Complementary-Label Learning for Arbitrary Losses and Models

Takashi Ishida, Gang Niu, Aditya Krishna Menon +1

In contrast to the standard classification paradigm where the true class is given to each training pattern, complementary-label learning only uses training patterns each equipped w…