Mehta, Sanket Vaibhav

6 publications

TMLR 2025 Expert Routing with Synthetic Data for Domain Incremental Learning Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Michael Oberst, Bryan Wilder, Zachary Chase Lipton

JMLR 2023 An Empirical Investigation of the Role of Pre-Training in Lifelong Learning Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell

ICMLW 2023 Conditional Diffusion Replay for Continual Learning in Medical Settings Yewon Byun, Saurabh Garg, Sanket Vaibhav Mehta, Praveer Singh, Jayashree Kalpathy-cramer, Bryan Wilder, Zachary Chase Lipton

NeurIPS 2023 Making Scalable Meta Learning Practical Sang Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing

ICLR 2022 ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Gupta, Kai Hui, Sebastian Ruder, Donald Metzler

AAAI 2019 Gradient-Based Inference for Networks with Output Constraints Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell