Latent Hinge-Minimax Risk Minimization for Inference from a Small Number of Training Samples

Dolev Raviv, Margarita Osadchy

Deep Learning (DL) methods show very good performance when trained on large, balanced data sets. However, many practical problems involve imbalanced data sets, or/and classes with…