Souradip Chakraborty
Souradip Chakraborty
University of Maryland, College Park | Past : ML Research@Walmart Labs
Verified email at - Homepage
Cited by
Cited by
On the possibilities of ai-generated text detection
S Chakraborty, AS Bedi, S Zhu, B An, D Manocha, F Huang
arXiv preprint arXiv:2304.04736, 2023
BioMedBERT: A pre-trained biomedical language model for QA and IR
S Chakraborty, E Bisong, S Bhatt, T Wagner, R Elliott, F Mosconi
Proceedings of the 28th international conference on computational …, 2020
A Survey on the Possibilities & Impossibilities of AI-generated Text Detection
SS Ghosal, S Chakraborty, J Geiping, F Huang, D Manocha, A Bedi
Transactions on Machine Learning Research, 2023
On the hidden biases of policy mirror ascent in continuous action spaces
AS Bedi, S Chakraborty, A Parayil, BM Sadler, P Tokekar, A Koppel
International Conference on Machine Learning, 1716-1731, 2022
G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
S Chakraborty, AR Gosthipaty, S Paul
arXiv preprint arXiv:2009.12007, 2020
Parl: A unified framework for policy alignment in reinforcement learning
S Chakraborty, A Bedi, A Koppel, H Wang, D Manocha, M Wang, F Huang
The Twelfth International Conference on Learning Representations, 2023
MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences
S Chakraborty, J Qiu, H Yuan, A Koppel, F Huang, D Manocha, AS Bedi, ...
arXiv preprint arXiv:2402.08925, 2024
Posterior coreset construction with kernelized stein discrepancy for model-based reinforcement learning
S Chakraborty, AS Bedi, P Tokekar, A Koppel, B Sadler, F Huang, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6980-6988, 2023
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization
S Chakraborty, AS Bedi, K Weerakoon, P Poddar, A Koppel, P Tokekar, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 989-995, 2023
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm
K Weerakoon, S Chakraborty, N Karapetyan, AJ Sathyamoorthy, AS Bedi, ...
2022 Conference on Robot Learning (CORL'22), 2022
High-Dimensional Bayesian Optimization with Invariance
E Verma, S Chakraborty, RR Griffiths
ICML 2022 Workshop on Adaptive Experimental Design and Active Learning, 2022
An attempt-Detection of COVID-19 presence from Chest X-ray scans using CNN & Class Activation Maps
S Chakraborty
Steering: Stein information directed exploration for model-based reinforcement learning
S Chakraborty, AS Bedi, A Koppel, M Wang, F Huang, D Manocha
arXiv preprint arXiv:2301.12038, 2023
Provably Sample Efficient RLHF via Active Preference Optimization
N Das, S Chakraborty, A Pacchiano, SR Chowdhury
arXiv preprint arXiv:2402.10500, 2024
Biodegradation and rapid removal of methyl parathion by the paddy field cyanobacterium Fischerella sp. Algal Res 25: 285–296
B Tiwari, S Chakraborty, AK Srivastava, AK Mishra
On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities
X Wu, R Xian, T Guan, J Liang, S Chakraborty, F Liu, B Sadler, ...
arXiv preprint arXiv:2402.10340, 2024
Learning representation for mixed data types with a nonlinear deep encoder-decoder framework
S Sahoo, S Chakraborty
arXiv preprint arXiv:2009.09634, 2020
Siamese triple ranking convolution network in signature forgery detection
O Chhabra, S Chakraborty
Proceedings of the Alliance International Conference on Artificial …, 2019
Transformers at SemEval-2020 Task 11: Propaganda fragment detection using diversified bert architectures based ensemble learning
E Verma, V Motupalli, S Chakraborty
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 1823-1828, 2020
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL
X Liu, S Chakraborty, Y Sun, F Huang
arXiv preprint arXiv:2305.17342, 2023
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