ACD-U: Asymmetric co-teaching with machine unlearning for robust learning with noisy labels

Reo Fukunaga, Soh Yoshida, Mitsuji Muneyasu

Deep neural networks are prone to memorizing incorrect labels during training, which degrades their generalizability. Although recent methods have combined sample selection with se…