default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSubhajit Chaudhury
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c32]Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar:
A Grounded Preference Model for LLM Alignment. ACL (Findings) 2024: 151-162- [c31]Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras:
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. ACL (1) 2024: 12859-12870 - [c30]Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger:
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. EACL (1) 2024: 394-405 - [c29]Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen:
Variance Reduction Can Improve Trade-Off in Multi-Objective Learning. ICASSP 2024: 6975-6979 - [c28]Subhajit Chaudhury, Toshihiko Yamasaki:
Adversarial Robustness of Convolutional Models Learned in the Frequency Domain. ICASSP 2024: 7455-7459 - [c27]Subhajit Chaudhury, Keerthiram Murugesan, Thomas Carta, Kartik Talamadupula, Michiaki Tatsubori:
Leveraging Visual Handicaps for Text-Based Reinforcement Learning. ICASSP 2024: 12376-12380 - [c26]Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen:
Larimar: Large Language Models with Episodic Memory Control. ICML 2024 - [i35]Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras:
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. CoRR abs/2402.15491 (2024) - [i34]Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger
, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici:
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR abs/2403.06009 (2024) - [i33]Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger:
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. CoRR abs/2403.10692 (2024) - [i32]Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarath Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen:
Larimar: Large Language Models with Episodic Memory Control. CoRR abs/2403.11901 (2024) - [i31]Maurício Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury:
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning. CoRR abs/2404.10174 (2024) - [i30]Elliot Nelson, Georgios Kollias, Payel Das, Subhajit Chaudhury, Soham Dan:
Needle in the Haystack for Memory Based Large Language Models. CoRR abs/2407.01437 (2024) - [i29]Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas:
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes. CoRR abs/2407.01619 (2024) - [i28]Georgios Kollias, Payel Das, Subhajit Chaudhury:
Generation Constraint Scaling Can Mitigate Hallucination. CoRR abs/2407.16908 (2024) - [i27]Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel:
Large Language Models can be Strong Self-Detoxifiers. CoRR abs/2410.03818 (2024) - 2023
- [c25]Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray:
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. ACL (Findings) 2023: 4485-4503 - [c24]Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray:
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. ACL (1) 2023: 6764-6776 - [c23]Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger:
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. ACL (1) 2023: 8434-8448 - [c22]Shajith Ikbal, Udit Sharma, Hima Karanam, Sumit Neelam, Ronny Luss, Dheeraj Sreedhar, Pavan Kapanipathi, Naweed Khan, Kyle Erwin, Ndivhuwo Makondo, Ibrahim Abdelaziz, Achille Fokoue, Alexander Gray, Maxwell Crouse, Subhajit Chaudhury, Chitra Subramanian:
Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. EMNLP (Findings) 2023: 1707-1718 - [c21]Heshan Devaka Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen:
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach. ICLR 2023 - [c20]Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury:
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. NeurIPS 2023 - [i26]Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger:
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. CoRR abs/2305.04346 (2023) - [i25]Maxwell Crouse, Ramón Fernandez Astudillo, Tahira Naseem, Subhajit Chaudhury, Pavan Kapanipathi, Salim Roukos, Alexander Gray:
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency. CoRR abs/2305.20018 (2023) - [i24]Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray:
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. CoRR abs/2306.10452 (2023) - [i23]Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray:
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. CoRR abs/2307.02689 (2023) - [i22]Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz:
LakeBench: Benchmarks for Data Discovery over Data Lakes. CoRR abs/2307.04217 (2023) - [i21]Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury:
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. CoRR abs/2310.16173 (2023) - 2022
- [c19]Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula:
Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents. AAAI 2022: 11094-11102 - [c18]Subhajit Chaudhury, Sarathkrishna Swaminathan, R. Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramón Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, Alexander Gray:
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization. EMNLP 2022: 7100-7110 - [i20]Heshan Devaka Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen:
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach. CoRR abs/2210.12624 (2022) - 2021
- [j5]Subhajit Chaudhury, Toshihiko Yamasaki:
Robustness of Adaptive Neural Network Optimization Under Training Noise. IEEE Access 9: 37039-37053 (2021) - [j4]Subhajit Chaudhury, Hiya Roy, Sourav Mishra, Toshihiko Yamasaki:
Adversarial Training Time Attack Against Discriminative and Generative Convolutional Models. IEEE Access 9: 109241-109259 (2021) - [j3]Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki:
Robustness of Deep Learning Models in Dermatological Evaluation: A Critical Assessment. IEICE Trans. Inf. Syst. 104-D(3): 419-429 (2021) - [j2]Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto:
Image inpainting using frequency-domain priors. J. Electronic Imaging 30(2): 023016 (2021) - [j1]Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto:
