Stack Exchange Tagger. - Sanket Vaibhav Mehta; Shagun Sodhani (CoRR, 2015)

Towards Semi-Supervised Learning for Deep Semantic Role Labeling. - Sanket Vaibhav Mehta; Jay Yoon Lee; Jaime G. Carbonell (EMNLP, 2018)

Spatial Co-location Pattern Mining - A new perspective using Graph Database. - Sanket Vaibhav Mehta; Shagun Sodhani; Dhaval Patel 002 (CoRR, 2018)

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

Learning Rhyming Constraints using Structured Adversaries. - Harsh Jhamtani; Sanket Vaibhav Mehta; Jaime G. Carbonell; Taylor Berg-Kirkpatrick (EMNLP/IJCNLP (1), 2019)

Efficient Meta Lifelong-Learning with Limited Memory. - Zirui Wang; Sanket Vaibhav Mehta; Barnabás Póczos; Jaime G. Carbonell (EMNLP (1), 2020)

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)

Improving Compositional Generalization with Self-Training for Data-to-Text Generation. - Sanket Vaibhav Mehta; Jinfeng Rao; Yi Tay; Mihir Kale; Ankur Parikh; Emma Strubell (ACL (1), 2022)

Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models. - Clara Na; Sanket Vaibhav Mehta; Emma Strubell (EMNLP (Findings), 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 002; Dara Bahri; Jianmo Ni; Jai Prakash Gupta 001; Kai Hui 001; et al. (ICLR, 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)

DSI++: Updating Transformer Memory with New Documents. - Sanket Vaibhav Mehta; Jai Gupta 001; Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Jinfeng Rao; Marc Najork; Emma Strubell; Donald Metzler (EMNLP, 2023)

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

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)

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)

Efficient Lifelong Learning in Deep Neural Networks: Optimizing Architecture, Training, and Data - Sanket Vaibhav Mehta (2024)

BIG-Bench Extra Hard. - 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; et al. (ACL (1), 2025)

BIG-Bench Extra Hard. - Mehran Kazemi; Bahare Fatemi; Hritik Bansal; John Palowitch; Chrysovalantis Anastasiou; Sanket Vaibhav Mehta; Kshitij Jain 001; Virginia Aglietti; Disha Jindal; Peter Chen; Nishanth Dikkala; Gladys Tyen; et al. (CoRR, 2025)