passing. - Jing Gao, Nantheera Anantrasirichai, David R. Bull:
Atmospheric turbulence removal using convolutional neural network. - Muhammad Nabeel Asim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC). - Eduardo M. Vasconcelos, Adriano Souza, Kelvin Lopes Dias:
AVaN Pack: An Analytical/Numerical Solution for Variance-Based Sensitivity Analysis. - S. A. Karimi, A. M. Mijani, M. T. Talebian, Sattar Mirzakuchaki:
Comparison of the P300 detection accuracy related to the BCI speller and image recognition scenarios. - Pavel Skums, Leonid Bunimovich:
Graph fractal dimension and structure of fractal networks: a combinatorial perspective. - Lucas Mol, Narad Rampersad:
The Weak Circular Repetition Threshold Over Large Alphabets. - Antoine Dedieu:
An error bound for Lasso and Group Lasso in high dimensions. - Jyoti Maggu, Hemant Kumar Aggarwal, Angshul Majumdar:
Label Consistent Transform Learning for Hyperspectral Image Classification. - Yanxing Wang, Jianxing Hu, Junyong Lai, Yibo Li, Hongwei Jin, Li He Zhang, Liangren Zhang, Zhenming Liu:
TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep Capsular Network. - Erik P. DeBenedictis:
Quantum Computer Control using Novel, Hybrid Semiconductor-Superconductor Electronics. - Elyas Rashno, Abdolreza Rashno, Sadegh Fadaei:
Fluid segmentation in Neutrosophic domain. - Alison Marczewski, Adriano Veloso, Nivio Ziviani:
Learning Transferable Features for Speech Emotion Recognition. - Marleen Balvert, Georgios Patoulidis, Andrew Patti, Timo M. Deist, Christine Eyler, Bas E. Dutilh, Alexander Schönhuth, David Craft:
A Drug Recommendation System (Dr.S) for cancer cell lines. - David Pánek, Tamás Orosz, Pavel Karban:
Artap: Robust Design Optimization Framework for Engineering Applications. - Du Phan, Neeraj Pradhan, Martin Jankowiak:
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro. - Alia Abbara, Yoshiyuki Kabashima, Tomoyuki Obuchi, Yingying Xu:
Learning performance in inverse Ising problems with sparse teacher couplings. - Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda:
Effective Data Augmentation with Multi-Domain Learning GANs. - Anik Chakrabarty, Mikhail Chebunin, Artyom P. Kovalevskii, Ilya Pupyshev, Natalia Zakrevskaya, Qianqian Zhou:
A statistical test for correspondence of texts to the Zipf-Mandelbrot law. - Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda:
Multiple Pretext-Task for Self-Supervised Learning via Mixing Multiple Image Transformations. - Weiyao Lin, Xiaoyi He, Xintong Han, Dong Liu, John See, Junni Zou, Hongkai Xiong, Feng Wu:
Partition-Aware Adaptive Switching Neural Networks for Post-Processing in HEVC. - Ayal Green, Yupan Liu, Guy Kindler:
Towards a quantum-inspired proof for IP = PSPACE. - Mohammed Abdelghany, Ali A. Farid, Upamanyu Madhow, Mark J. W. Rodwell:
A design framework for all-digital mmWave massive MIMO with per-antenna nonlinearities. - Shinyuu Lee, Yuru Zhu:
Confounder Selection via Support Intersection. - Dennis Schol, Maria Vlasiou, Bert Zwart:
Large fork-join networks with nearly deterministic service times. - Liang Chen, Cheng Lv, Xunya Jiang:
A re-formulization of the transfer matrix method for calculating wave-functions in higher dimensional disordered open systems. - Igor G. Vladimirov, Matthew R. James, Ian R. Petersen:
Measurement-based feedback control of linear quantum stochastic systems with quadratic-exponential criteria. - Davoud Hejazi, Shuangjun Liu, Amirreza Farnoosh, Sarah Ostadabbas, Swastik Kar:
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms. - Joe Gildea, Abidin Kaya, Bahattin Yildiz:
