ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
======== This is the code for the paper: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
Presented at ICML'20 If you find this code useful in your research then please cite
@InProceedings{pmlr-v119-han20c,
title = {{SIGUA}: Forgetting May Make Learning with Noisy Labels More Robust},
author = {Han, Bo and Niu, Gang and Yu, Xingrui and Yao, Quanming and Xu, Miao and Tsang, Ivor and Sugiyama, Masashi},
booktitle = {International Conference on Machine Learning},
pages = {4006--4016},
year = {2020}
}Istall Miniconda3, and then
conda create -f environment.yml
conda activate pytorch1.0.0_py36sh scripts/mnist_sigua_sl.sh
sh scripts/mnist_sigua_bc.sh
sh scripts/cifar10_sigua_sl.sh
sh scripts/cifar10_sigua_bc.shPlease check the other reproducible code of SIGUA: https://github.com/yeachan-kr/pytorch-sigua