Confidence Scores Make Instance-dependent Label-noise Learning Possible

Antonin Berthon, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama

Abstract: In learning with noisy labels, for every instance, its label can randomly walk to other classes following a transition distribution which is named a noise model. Well-studied noise models are all i...