35 citations · 37 across the 2 of their papers we have counts for
2 papers
cond-mat.dis-nn2022★ 35 cited
Stochastic gradient descent introduces an effective landscape-dependent regularization favoring flat solutions
Ning Yang, Chao Tang, Yuhai Tu
Generalization is one of the most important problems in deep learning (DL). In the overparameterized regime in neural networks, there exist many low-loss solutions that fit the tra…
cs.LG2019★ 2 cited
An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense
Chao Tang, Yifei Fan, Anthony Yezzi
The safety and robustness of learning-based decision-making systems are under threats from adversarial examples, as imperceptible perturbations can mislead neural networks to compl…