CLID-MU: Cross-Layer Information Divergence Based Meta Update Strategy for Learning with Noisy Labels

Ruofan Hu, Dongyu Zhang, Huayi Zhang +1

Learning with noisy labels (LNL) is essential for training deep neural networks with imperfect data. Meta-learning approaches have achieved success by using a clean unbiased labele…