Subhajit Chaudhury

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 68

Top Topics

Image Inpainting

Reinforcement Learning

Top Venues

Publications

Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. EACL (1) (2024)
Subhajit Chaudhury, Toshihiko Yamasaki
Adversarial Robustness of Convolutional Models Learned in the Frequency Domain. ICASSP (2024)
Subhajit Chaudhury, Keerthiram Murugesan, Thomas Carta, Kartik Talamadupula, Michiaki Tatsubori
Leveraging Visual Handicaps for Text-Based Reinforcement Learning. ICASSP (2024)
Georgios Kollias, Payel Das, Subhajit Chaudhury
Generation Constraint Scaling Can Mitigate Hallucination. CoRR (2024)
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 (2024)
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 (2024)
Maurício Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning. CoRR (2024)
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 (2024)
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 (2024)
Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. CoRR (2024)
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)
Elliot Nelson, Georgios Kollias, Payel Das, Subhajit Chaudhury, Soham Dan
Needle in the Haystack for Memory Based Large Language Models. CoRR (2024)
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)
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)
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)
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 (2023)
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)
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 (2023)
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 (2023)
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)
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 (2023)
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 (2023)
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)
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)
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 (2023)
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)
Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula
Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents. AAAI (2022)
Heshan Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach. CoRR (2022)
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)
Subhajit Chaudhury, Toshihiko Yamasaki
Robustness of Adaptive Neural Network Optimization Under Training Noise. IEEE Access 9 (2021)
Subhajit Chaudhury, Hiya Roy, Sourav Mishra, Toshihiko Yamasaki
Adversarial Training Time Attack Against Discriminative and Generative Convolutional Models. IEEE Access 9 (2021)
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 (2021)
Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto
Image inpainting using frequency-domain priors. J. Electronic Imaging 30 (2) (2021)
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)
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)
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 (2021)
Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula
Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents. CoRR (2021)
Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki
Robustness of Deep Learning Models in Dermatological Evaluation: A Critical Assessment. IEICE Trans. Inf. Syst. (3) (2021)
Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar
Neuro-Symbolic Approaches for Text-Based Policy Learning. EMNLP (1) (2021)
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)
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 (2021)
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 (2021)
Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki
Assessing Robustness of Deep learning Methods in Dermatological Workflow. CoRR (2020)
Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, Ryuki Tachibana
Adversarial Discriminative Attention for Robust Anomaly Detection. WACV (2020)
Thomas Carta, Subhajit Chaudhury, Kartik Talamadupula, Michiaki Tatsubori
VisualHints: A Visual-Lingual Environment for Multimodal Reinforcement Learning. CoRR (2020)
Subhajit Chaudhury
Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities. AAAI (2020)
Subhajit Chaudhury, Toshihiko Yamasaki
Investigating Generalization in Neural Networks Under Optimally Evolved Training Perturbations. ICASSP (2020)
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 (2020)
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 (2020)
Subhajit Chaudhury, Toshihiko Yamasaki
Investigating Generalization in Neural Networks under Optimally Evolved Training Perturbations. CoRR (2020)
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)
Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto
Image inpainting using frequency domain priors. CoRR (2020)
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)
Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Danielle DeLatte, Makiko Ohtake, Tatsuaki Hashimoto
Lunar surface image restoration using U-net based deep neural networks. CoRR (2019)
Subhajit Chaudhury, Daiki Kimura, Asim Munawar, Ryuki Tachibana
Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning. MMSP (2019)
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 (2018)
Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta
Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection. CoRR (2018)
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)
Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, Sakyasingha Dasgupta
Internal Model from Observations for Reward Shaping. CoRR (2018)
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)
Tu-Hoa Pham, Giovanni De Magistris, Don Joven Agravante, Subhajit Chaudhury, Asim Munawar, Ryuki Tachibana
Constrained Exploration and Recovery from Experience Shaping. CoRR (2018)
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 (2018)
Subhajit Chaudhury, Gaku Nakano, Jun Takada, Akihiko Iketani
Spatial-Temporal Motion Field Analysis for Pixelwise Crack Detection on Concrete Surfaces. WACV (2017)
Subhajit Chaudhury, Hiya Roy
Can fully convolutional networks perform well for general image restoration problems? MVA (2017)
Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana
Text to image generative model using constrained embedding space mapping. MLSP (2017)
Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana
Conditional generation of multi-modal data using constrained embedding space mapping. CoRR (2017)
Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta
Transfer learning from synthetic to real images using variational autoencoders for robotic applications. CoRR (2017)
Subhajit Chaudhury, Hiya Roy
Can fully convolutional networks perform well for general image restoration problems? CoRR (2016)
Sourav Saha, Pritha Ganguly, Subhajit Chaudhury
Vision Based Human Pose Estimation for Virtual Cloth Fitting. ICVGIP (2014)
Subhajit Chaudhury, Subhasis Chaudhuri
Volume preserving haptic pottery. HAPTICS (2014)