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Souradip Chakraborty
Souradip Chakraborty
University of Maryland, College Park | Past : ML Research@Walmart Labs
Verified email at umd.edu - Homepage
Title
Cited by
Cited by
Year
Position: On the Possibilities of AI-Generated Text Detection
S Chakraborty, A Bedi, S Zhu, B An, D Manocha, F Huang
Forty-first International Conference on Machine Learning, 0
124*
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
582020
MaxMin-RLHF: Alignment with Diverse Human Preferences
S Chakraborty, J Qiu, H Yuan, A Koppel, D Manocha, F Huang, A Bedi, ...
Forty-first International Conference on Machine Learning, 0
51*
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
45*2023
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
25*2023
Provably sample efficient rlhf via active preference optimization
N Das, S Chakraborty, A Pacchiano, SR Chowdhury
arXiv preprint arXiv:2402.10500, 2024
20*2024
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, BM Sadler, ...
First Vision and Language for Autonomous Driving and Robotics Workshop, 2024
202024
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
202022
G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
S Chakraborty, AR Gosthipaty, S Paul
arXiv preprint arXiv:2009.12007, 2020
192020
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
11*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
112022
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
102023
High-Dimensional Bayesian Optimization with Invariance
E Verma, S Chakraborty, RR Griffiths
ICML 2022 Workshop on Adaptive Experimental Design and Active Learning, 2022
9*2022
Transfer Q Star: Principled Decoding for LLM Alignment
S Chakraborty, SS Ghosal, M Yin, D Manocha, M Wang, AS Bedi, ...
arXiv preprint arXiv:2405.20495, 2024
82024
An attempt-Detection of COVID-19 presence from chest X-ray scans using CNN & class activation maps
S Chakraborty
82020
Is poisoning a real threat to LLM alignment? Maybe more so than you think
P Pathmanathan, S Chakraborty, X Liu, Y Liang, F Huang
arXiv preprint arXiv:2406.12091, 2024
72024
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
72023
Learning representation for mixed data types with a nonlinear deep encoder-decoder framework
S Sahoo, S Chakraborty
arXiv preprint arXiv:2009.09634, 2020
72020
Sail: Self-improving efficient online alignment of large language models
M Ding, S Chakraborty, V Agrawal, Z Che, A Koppel, M Wang, A Bedi, ...
arXiv preprint arXiv:2406.15567, 2024
62024
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
X Liu, S Chakraborty, Y Sun, F Huang
arXiv preprint arXiv:2305.17342, 2023
6*2023
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