Home

Awesome

Learning from Failure: Training Debiased Classifier from Biased Classifier

Official PyTorch implementation of "Learning from Failure: Training Debiased Classifier from Biased Classifier" (NeurIPS 2020) by Junhyun Nam et al.

Install dependencies

pip install -r requirements.txt

Make dataset

python make_dataset.py with server_user make_target=colored_mnist

Training

python train.py with server_user colored_mnist skewed3 severity4

Citation

@inproceedings{nam2020learning,
  title={Learning from Failure: Training Debiased Classifier from Biased Classifier},
  author={Junhyun Nam and Hyuntak Cha and Sungsoo Ahn and Jaeho Lee and Jinwoo Shin},
  booktitle={Advances in Neural Information Processing Systems},
  year={2020}
}