no code implementations • 29 Sep 2021 • Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Yang Liu
It was shown that LS serves as a regularizer for training data with hard labels and therefore improves the generalization of the model.
Ranked #15 on Learning with noisy labels on CIFAR-10N-Worst
1 code implementation • 8 Jun 2021 • Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Masashi Sugiyama, Yang Liu
We provide understandings for the properties of LS and NLS when learning with noisy labels.
Ranked #9 on Learning with noisy labels on CIFAR-10N-Random3