xiaoboxia / Classification-with-noisy-labels-by-importance-reweighting

TPAMI: Classification with noisy labels by importance reweighting.

Classification with noisy labels by importance reweighting

TPAMI‘2016: [Classification with noisy labels by importance reweighting](PyTorch implementation).

======== Here is an example:

python main.py --dataset cifar10 --noise_rate 0.5

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

@inproceedings{liu2016does,
  title={Classification with noisy labels by importance reweighting},
  author={Liu, Tongliang and Tao, Dacheng},
  booktitle={IEEE Transactions on pattern analysis and machine intelligence},
  pages={447--461},
  year={2016}
}