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2020 – today
- 2024
[j6]Sumit Chopra, Gagandeep Singh Bains, Simranjot Kaur, Rajesh Sharma, Anchal Nayyar:
A review of the various applications and security issues in IoT and its future aspects. Int. J. Secur. Networks 19(3): 109-127 (2024)- [j5]Simranjot Kaur
, Sumit Chopra, Anchal Nayyar, Rajesh Sharma, Gagandeep Singh:
A sequential convolutional neural network for image forgery detection. Multim. Tools Appl. 83(14): 41311-41325 (2024) - [c34]Chen-Yu Yen, Raghav Singhal, Umang Sharma, Rajesh Ranganath, Sumit Chopra, Lerrel Pinto:
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction. ICML 2024 - [c33]Yuxuan Chen, Haoyan Yang, Hengkai Pan, Fardeen Siddiqui, Antonio Verdone, Qingyang Zhang, Sumit Chopra, Chen Zhao, Yiqiu Shen:
BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports. MCHM@MM 2024: 53-58 - [i18]Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho:
A Framework for Multi-modal Learning: Jointly Modeling Inter- & Intra-Modality Dependencies. CoRR abs/2405.17613 (2024) - [i17]Chen-Yu Yen, Raghav Singhal, Umang Sharma, Rajesh Ranganath, Sumit Chopra, Lerrel Pinto:
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction. CoRR abs/2406.04318 (2024) - [i16]Umang Sharma, Jungkyu Park, Laura Heacock, Sumit Chopra, Krzysztof J. Geras:
A training regime to learn unified representations from complementary breast imaging modalities. CoRR abs/2408.08560 (2024) - [i15]Yuxuan Chen, Haoyan Yang, Hengkai Pan, Fardeen Siddiqui, Antonio Verdone, Qingyang Zhang, Sumit Chopra, Chen Zhao, Yiqiu Shen:
BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports. CoRR abs/2408.11334 (2024) - [i14]Luoyao Chen, Revant Teotia, Antonio Verdone, Aidan Cardall, Lakshay Tyagi, Yiqiu Shen, Sumit Chopra:
Fine-Tuning In-House Large Language Models to Infer Differential Diagnosis from Radiology Reports. CoRR abs/2410.09234 (2024) - [i13]Haoxu Huang, Cem M. Deniz, Kyunghyun Cho, Sumit Chopra, Divyam Madaan:
HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis. CoRR abs/2411.10684 (2024) - 2023
- [c32]Haoxu Huang, Samyak Rawlekar, Sumit Chopra, Cem M. Deniz:
Radiology Reports Improve Visual Representations Learned from Radiographs. MIDL 2023: 1385-1405 - [c31]Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra:
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. MIDL 2023: 1726-1750 - [c30]Ankur Sharma, Sumit Chopra, Vijay Kumar Banga, Thaweesak Yingthawornsuk:
Comparing Machine Learning Feature Selection Methods for Dementia Anatomical Brain MRI. SITIS 2023: 205-212 - [i12]Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra:
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease. CoRR abs/2301.11962 (2023) - [i11]Radhika Tibrewala, Tarun Dutt, Angela Tong, Luke Ginocchio, Mahesh Bharath Keerthivasan, Steven H. Baete, Sumit Chopra, Yvonne W. Lui, Daniel K. Sodickson, Hersh Chandarana, Patricia M. Johnson:
FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging. CoRR abs/2304.09254 (2023) - [i10]Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra:
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. CoRR abs/2306.13276 (2023) - 2020
- [j4]Rebecca M. Jones, Anuj Sharma, Robert Hotchkiss, John W. Sperling, Jackson Hamburger, Christian Ledig, Robert O'Toole, Michael Gardner, Srivas Venkatesh, Matthew M. Roberts, Romain Sauvestre, Max Shatkhin, Anant Gupta, Sumit Chopra, Manickam Kumaravel, Aaron Daluiski, Will Plogger, Jason Nascone, Hollis Potter, Robert V. Lindsey:
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2019
- [c29]Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig:
Generative Image Translation for Data Augmentation of Bone Lesion Pathology. MIDL 2019: 225-235 - [i9]Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig:
Generative Image Translation for Data Augmentation of Bone Lesion Pathology. CoRR abs/1902.02248 (2019) - 2018
- [j3]Robert V. Lindsey, Aaron Daluiski, Sumit Chopra, Alexander Lachapelle, Michael Mozer, Serge Sicular, Douglas Hanel, Michael Gardner, Anurag Gupta, Robert Hotchkiss, Hollis Potter:
Deep neural network improves fracture detection by clinicians. Proc. Natl. Acad. Sci. USA 115(45): 11591-11596 (2018) - [c28]Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston:
StarSpace: Embed All The Things! AAAI 2018: 5569-5577 - 2017
- [c27]Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston:
Dialogue Learning With Human-in-the-Loop. ICLR (Poster) 2017 - [c26]Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston:
Learning through Dialogue Interactions by Asking Questions. ICLR (Poster) 2017 - [i8]Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache:
Training Language Models Using Target-Propagation. CoRR abs/1702.04770 (2017) - [i7]Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston:
StarSpace: Embed All The Things! CoRR abs/1709.03856 (2017) - 2016
- [c25]Sumit Chopra, Michael Auli, Alexander M. Rush:
