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

Related tags

Deep LearningWarPI
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
Haoliang Sun
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