Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting

Chen-Chen Zong, Zheng-Tao Cao, Hong-Tao Guo +4

Deep neural networks trained with standard cross-entropy loss are more prone to memorize noisy labels, which degrades their performance. Negative learning using complementary label…