Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models

Yuzhou Cao, Shuqi Liu, Yitian Xu

A weakly-supervised learning framework named as complementary-label learning has been proposed recently, where each sample is equipped with a single complementary label that denote…