108 citations · 222 across the 5 of their papers we have counts for
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stat.ML2020
On the training dynamics of deep networks with regularization
Aitor Lewkowycz, Guy Gur-Ari
We study the role of regularization in deep learning, and uncover simple relations between the performance of the model, the coefficient, the learning rate, and the num…
stat.ML2020★ 58 cited
The large learning rate phase of deep learning: the catapult mechanism
Aitor Lewkowycz, Yasaman Bahri, Ethan Dyer +2
The choice of initial learning rate can have a profound effect on the performance of deep networks. We present a class of neural networks with solvable training dynamics, and confi…