paper

Notes on Margin Training and Margin p-Values for Deep Neural Network Classifiers

arXiv:1910.08032

Abstract

We provide a new local class-purity theorem for Lipschitz continuous DNN classifiers. In addition, we discuss how to achieve classification margin for training samples. Finally, we describe how to compute margin p-values for test samples.