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Journal Articles
- 2020
[j1]Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu:
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. J. Mach. Learn. Res. 21: 140:1-140:67 (2020)
Conference and Workshop Papers
- 2022
- [c3]Michael Matena, Colin Raffel:
Merging Models with Fisher-Weighted Averaging. NeurIPS 2022 - [c2]Michael Matena, Colin Raffel:
A Combinatorial Perspective on the Optimization of Shallow ReLU Networks. NeurIPS 2022 - 2021
- [c1]Sharan Narang, Hyung Won Chung, Yi Tay, Liam Fedus, Thibault Févry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel:
Do Transformer Modifications Transfer Across Implementations and Applications? EMNLP (1) 2021: 5758-5773
Informal and Other Publications
- 2023
- [i5]Michael Matena, Colin Raffel:
NPEFF: Non-Negative Per-Example Fisher Factorization. CoRR abs/2310.04649 (2023) - 2022
- [i4]Michael Matena, Colin Raffel:
A Combinatorial Perspective on the Optimization of Shallow ReLU Networks. CoRR abs/2210.00176 (2022) - 2021
- [i3]Sharan Narang, Hyung Won Chung, Yi Tay, William Fedus, Thibault Févry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel:
Do Transformer Modifications Transfer Across Implementations and Applications? CoRR abs/2102.11972 (2021) - [i2]Michael Matena, Colin Raffel:
Merging Models with Fisher-Weighted Averaging. CoRR abs/2111.09832 (2021) - 2019
- [i1]Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu:
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. CoRR abs/1910.10683 (2019)
Coauthor Index
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