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks. HLT-NAACL 2016: 93-98 - [c24]Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston:
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems. ICLR (Poster) 2016 - [c23]Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston:
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. ICLR 2016 - [c22]Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba:
Sequence Level Training with Recurrent Neural Networks. ICLR (Poster) 2016 - [c21]Jason Weston, Antoine Bordes, Sumit Chopra, Tomás Mikolov:
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks. ICLR (Poster) 2016 - [i6]Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston:
Dialogue Learning With Human-In-The-Loop. CoRR abs/1611.09823 (2016) - [i5]Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston:
Learning Through Dialogue Interactions. CoRR abs/1612.04936 (2016) - 2015
- [c20]Alexander M. Rush, Sumit Chopra, Jason Weston:
A Neural Attention Model for Abstractive Sentence Summarization. EMNLP 2015: 379-389 - [c19]Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato:
Learning Longer Memory in Recurrent Neural Networks. ICLR (Workshop) 2015 - [c18]Jason Weston, Sumit Chopra, Antoine Bordes:
Memory Networks. ICLR 2015 - [i4]Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston:
Large-scale Simple Question Answering with Memory Networks. CoRR abs/1506.02075 (2015) - [i3]Alexander M. Rush, Sumit Chopra, Jason Weston:
A Neural Attention Model for Abstractive Sentence Summarization. CoRR abs/1509.00685 (2015) - 2014
- [c17]Antoine Bordes, Sumit Chopra, Jason Weston:
Question Answering with Subgraph Embeddings. EMNLP 2014: 615-620 - [c16]Jason Weston, Sumit Chopra, Keith Adams:
#TagSpace: Semantic Embeddings from Hashtags. EMNLP 2014: 1822-1827 - [i2]Antoine Bordes, Sumit Chopra, Jason Weston:
Question Answering with Subgraph Embeddings. CoRR abs/1406.3676 (2014) - [i1]Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra:
Video (language) modeling: a baseline for generative models of natural videos. CoRR abs/1412.6604 (2014) - 2012
- [j2]Suhrid Balakrishnan, Sumit Chopra:
Two of a kind or the ratings game? Adaptive pairwise preferences and latent factor models. Frontiers Comput. Sci. 6(2): 197-208 (2012) - [c15]Sumit Chopra, Srinivas Bangalore:
Weakly supervised neural networks for Part-Of-Speech tagging. ICASSP 2012: 1965-1968 - [c14]Suhrid Balakrishnan, Sumit Chopra, David L. Applegate, Simon Urbanek:
Computational Television Advertising. ICDM 2012: 71-80 - [c13]Suhrid Balakrishnan, Sumit Chopra:
Collaborative ranking. WSDM 2012: 143-152 - 2011
- [c12]Sumit Chopra, Srinivas Bangalore:
Non-linear tagging models with localist and distributed word representations. ICASSP 2011: 2144-2147 - [c11]Sumit Chopra, Patrick Haffner, Dimitrios Dimitriadis:
Combining Frame and Segment Level Processing via Temporal Pooling for Phonetic Classification. INTERSPEECH 2011: 233236 - 2010
- [c10]Suhrid Balakrishnan, Sumit Chopra:
Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and Latent Factor Models. ICDM 2010: 725-730 - [c9]Piotr Mirowski, Sumit Chopra, Suhrid Balakrishnan, Srinivas Bangalore:
Feature-rich continuous language models for speech recognition. SLT 2010: 241-246
2000 – 2009
- 2009
- [b1]Sumit Chopra:
Factor Graphs for Relational Regression. New York University, USA, 2009 - 2007
- [j1]Neelima Gupta, Sumit Chopra:
Output-sensitive algorithms for optimally constructing the upper envelope of straight line segments in parallel. J. Parallel Distributed Comput. 67(7): 772-782 (2007) - [c8]Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu Jie Huang:
Energy-Based Models in Document Recognition and Computer Vision. ICDAR 2007: 337-341 - [c7]Sumit Chopra, Trivikraman Thampy, John Leahy, Andrew Caplin, Yann LeCun:
Discovering the hidden structure of house prices with a non-parametric latent manifold model. KDD 2007: 173-182 - [c6]Marc'Aurelio Ranzato, Y-Lan Boureau, Sumit Chopra, Yann LeCun:
A Unified Energy-Based Framework for Unsupervised Learning. AISTATS 2007: 371-379 - 2006
- [c5]Raia Hadsell, Sumit Chopra, Yann LeCun:
Dimensionality Reduction by Learning an Invariant Mapping. CVPR (2) 2006: 1735-1742 - [c4]Marc'Aurelio Ranzato, Christopher S. Poultney, Sumit Chopra, Yann LeCun:
Efficient Learning of Sparse Representations with an Energy-Based Model. NIPS 2006: 1137-1144 - 2005
- [c3]Sumit Chopra, Raia Hadsell, Yann LeCun:
Learning a Similarity Metric Discriminatively, with Application to Face Verification. CVPR (1) 2005: 539-546 - 2003
- [c2]Amit Agarwal, Tarun Agarwal, Sumit Chopra, Anja Feldmann, Nils Kammenhuber, Piotr Krysta, Berthold Vöcking:
An Experimental Study of k-Splittable Scheduling for DNS-Based Traffic Allocation. Euro-Par 2003: 230-235 - 2001
- [c1]Neelima Gupta, Sumit Chopra, Sandeep Sen:
Optimal, Output-Sensitive Algorithms for Constructing Upper Envelope of Line Segments in Parallel. FSTTCS 2001: 183-194
Coauthor Index
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