CrossSplit: Mitigating Label Noise Memorization through Data Splitting

Official PyTorch Code for the ICML 2023 paper "CrossSplit: Mitigating Label Noise Memorization through Data Splitting" https://proceedings.mlr.press/v202/kim23a.html

Run (CIFAR10 with 50% symmetric noise)

python Train_cifar.py --dataset cifar10 --num_class 10 --noise_mode 'sym' --r 0.5 

Run (CIFAR100 with 90% symmetric noise)

python Train_cifar.py --dataset cifar100 --num_class 100 --noise_mode 'sym' --r 0.9 

Citation

@InProceedings{Jihye_2023_ICML,
  title={CrossSplit: Mitigating Label Noise Memorization through Data Splitting}, 
  author={Jihye Kim and Aristide Baratin and Yan Zhang and Simon Lacoste-Julien},
  booktitle={Proceedings of the 40th International Conference on Machine Learning (ICML)},
  year={2023}, 
  pages = {16377-16392}
  }