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An Introduction to Lifelong Supervised Learning


Jul 12, 2022
Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed Abdelsalam, Janarthanan Janarthanan, Sarath Chandar

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* Lifelong Learning Primer 

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


May 25, 2022
Clara Na, Sanket Vaibhav Mehta, Emma Strubell

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* 12 pages 

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


Dec 16, 2021
Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell

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* 30 pages 

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ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning


Nov 22, 2021
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

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


Oct 16, 2021
Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Hongtao Zhong, Emma Strubell

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* 10 pages 

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Efficient Meta Lifelong-Learning with Limited Memory


Oct 06, 2020
Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime Carbonell

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* Published as a main conference paper at EMNLP 2020 

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Learning Rhyming Constraints using Structured Adversaries


Sep 15, 2019
Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell, Taylor Berg-Kirkpatrick

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* EMNLP-IJCNLP 2019 Short Paper 

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Towards Semi-Supervised Learning for Deep Semantic Role Labeling


Aug 28, 2018
Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime Carbonell

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* EMNLP 2018 

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Gradient-based Inference for Networks with Output Constraints


Aug 26, 2018
Jay Yoon Lee, Michael Wick, Sanket Vaibhav Mehta, Jean-Baptiste Tristan, Jaime Carbonell

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