Sanket Vaibhav Mehta

28 papers A* 5Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	BIG-Bench Extra Hard. ACL (1) Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Lalit K. Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat
2025	J	`jnl`	BIG-Bench Extra Hard. CoRR Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Kshitij Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat
2025	J	`jnl`	Expert Routing with Synthetic Data for Domain Incremental Learning. Trans. Mach. Learn. Res. Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Michael Oberst, Bryan Wilder, Zachary Chase Lipton
2024	—	`—`	Efficient Lifelong Learning in Deep Neural Networks: Optimizing Architecture, Training, and Data Sanket Vaibhav Mehta
2024	J	`jnl`	Generate to Discriminate: Expert Routing for Continual Learning. CoRR Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Michael Oberst, Bryan Wilder, Zachary C. Lipton
2023	J	`jnl`	An Empirical Investigation of the Role of Pre-training in Lifelong Learning. J. Mach. Learn. Res. Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell
2023	A*	`conf`	DSI++: Updating Transformer Memory with New Documents. EMNLP Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
2023	A*	`conf`	Making Scalable Meta Learning Practical. NeurIPS Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing
2023	J	`jnl`	Making Scalable Meta Learning Practical. CoRR Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing
2023	J	`jnl`	Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints. CoRR Rajshekhar Das, Jonathan Francis, Sanket Vaibhav Mehta, Jean Oh, Emma Strubell, José M. F. Moura
2022	J	`jnl`	An Introduction to Lifelong Supervised Learning. CoRR Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed A. Abdelsalam, Janarthanan Rajendran, Sarath Chandar
2022	J	`jnl`	DSI++: Updating Transformer Memory with New Documents. CoRR Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
2022	A*	`conf`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. ICLR Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
2022	—	`conf`	Improving Compositional Generalization with Self-Training for Data-to-Text Generation. ACL (1) Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Emma Strubell
2022	—	`conf`	Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models. EMNLP (Findings) Clara Na, Sanket Vaibhav Mehta, Emma Strubell
2022	J	`jnl`	Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models. CoRR Clara Na, Sanket Vaibhav Mehta, Emma Strubell
2021	J	`jnl`	An Empirical Investigation of the Role of Pre-training in Lifelong Learning. CoRR Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell
2021	J	`jnl`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
2021	J	`jnl`	Improving Compositional Generalization with Self-Training for Data-to-Text Generation. CoRR Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Hongtao Zhong, Emma Strubell
2020	—	`conf`	Efficient Meta Lifelong-Learning with Limited Memory. EMNLP (1) Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime G. Carbonell
2020	J	`jnl`	Efficient Meta Lifelong-Learning with Limited Memory. CoRR Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime G. Carbonell
2019	A*	`conf`	Gradient-Based Inference for Networks with Output Constraints. AAAI Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell
2019	—	`conf`	Learning Rhyming Constraints using Structured Adversaries. EMNLP/IJCNLP (1) Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick
2019	J	`jnl`	Learning Rhyming Constraints using Structured Adversaries. CoRR Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick
2018	J	`jnl`	Spatial Co-location Pattern Mining - A new perspective using Graph Database. CoRR Sanket Vaibhav Mehta, Shagun Sodhani, Dhaval Patel
2018	A*	`conf`	Towards Semi-Supervised Learning for Deep Semantic Role Labeling. EMNLP Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell
2018	J	`jnl`	Towards Semi-Supervised Learning for Deep Semantic Role Labeling. CoRR Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell
2015	J	`jnl`	Stack Exchange Tagger. CoRR Sanket Vaibhav Mehta, Shagun Sodhani