9 citations · 23 across the 6 of their papers we have counts for
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cs.LG2021★ 2 cited
When and how epochwise double descent happens
Cory Stephenson, Tyler Lee
Deep neural networks are known to exhibit a `double descent' behavior as the number of parameters increases. Recently, it has also been shown that an `epochwise double descent' eff…
cs.LG2021★ 1 cited
Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks
Landan Seguin, Anthony Ndirango, Neeli Mishra +2
Adversarial defenses train deep neural networks to be invariant to the input perturbations from adversarial attacks. Almost all defense strategies achieve this invariance through a…
cs.LG2019★ 9 cited
Generalization in multitask deep neural classifiers: a statistical physics approach
Tyler Lee, Anthony Ndirango
A proper understanding of the striking generalization abilities of deep neural networks presents an enduring puzzle. Recently, there has been a growing body of numerically-grounded…