Toward Better Planetary Surface Exploration by Orbital Imagery Inpainting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 175-189 (2021) - [c17]Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray:
LOA: Logical Optimal Actions for Text-based Interaction Games. ACL (demo) 2021: 227-231 - [c16]Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar:
Language-based General Action Template for Reinforcement Learning Agents. ACL/IJCNLP (Findings) 2021: 2125-2139 - [c15]Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar:
Neuro-Symbolic Approaches for Text-Based Policy Learning. EMNLP (1) 2021: 3073-3078 - [c14]Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray:
Neuro-Symbolic Reinforcement Learning with First-Order Logic. EMNLP (1) 2021: 3505-3511 - [i19]Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander Gray:
Reinforcement Learning with External Knowledge by using Logical Neural Networks. CoRR abs/2103.02363 (2021) - [i18]Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula:
Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents. CoRR abs/2106.05387 (2021) - [i17]Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray:
Neuro-Symbolic Reinforcement Learning with First-Order Logic. CoRR abs/2110.10963 (2021) - [i16]Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray:
LOA: Logical Optimal Actions for Text-based Interaction Games. CoRR abs/2110.10973 (2021) - 2020
- [c13]Subhajit Chaudhury:
Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities. AAAI 2020: 13714-13715 - [c12]Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana:
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games. EMNLP (1) 2020: 3002-3008 - [c11]Subhajit Chaudhury, Toshihiko Yamasaki:
Investigating Generalization in Neural Networks Under Optimally Evolved Training Perturbations. ICASSP 2020: 3617-3612 - [c10]Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, Ryuki Tachibana:
Adversarial Discriminative Attention for Robust Anomaly Detection. WACV 2020: 2161-2170 - [i15]Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki:
Assessing Robustness of Deep learning Methods in Dermatological Workflow. CoRR abs/2001.05878 (2020) - [i14]Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro, Hiroki Ozaki:
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos. CoRR abs/2002.08097 (2020) - [i13]Subhajit Chaudhury, Toshihiko Yamasaki:
Investigating Generalization in Neural Networks under Optimally Evolved Training Perturbations. CoRR abs/2003.06646 (2020) - [i12]Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana:
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games. CoRR abs/2009.11896 (2020) - [i11]Thomas Carta, Subhajit Chaudhury, Kartik Talamadupula, Michiaki Tatsubori:
VisualHints: A Visual-Lingual Environment for Multimodal Reinforcement Learning. CoRR abs/2010.13839 (2020) - [i10]Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto:
Image inpainting using frequency domain priors. CoRR abs/2012.01832 (2020)
2010 – 2019
- 2019
- [c9]Subhajit Chaudhury, Hiroki Ozaki, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro:
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos. ISM 2019: 9-16 - [c8]Subhajit Chaudhury, Daiki Kimura, Asim Munawar, Ryuki Tachibana:
Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning. MMSP 2019: 1-6 - [i9]Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Danielle DeLatte, Makiko Ohtake, Tatsuaki Hashimoto:
Lunar surface image restoration using U-net based deep neural networks. CoRR abs/1904.06683 (2019) - 2018
- [c7]Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta:
Transfer Learning from Synthetic to Real Images Using Variational Autoencoders for Precise Position Detection. ICIP 2018: 2725-2729 - [c6]Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana:
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. ICPR 2018: 2624-2629 - [i8]Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, Sakyasingha Dasgupta:
Internal Model from Observations for Reward Shaping. CoRR abs/1806.01267 (2018) - [i7]Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana:
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. CoRR abs/1806.08523 (2018) - [i6]Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta:
Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection. CoRR abs/1807.01990 (2018) - [i5]Tu-Hoa Pham, Giovanni De Magistris, Don Joven Agravante, Subhajit Chaudhury, Asim Munawar, Ryuki Tachibana:
Constrained Exploration and Recovery from Experience Shaping. CoRR abs/1809.08925 (2018) - [i4]Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana:
Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation. CoRR abs/1810.01108 (2018) - 2017
- [c5]Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana:
Text to image generative model using constrained embedding space mapping. MLSP 2017: 1-6 - [c4]Subhajit Chaudhury, Hiya Roy:
Can fully convolutional networks perform well for general image restoration problems? MVA 2017: 254-257 - [c3]Subhajit Chaudhury, Gaku Nakano, Jun Takada, Akihiko Iketani:
Spatial-Temporal Motion Field Analysis for Pixelwise Crack Detection on Concrete Surfaces. WACV 2017: 336-344 - [i3]Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana:
Conditional generation of multi-modal data using constrained embedding space mapping. CoRR abs/1707.00860 (2017) - [i2]Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta:
Transfer learning from synthetic to real images using variational autoencoders for robotic applications. CoRR abs/1709.06762 (2017) - 2016
- [i1]Subhajit Chaudhury, Hiya Roy:
Can fully convolutional networks perform well for general image restoration problems? CoRR abs/1611.04481 (2016) - 2014
- [c2]Subhajit Chaudhury, Subhasis Chaudhuri:
Volume preserving haptic pottery. HAPTICS 2014: 129-134 - [c1]Sourav Saha, Pritha Ganguly, Subhajit Chaudhury:
Vision Based Human Pose Estimation for Virtual Cloth Fitting. ICVGIP 2014: 60:1-60:6
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-18 21:48 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