New binary self-dual codes via a generalization of the four circulant construction. - Joe Gildea, Abidin Kaya, Alexander Tylyshchak, Bahattin Yildiz:
A group induced four-circulant construction for self-dual codes and new extremal binary self-dual codes. - Jie Fang, Zhikang Xia, Xiang Liu, Shutao Xia, Yong Jiang, Jianwu Lin:
Alpha Discovery Neural Network based on Prior Knowledge. - G. Domazakis, D. Drivaliaris, S. Koukoulas, G. I. Papayiannis, Andrianos E. Tsekrekos, Athanasios N. Yannacopoulos:
Learning with Wasserstein barycenters and applications. - Charles Dapogny:
A connection between topological ligaments in shape optimization and thin tubular inhomogeneities. - Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanovic:
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem. - Logan A. Smith, David T. Mildebrath, Illya V. Hicks:
A Polynomial Time Algorithm for Computing the Strong Rainbow Connection Numbers of Odd Cacti. - Artür Manukyan, Elvan Ceyhan:
Parameter Free Clustering with Cluster Catch Digraphs (Technical Report). - Thomas Zhang:
Sparse Optimization on General Atomic Sets: Greedy and Forward-Backward Algorithms. - Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang:
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. - Xinzi Sun, Pengfei Zhang, Dechun Wang, Yu Cao, Benyuan Liu:
Colorectal Polyp Segmentation by U-Net with Dilation Convolution. - Endre Grøvik, Darvin Yi, Michael Iv, Elizabeth Tong, Line Brennhaug Nilsen, Anna Latysheva, Cathrine Saxhaug, Kari Dolven Jacobsen, Åslaug Helland, Kyrre Eeg Emblem, Daniel L. Rubin, Greg Zaharchuk:
Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study. - Vaibhav Kumar Gupta, Gaurav S. Kasbekar:
Achieving Arbitrary Throughput-Fairness Trade-offs in the Inter Cell Interference Coordination with Fixed Transmit Power Problem. - M. Sohaib Alam:
Quantum Logic Gate Synthesis as a Markov Decision Process. - Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier:
Structural plasticity on an accelerated analog neuromorphic hardware system. - Luca Scrucca, Alessio Serafini:
Projection pursuit based on Gaussian mixtures and evolutionary algorithms. - Anupriya Gogna, Angshul Majumdar, Rabab Ward:
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. - Shikha Singh, Angshul Majumdar:
Deep Sparse Coding for Non-Intrusive Load Monitoring. - Shikha Singh, Angshul Majumdar:
Analysis Co-Sparse Coding for Energy Disaggregation. - Andrew A. Borkowski, Marilyn M. Bui, L. Brannon Thomas, Catherine P. Wilson, Lauren A. Deland, Stephen M. Mastorides:
Lung and Colon Cancer Histopathological Image Dataset (LC25000). - Cencheng Shen, Joshua T. Vogelstein:
The Chi-Square Test of Distance Correlation. - Lalit Gupta, Lev Yu. Barash, Itay Hen:
Calculating the divided differences of the exponential function by addition and removal of inputs. - Yasemin Bozkurt Varolgunes, Tristan Bereau, Joseph F. Rudzinski:
Interpretable Embeddings From Molecular Simulations Using Gaussian Mixture Variational Autoencoders. - Yanjie Zhu, Ziwen Ke, Jing Cheng, Sen Jia, Yuanyuan Liu, Haifeng Wang, Leslie Ying, Xin Liu, Hairong Zheng, Dong Liang:
An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling. - Eric Sillekens, Wenting Yi, Daniel Semrau, Alessandro Ottino, Boris Karanov, Sujie Zhou, Kevin Law, Jack Chen, Domaniç Lavery, Lídia Galdino, Polina Bayvel, Robert I. Killey:
Experimental Demonstration of Learned Time-Domain Digital Back-Propagation. - Matteo Zambra, Alberto Testolin, Amos Maritan:
Emergence of Network Motifs in Deep Neural Networks. - Juan Manuel Górriz, et al.:
Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities. - Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Deep Learning in Medical Image Registration: A Review. - Andreas Windisch, Thomas Gallien, Christopher Schwarzlmüller:
Deep reinforcement learning for complex evaluation of one-loop diagrams in quantum field theory. - Ali Pour Yazdanpanah, Onur Afacan, Simon K. Warfield:
ODE-based Deep Network for MRI Reconstruction. - Mohammad I. Albakri, Vijaya V. N. Sriram Malladi, Serkan Gugercin, Pablo A. Tarazaga:
Estimating Dispersion Curves from Frequency Response Functions via Vector-Fitting. - Josh Payne, Mario Srouji:
Approximate Graph Spectral Decomposition with the Variational Quantum Eigensolver. - Y. Ye, Richard D. Boyce, M. K. Davis, Keith O. Elliston, Christos Davatzikos, Andrey Fedorov, Jean-Christophe Fillion-Robin, Ian T. Foster, John R. Gilbertson, Mervi Heiskanen, Juli D. Klemm, Andras Lasso, James V. Miller, M. Morgan, Steve Pieper, Brigitte Raumann, B. Sarachan, G. Savova, Jonathan C. Silverstein, D. Taylor, J. Zelnis, G. Q. Zhang, Michael J. Becich:
Open Source Software Sustainability Models: Initial White Paper from the Information Technology for Cancer Research Sustainability and Industry Partnership Work Group. - Victor Dods, Corey Shanbrom:
Self-similarity in the Kepler-Heisenberg problem. - Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel:
Deep neural network models for computational histopathology: A survey. - Abhinav Garg, Dhananjaya Gowda, Ankur Kumar, Kwangyoun Kim, Mehul Kumar, Chanwoo Kim:
Improved Multi-Stage Training of Online Attention-based Encoder-Decoder Models. - Na-Young Ahn, Dong Hoon Lee:
Vehicle Communication using Hash Chain-based Secure Cluster. - Arjun Gupta, Dashiell Kosaka, Edwin Pan, Jingning Tang, Ruihao Yao, Sanjay Patel:
OpenRadar: A Toolkit for Prototyping mmWave Radar Applications. - Facundo Mémoli, Ling Zhou:
Persistent Homotopy Groups of Metric Spaces. - Masakiyo Kitazawa, Takuya Matsumoto, Yasuhiro Kohno:
Classifying topological sector via machine learning. - Jean Feng, Scott Emerson, Noah Simon:
Approval policies for modifications to Machine Learning-Based Software as a Medical Device: A study of bio-creep. - Yukuan Yang, Lei Deng, Peng Jiao, Yansong Chua, Jing Pei, Cheng Ma, Guoqi Li:
Transfer Learning in General Lensless Imaging through Scattering Media. - Sebastian Nugroho, Ahmad F. Taha:
Sensor Placement Strategies for Some Classes of Nonlinear Dynamic Systems via Lyapunov Theory. - Jonas Wacker, Marcelo Ladeira, José Eduardo Vaz Nascimento:
Transfer Learning for Brain Tumor Segmentation. - Yue Cao, Yang Shen:
Energy-based Graph Convolutional Networks for Scoring Protein Docking Models. - Sarwan Ali, Haris Mansoor, Imdadullah Khan, Naveed Arshad, Muhammad Asad Khan, Safiullah Faizullah:
Hour-Ahead Load Forecasting Using AMI Data. - Simon J. Godsill, Marina Riabiz, Ioannis Kontoyiannis:
The Lévy State Space Model. - Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, Chuang Sun, Shibin Wang, Ruqiang Yan, Xuefeng Chen:
Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study. - Mostafa Karimi, Di Wu, Zhangyang Wang, Yang Shen:
Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts. - Avishay Tal:
Towards Optimal Separations between Quantum and Randomized Query Complexities. - Xiangyu Gao, Guanbin Xing, Sumit Roy, Hui Liu:
Experiments with mmWave Automotive Radar Test-bed. - Karmvir Singh Phogat, Dong Eui Chang:
Invariant extended Kalman filter on matrix Lie groups. - Younatan Matthew, Shohini Ghose:
Quantum Image Preparation Based on Exclusive Sum-of-Product Minimization and Ternary Trees. - (Withdrawn) Approximating intractable short ratemodel distribution with neural network.
