How does Disagreement Help Generalization against Label Corruption?

ICML'19: How does Disagreement Help Generalization against Label Corruption? (PyTorch implementation).

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Run Co-teaching+ on benchmark datasets with PyTorch >= 0.4.1

sh script/mnist.sh
sh script/cifar10.sh
sh script/cifar100.sh
sh script/news.sh 
sh script/imagenet_tiny.sh

If you find this code useful in your research, please cite

@inproceedings{yu2019does,
  title={How does Disagreement Help Generalization against Label Corruption?},
  author={Yu, Xingrui and Han, Bo and Yao, Jiangchao and Niu, Gang and Tsang, Ivor and Sugiyama, Masashi},
  booktitle={International Conference on Machine Learning},
  pages={7164--7173},
  year={2019}
}