1. Unsupervised Feature Learning via Non-parametric Instance Discrimination
2. Iterative Learning with Open-set Noisy Labels
3. Inception-v4, inception-resnet and the impact of residual connections on learning;szegedy;AAAI,2017
4. Learning with bad training data via iterative trimmed loss minimization;shen;ICML,2019
5. Training deep neural networks on noisy labels with bootstrapping;reed;ICLRE,2015