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Michael Matena
Michael Matena
PhD Student, UNC Chapel Hill
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Exploring the limits of transfer learning with a unified text-to-text transformer
C Raffel, N Shazeer, A Roberts, K Lee, S Narang, M Matena, Y Zhou, W Li, ...
The Journal of Machine Learning Research 21 (1), 5485-5551, 2020
132382020
Exploring the limits of transfer learning with a unified text-to-text transformer
A Roberts, C Raffel, K Lee, M Matena, N Shazeer, PJ Liu, S Narang, W Li, ...
2752019
Exploring the limits of transfer learning with a unified text-to-text transformer (2019)
C Raffel, N Shazeer, A Roberts, K Lee, S Narang, M Matena, Y Zhou, W Li, ...
arXiv preprint arXiv:1910.10683, 1910
1421910
Merging models with fisher-weighted averaging
MS Matena, CA Raffel
Advances in Neural Information Processing Systems 35, 17703-17716, 2022
952022
Do transformer modifications transfer across implementations and applications?
S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ...
arXiv preprint arXiv:2102.11972, 2021
812021
NPEFF: Non-Negative Per-Example Fisher Factorization
M Matena, C Raffel
arXiv preprint arXiv:2310.04649, 2023
2023
A Combinatorial Perspective on the Optimization of Shallow ReLU Networks
MS Matena, CA Raffel
Advances in Neural Information Processing Systems 35, 22187-22198, 2022
2022
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Articles 1–7