CTRL: Clustering Training Losses for Label Error Detection

This repo contains the implementation of CTRL and files for running experiments reported in the paper.

• clustering.py computes masks using CTRL.
• confident_learning.py computes masks using Confident Learning methods.
• cifar10 contains files for CIFAR10 experiments.
• cifar100 contains instructions of how to modify files in cifar10 to conduct experiments for CIFAR100.
• tabular contains files for tabular datasets experiments.

Please cite our paper if you use this package.