- Felix Gaisbauer, Eckehard Olbrich, Sven Banisch:
The dynamics of opinion expression. - Phillipe R. Sampaio:
DEFT-FUNNEL: an open-source global optimization solver for constrained grey-box and black-box problems. - Chen Zhao, Xiao-Shan Gao:
QDNN: DNN with Quantum Neural Network Layers. - Nancy Ronquillo, Sung-En Chiu, Tara Javidi:
Sequential Learning of CSI for MmWave Initial Alignment. - Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan:
Optimal Uncertainty-guided Neural Network Training. - Jooyoung Lee, Seunghyun Cho, Munchurl Kim:
A Hybrid Architecture of Jointly Learning Image Compression and Quality Enhancement with Improved Entropy Minimization. - Ambros M. Gleixner, Daniel E. Steffy:
Linear Programming using Limited-Precision Oracles. - Hailiang Xie, Jie Xu, Ya-Feng Liu:
Max-Min Fairness in IRS-Aided Multi-Cell MISO Systems via Joint Transmit and Reflective Beamforming. - Asma Khatun, Sk. Golam Sarowar Hossain:
Early Detection of Diabetic Retinopathy and Severity Scale Measurement: A Progressive Review & Scopes. - Tong Zheng, Hirohisa Oda, Takayasu Moriya, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori:
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database. - Yaojun Wu, Tianyu He, Zhibo Chen:
Memorize, Then Recall: A Generative Framework for Low Bit-rate Surveillance Video Compression. - Xi Chen, Victor Chernozhukov, Ye Luo, Martin Spindler:
Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data. - Alice Lucas, Santiago Lopez Tapia, Rafael Molina, Aggelos K. Katsaggelos:
Self-Supervised Fine-tuning for Image Enhancement of Super-Resolution Deep Neural Networks. - Enxian Chen, Lei Qiao, Xiang Sun, Yeneng Sun:
Equilibrium refinements in games with many players. - Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl:
Model-Agnostic Approaches to Multi-Objective Simultaneous Hyperparameter Tuning and Feature Selection. - Amitesh Sarkar, Anirban Banerjee:
Joins of Hypergraphs and Their Spectra. - Shi-Ju Ran:
Bayesian Tensor Network and Optimization Algorithm for Probabilistic Machine Learning. - Moshir Harsh, Jérôme Tubiana, Simona Cocco, Rémi Monasson:
'Place-cell' emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space. - Nathan Kallus, Xiaojie Mao, Masatoshi Uehara:
Localized Debiased Machine Learning: Efficient Estimation of Quantile Treatment Effects, Conditional Value at Risk, and Beyond. - Corinne Jones, Vincent Roulet, Zaïd Harchaoui:
End-to-end Learning, with or without Labels. - Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos F. Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier:
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate. - Galen Reeves, Jiaming Xu, Ilias Zadik:
All-or-Nothing Phenomena: From Single-Letter to High Dimensions. - Luis F. Abanto-Leon:
Decentralized Subchannel Scheduling for C-V2X Mode-4: A Non-Standard Configuration for CAM Retransmissions. - Jack Umenberger, Thomas B. Schön:
Optimistic robust linear quadratic dual control. - Carter T. Butts:
A Dynamic Process Reference Model for Sparse Networks with Reciprocity. - Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou:
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation. - Nicholas M. Boffi, Jean-Jacques E. Slotine:
Higher-order algorithms for nonlinearly parameterized adaptive control. - Stefano Savazzi, Monica Nicoli, Vittorio Rampa:
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks. - Xueyuan Zhao, Dario Pompili:
Transform-Domain Classification of Human Cells based on DNA Methylation Datasets. - Chunwei Tian, Lunke Fei, Wenxian Zheng, Yong Xu, Wangmeng Zuo, Chia-Wen Lin:
Deep Learning on Image Denoising: An overview. - He Zhang, Liang Zhang, David H. Mathews, Liang Huang:
LinearPartition: Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities. - Joackim Bernier:
Exact splitting methods for semigroups generated by inhomogeneous quadratic differential operators. - Alper Atamtürk, Vishnu Narayanan:
Submodular Function Minimization and Polarity. - Nicholas S. Kulberg, A. B. Elizarov, V. P. Novik, V. A. Gombolevsky, A. P. Gonchar, A. L. Alliua, V. Yu. Bosin, A. V. Vladzymyrskyy, Sergey P. Morozov:
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database. - Maximilian Schambach, Fernando Puente León:
Microlens array grid estimation, light field decoding, and calibration. - Xiaopeng Luo, Xin Xu:
