Publications by Darshan Patil

Darshan Patil

Research Areas: Continual and Lifelong learning, Reinforcement Learning, Optimization
(Fast Tracked from Masters)

Activity

CoPeP: Benchmarking Continual Pretraining for Protein Language Models
Darshan Patil, Pranshu Malviya, Mathieu Reymond, Quentin Fournier, and Sarath Chandar
In ArXiv, 2026.
#NLP
[arXiv]

Position: Modular Memory is the Key to Continual Learning Agents
Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov, Lucas Caccia, Antonio Carta, Laurent Charlin, Barbara Hammer, Tyler L. Hayes, Timm Hess, Christopher Kanan, Dhireesha Kudithipudi, Xialei Liu, Vincenzo Lomonaco, Jorge Mendez-Mendez, Darshan Patil, Ameya Prabhu, Elisa Ricci, Tinne Tuytelaars, Gido M van de Ven, Liyuan Wang, Joost van de Weijer, Jonghyun Choi, Martin Mundt, and Rahaf Aljundi
International Conference on Machine Learning (ICML), 2026.
#DL
[arXiv]
Operationalizing the Superficial Alignment Hypothesis via Task Complexity
Tomás Vergara Browne, Darshan Patil, Ivan Titov, Siva Reddy, Tiago Pimentel, and Marius Mosbach
International Conference on Machine Learning (ICML), 2026.
#NLP
[arXiv]

Toward Debugging Deep Reinforcement Learning Programs with RLExplorer
Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, and Foutse Khomh
International Conference on Software Maintenance and Evolution (ICSME), 2024.
#RL
[arXiv]
Intelligent Switching for Reset-Free RL
Darshan Patil, Janarthanan Rajendran, Glen Berseth, and Sarath Chandar
International Conference on Learning Representations (ICLR), 2024.
#RL
[openreview], [arXiv], [code]

An Empirical Investigation of the Role of Pre-training in Lifelong Learning
Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, and Emma Strubell
Journal of Machine Learning Research, 2023.
#DL
[jmlr], [arXiv]