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Sanket Vaibhav Mehta
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2020 – today
- 2023
- [j1]Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell:
An Empirical Investigation of the Role of Pre-training in Lifelong Learning. J. Mach. Learn. Res. 24: 214:1-214:50 (2023) - [c9]Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork
, Emma Strubell, Donald Metzler:
DSI++: Updating Transformer Memory with New Documents. EMNLP 2023: 8198-8213 - [c8]Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing:
Making Scalable Meta Learning Practical. NeurIPS 2023 - [i13]Rajshekhar Das, Jonathan Francis, Sanket Vaibhav Mehta, Jean Oh, Emma Strubell, José M. F. Moura:
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints. CoRR abs/2305.00131 (2023) - [i12]Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing:
Making Scalable Meta Learning Practical. CoRR abs/2310.05674 (2023) - 2022
- [c7]Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Emma Strubell:
Improving Compositional Generalization with Self-Training for Data-to-Text Generation. ACL (1) 2022: 4205-4219 - [c6]Clara Na
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models. EMNLP (Findings) 2022: 4909-4936 - [c5]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:
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. ICLR 2022 - [i11]Clara Na, Sanket Vaibhav Mehta, Emma Strubell:
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models. CoRR abs/2205.12694 (2022) - [i10]Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed A. Abdelsalam, Janarthanan Rajendran, Sarath Chandar:
An Introduction to Lifelong Supervised Learning. CoRR abs/2207.04354 (2022) - [i9]Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork
DSI++: Updating Transformer Memory with New Documents. CoRR abs/2212.09744 (2022) - 2021
- [i8]Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Hongtao Zhong, Emma Strubell:
Improving Compositional Generalization with Self-Training for Data-to-Text Generation. CoRR abs/2110.08467 (2021) - [i7]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:
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR abs/2111.10952 (2021) - [i6]Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell:
An Empirical Investigation of the Role of Pre-training in Lifelong Learning. CoRR abs/2112.09153 (2021) - 2020
- [c4]Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos
Efficient Meta Lifelong-Learning with Limited Memory. EMNLP (1) 2020: 535-548 - [i5]Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime G. Carbonell:
Efficient Meta Lifelong-Learning with Limited Memory. CoRR abs/2010.02500 (2020)
2010 – 2019
- 2019
- [c3]Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell:
Gradient-Based Inference for Networks with Output Constraints. AAAI 2019: 4147-4154 - [c2]Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick:
Learning Rhyming Constraints using Structured Adversaries. EMNLP/IJCNLP (1) 2019: 6024-6030 - [i4]Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick:
Learning Rhyming Constraints using Structured Adversaries. CoRR abs/1909.06743 (2019) - 2018
- [c1]Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell:
Towards Semi-Supervised Learning for Deep Semantic Role Labeling. EMNLP 2018: 4958-4963 - [i3]Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell:
Towards Semi-Supervised Learning for Deep Semantic Role Labeling. CoRR abs/1808.09543 (2018) - [i2]Sanket Vaibhav Mehta, Shagun Sodhani, Dhaval Patel:
Spatial Co-location Pattern Mining - A new perspective using Graph Database. CoRR abs/1810.09007 (2018) - 2015
- [i1]Sanket Vaibhav Mehta, Shagun Sodhani:
Stack Exchange Tagger. CoRR abs/1512.04092 (2015)
Coauthor Index
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