Chaudhury, Subhajit

13 publications

ICLR 2025 Large Language Models Can Become Strong Self-Detoxifiers Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel

ICLRW 2025 Sparse Gradient Compression for Fine-Tuning Large Language Models David H. Yang, Mohammad Mohammadi Amiri, Tejaswini Pedapati, Subhajit Chaudhury, Pin-Yu Chen

ICMLW 2024 Generation Constraint Scaling Can Mitigate Hallucination Georgios Kollias, Payel Das, Subhajit Chaudhury

ICML 2024 Larimar: Large Language Models with Episodic Memory Control Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurelie Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jiri Navratil, Soham Dan, Pin-Yu Chen

NeurIPSW 2024 MemReasoner: A Memory-Augmented LLM Architecture for Multi-Hop Reasoning Ching-Yun Ko, Sihui Dai, Payel Das, Georgios Kollias, Subhajit Chaudhury, Aurelie Lozano

NeurIPSW 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

ICLR 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

NeurIPS 2023 On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury

AAAI 2022 Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula

NeurIPSW 2022 SCERL: A Benchmark for Intersecting Language and Safe Reinforcement Learning Lan Hoang, Shivam Ratnakar, Nicolas Galichet, Akifumi Wachi, Keerthiram Murugesan, Songtao Lu, Mattia Atzeni, Michael Katz, Subhajit Chaudhury

WACV 2020 Adversarial Discriminative Attention for Robust Anomaly Detection Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, Ryuki Tachibana

AAAI 2020 Understanding Generalization in Neural Networks for Robustness Against Adversarial Vulnerabilities Subhajit Chaudhury

WACV 2017 Spatial-Temporal Motion Field Analysis for Pixelwise Crack Detection on Concrete Surfaces Subhajit Chaudhury, Gaku Nakano, Jun Takada, Akihiko Iketani