2021
Intraclass clustering: an implicit learning ability that regularizes DNNs
ICLR 2021poster
Several works have shown that the regularization mechanisms underlying deep neural networks' generalization performances are still poorly understood. In this paper, we hypothesize that deep neural networks are regularized through their ability to extract meaningful clusters among the samples of a cl…