Subhajit Chaudhury

According to our database, Subhajit Chaudhury authored at least 58 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning.

Maurício Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Granite Guardian.

Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martin Santillan Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Zahra Ashktorab, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri

CoRR, 2024

Large Language Models can be Strong Self-Detoxifiers.

Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel

CoRR, 2024

Generation Constraint Scaling Can Mitigate Hallucination.

Georgios Kollias, Payel Das, Subhajit Chaudhury

CoRR, 2024

TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes.

Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas

CoRR, 2024

Needle in the Haystack for Memory Based Large Language Models.

Elliot Nelson, Georgios Kollias, Payel Das, Subhajit Chaudhury, Soham Dan

CoRR, 2024

Larimar: Large Language Models with Episodic Memory Control.

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

CoRR, 2024

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.

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

CoRR, 2024

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.

Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras

CoRR, 2024

Larimar: Large Language Models with Episodic Memory Control.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Variance Reduction Can Improve Trade-Off in Multi-Objective Learning.

Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

Adversarial Robustness of Convolutional Models Learned in the Frequency Domain.

Subhajit Chaudhury, Toshihiko Yamasaki

Proceedings of the IEEE International Conference on Acoustics, 2024

Leveraging Visual Handicaps for Text-Based Reinforcement Learning.

Subhajit Chaudhury, Keerthiram Murugesan, Thomas Carta, Kartik Talamadupula, Michiaki Tatsubori

Proceedings of the IEEE International Conference on Acoustics, 2024

EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning.

Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

A Grounded Preference Model for LLM Alignment.

Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar

Proceedings of the Findings of the Association for Computational Linguistics, 2024

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.

Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

LakeBench: Benchmarks for Data Discovery over Data Lakes.

Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz

CoRR, 2023

Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency.

Maxwell Crouse, Ramón Fernandez Astudillo, Tahira Naseem, Subhajit Chaudhury, Pavan Kapanipathi, Salim Roukos, Alexander Gray

CoRR, 2023

On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.

Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach.

Heshan Devaka Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing.

Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning.

Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach.

Heshan Devaka Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen

CoRR, 2022

X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization.

Subhajit Chaudhury, Sarathkrishna Swaminathan, R. Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramón Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, Alexander Gray

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents.

Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Toward Better Planetary Surface Exploration by Orbital Imagery Inpainting.

Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Image inpainting using frequency-domain priors.

Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto

J. Electronic Imaging, 2021

Robustness of Deep Learning Models in Dermatological Evaluation: A Critical Assessment.

Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki

IEICE Trans. Inf. Syst., 2021

Reinforcement Learning with External Knowledge by using Logical Neural Networks.

Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander Gray

CoRR, 2021

Robustness of Adaptive Neural Network Optimization Under Training Noise.

Subhajit Chaudhury, Toshihiko Yamasaki

IEEE Access, 2021

Adversarial Training Time Attack Against Discriminative and Generative Convolutional Models.

Subhajit Chaudhury, Hiya Roy, Sourav Mishra, Toshihiko Yamasaki

IEEE Access, 2021

Neuro-Symbolic Reinforcement Learning with First-Order Logic.

Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Neuro-Symbolic Approaches for Text-Based Policy Learning.

Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Language-based General Action Template for Reinforcement Learning Agents.

Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

LOA: Logical Optimal Actions for Text-based Interaction Games.

Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

VisualHints: A Visual-Lingual Environment for Multimodal Reinforcement Learning.

Thomas Carta, Subhajit Chaudhury, Kartik Talamadupula, Michiaki Tatsubori

CoRR, 2020

Assessing Robustness of Deep learning Methods in Dermatological Workflow.

Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki

CoRR, 2020

Adversarial Discriminative Attention for Robust Anomaly Detection.

Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, Ryuki Tachibana

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Investigating Generalization in Neural Networks Under Optimally Evolved Training Perturbations.

Subhajit Chaudhury, Toshihiko Yamasaki

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games.

Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities.

Subhajit Chaudhury

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Lunar surface image restoration using U-net based deep neural networks.

Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Danielle DeLatte, Makiko Ohtake, Tatsuaki Hashimoto

CoRR, 2019

Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning.

Subhajit Chaudhury, Daiki Kimura, Asim Munawar, Ryuki Tachibana

Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos.

Subhajit Chaudhury, Hiroki Ozaki, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro

Proceedings of the IEEE International Symposium on Multimedia, 2019

2018

Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation.

Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana

CoRR, 2018

Constrained Exploration and Recovery from Experience Shaping.

Tu-Hoa Pham, Giovanni De Magistris, Don Joven Agravante, Subhajit Chaudhury, Asim Munawar, Ryuki Tachibana

CoRR, 2018

Internal Model from Observations for Reward Shaping.

Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, Sakyasingha Dasgupta

CoRR, 2018

Focusing on What is Relevant: Time-Series Learning and Understanding using Attention.

Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Transfer Learning from Synthetic to Real Images Using Variational Autoencoders for Precise Position Detection.

Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Transfer learning from synthetic to real images using variational autoencoders for robotic applications.

Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta

CoRR, 2017

Conditional generation of multi-modal data using constrained embedding space mapping.

Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana

CoRR, 2017

Spatial-Temporal Motion Field Analysis for Pixelwise Crack Detection on Concrete Surfaces.

Subhajit Chaudhury, Gaku Nakano, Jun Takada, Akihiko Iketani

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Can fully convolutional networks perform well for general image restoration problems?

Subhajit Chaudhury, Hiya Roy

Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Text to image generative model using constrained embedding space mapping.

Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2014

Vision Based Human Pose Estimation for Virtual Cloth Fitting.

Sourav Saha, Pritha Ganguly, Subhajit Chaudhury

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Volume preserving haptic pottery.

Subhajit Chaudhury, Subhasis Chaudhuri

Proceedings of the IEEE Haptics Symposium, 2014