Official PyTorch implemention of our paper "Learning to Rectify for Robust Learning with Noisy Labels".

Last update: Sep 03, 2022

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Deep Learning WarPI

Overview

WarPI

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},
pages = {108467},
year = {2021},
issn = {0031-3203},
doi = {https://doi.org/10.1016/j.patcog.2021.108467}
}

License
This project is licensed under the terms of the MIT license.

Owner

Haoliang Sun

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