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Explaining Neural Scaling Laws

Feb 12, 2021
Yasaman Bahri, Ethan Dyer, Jared Kaplan, Jaehoon Lee, Utkarsh Sharma

* 11 pages, 5 figures + Supplement 

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When Do Curricula Work?

Dec 05, 2020
Xiaoxia Wu, Ethan Dyer, Behnam Neyshabur

* ICLR 2021 

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Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible

Aug 25, 2020
Neha S. Wadia, Daniel Duckworth, Samuel S. Schoenholz, Ethan Dyer, Jascha Sohl-Dickstein

* 15+7 pages, 7 figures; added references, edited model descriptions for clarity, results unchanged 

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Asymptotics of Wide Convolutional Neural Networks

Aug 19, 2020
Anders Andreassen, Ethan Dyer

* 23 pages, 12 figures 

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Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics

Jul 14, 2020
Vinay V. Ramasesh, Ethan Dyer, Maithra Raghu

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The large learning rate phase of deep learning: the catapult mechanism

Mar 04, 2020
Aitor Lewkowycz, Yasaman Bahri, Ethan Dyer, Jascha Sohl-Dickstein, Guy Gur-Ari

* 25 pages, 19 figures 

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Affinity and Diversity: Quantifying Mechanisms of Data Augmentation

Feb 20, 2020
Raphael Gontijo-Lopes, Sylvia J. Smullin, Ekin D. Cubuk, Ethan Dyer

* 10 pages, 7 figures 

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Asymptotics of Wide Networks from Feynman Diagrams

Sep 25, 2019
Ethan Dyer, Guy Gur-Ari

* 10 pages, 3 figures, 1 Table + Appendices 

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Gradient Descent Happens in a Tiny Subspace

Dec 12, 2018
Guy Gur-Ari, Daniel A. Roberts, Ethan Dyer

* 9 pages + appendices, 12 figures 

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