The official PyTorch implemention of our paper "Learning to Rectify for Robust Learning with Noisy Labels".
Run
python main.py --corruption_type flip --corruption_prob 0.4 --dataset cifar10 --sample_number 1 --gpuid 0
Cite
If you find the code useful, please consider citing our paper:
@article{SUN2021108467,
title = {Learning to Rectify for Robust Learning with Noisy Labels},
author = {Haoliang Sun and Chenhui Guo and Qi Wei and Zhongyi Han and Yilong Yin},
journal = {Pattern Recognition},
volume = {124},
pages = {108467},
year = {2022},
issn = {0031-3203},
doi = {https://doi.org/10.1016/j.patcog.2021.108467},
url = {https://www.sciencedirect.com/science/article/pii/S0031320321006439}
}
License
This project is licensed under the terms of the MIT license.