Stochastic gradient-free descents. - N. R. Aravind, Stijn Cambie, Wouter Cames van Batenburg, Rémi de Joannis de Verclos, Ross J. Kang, Viresh Patel:
Structure and colour in triangle-free graphs. - Muhammad Usman, Byoung-Dai Lee, Shi Sub Byon, Sung Hyun Kim, Byung IlLee:
Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual Learning. - Alexey Drutsa:
Finite-State Extreme Effect Variable. - Laurent François, Joël Dupays, Dmitry Davidenko, Marc Massot:
Travelling wave mathematical analysis and efficient numerical resolution for a one-dimensional model of solid propellant combustion. - Yasaman Mahdaviyeh, Zacharie Naulet:
Asymptotic Risk of Least Squares Minimum Norm Estimator under the Spike Covariance Model. - Ugur Akpinar, Erdem Sahin, Atanas P. Gotchev:
Learning Wavefront Coding for Extended Depth of Field Imaging. - Gabriele Liga, Bin Chen, Sjoerd van der Heide, Alireza Sheikh, Menno van den Hout, Chigo Okonkwo, Alex Alvarado:
30% Reach Increase via Low-complexity Hybrid HD/SD FEC and Nonlinearity-tolerant 4D Modulation. - Yangyang Cao, Mohammad A. Ghazizadeh, Philippe G. LeFloch:
Asymptotic structure of cosmological fluid flows in one and two space dimensions: a numerical study. - Vidhi Lalchand, Carl Edward Rasmussen:
Approximate Inference for Fully Bayesian Gaussian Process Regression. - Venkata Krishna Pillutla, Sham M. Kakade, Zaïd Harchaoui:
Robust Aggregation for Federated Learning. - Kaizheng Wang:
Some compact notations for concentration inequalities and user-friendly results. - Oran Gannot:
A frequency-domain analysis of inexact gradient descent. - Huizhuo Yuan, Xiangru Lian, Ji Liu:
Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization. - Wankai Tang, Jun Yan Dai, Ming Zheng Chen, Kai-Kit Wong, Xiao Li, Xinsheng Zhao, Shi Jin, Qiang Cheng, Tie Jun Cui:
MIMO Transmission through Reconfigurable Intelligent Surface: System Design, Analysis, and Implementation. - Jing Li, Panos Stinis:
Model reduction for a power grid model. - Ge Zhang, Aiguo Xu, Yingjun Li, Huilin Lai, Xiaomian Hu:
Particle tracking manifestation of compressible flow and mixing induced by Rayleigh-Taylor instability. - Chen Hu, Linglong Dai:
Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications. - Sushovan Majhi, Jeffrey Vitter, Carola Wenk:
Approximating Gromov-Hausdorff Distance in Euclidean Space. - Jeremie S. Kim, Can Firtina, Meryem Banu Cavlak, Damla Senol Cali, Mohammed Alser, Nastaran Hajinazar, Can Alkan, Onur Mutlu:
AirLift: A Fast and Comprehensive Technique for Remapping Alignments between Reference Genomes. - Yining Wang, Mingzhe Chen, Zhaohui Yang, Tao Luo, Walid Saad:
Deep Learning for Optimal Deployment of UAVs with Visible Light Communications. - Manuel Bodirsky, Thomas Quinn-Gregson:
Solving Equation Systems in $ω$-categorical Algebras. - Austin Gilliam, Stefan Woerner, Constantin Gonciulea:
Grover Adaptive Search for Constrained Polynomial Binary Optimization. - Giulia Bertaglia, Matteo Ioriatti, Alessandro Valiani, Michael Dumbser, Valerio Caleffi:
Numerical methods for hydraulic transients in visco-elastic pipes. - Giulia Bertaglia, Valerio Caleffi, Alessandro Valiani:
Modeling blood flow in viscoelastic vessels: the 1D augmented fluid-structure interaction system. - Giulia Bertaglia, Adrián Navas-Montilla, Alessandro Valiani, Manuel Ignacio Monge García, Javier Murillo, Valerio Caleffi:
Computational hemodynamics in arteries with the one-dimensional augmented fluid-structure interaction system: viscoelastic parameters estimation and comparison with in-vivo data. - In-Soo Kim, Junil Choi:
Channel Estimation via Gradient Pursuit for MmWave Massive MIMO Systems with One-Bit ADCs. - Marco Bellagente, Anja Butter, Gregor Kasieczka, Tilman Plehn, Ramon Winterhalder:
How to GAN away Detector Effects. - Artemy Kolchinsky, David H. Wolpert:
Thermodynamic costs of Turing Machines. - Hong Ren, Cunhua Pan, Yansha Deng, Maged Elkashlan, Arumugam Nallanathan:
Joint Pilot and Payload Power Allocation for Massive-MIMO-enabled URLLC IIoT Networks. - Enxian Chen, Wei He, Yeneng Sun, Hanping Xu:
Does randomization matter in dynamic games? - Geoffrey Stewart Morrison, Ewald Enzinger, Daniel Ramos, Joaquín González-Rodríguez, Alicia Lozano-Diez:
Statistical Models in Forensic Voice Comparison.
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