Sanket Vaibhav Mehta

According to our database, Sanket Vaibhav Mehta authored at least 16 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generate to Discriminate: Expert Routing for Continual Learning.

Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Michael Oberst, Bryan Wilder, Zachary C. Lipton

CoRR, 2024

2023

An Empirical Investigation of the Role of Pre-training in Lifelong Learning.

Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell

J. Mach. Learn. Res., 2023

Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints.

Rajshekhar Das, Jonathan Francis, Sanket Vaibhav Mehta, Jean Oh, Emma Strubell, José M. F. Moura

CoRR, 2023

Making Scalable Meta Learning Practical.

Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DSI++: Updating Transformer Memory with New Documents.

Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

An Introduction to Lifelong Supervised Learning.

Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed A. Abdelsalam, Janarthanan Rajendran, Sarath Chandar

CoRR, 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 Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler

Proceedings of the Tenth International Conference on Learning Representations, 2022

Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models.

Clara Na, Sanket Vaibhav Mehta, Emma Strubell

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Improving Compositional Generalization with Self-Training for Data-to-Text Generation.

Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Emma Strubell

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Improving Compositional Generalization with Self-Training for Data-to-Text Generation.

Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Hongtao Zhong, Emma Strubell

CoRR, 2021

2020

Efficient Meta Lifelong-Learning with Limited Memory.

Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime G. Carbonell

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Learning Rhyming Constraints using Structured Adversaries.

Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Gradient-Based Inference for Networks with Output Constraints.

Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Spatial Co-location Pattern Mining - A new perspective using Graph Database.

Sanket Vaibhav Mehta, Shagun Sodhani, Dhaval Patel

CoRR, 2018

Towards Semi-Supervised Learning for Deep Semantic Role Labeling.

Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2015

Stack Exchange Tagger.

Sanket Vaibhav Mehta, Shagun Sodhani

CoRR, 2015