Embracing Biased Transition Matrices for Complementary-Label Learning with Many Classes

Tan-Ha Mai, Chao-Kai Chiang, Han-Hwa Shih +3

Complementary-label learning (CLL) is a weakly supervised paradigm where instances are labeled with classes they do not belong to. Despite a decade of research, CLL methods remain…