Label Noise

Robust Losses

• DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination (2022-08-22)

Curriculum Learning

Noise Correction

GitHub - MrChenFeng/SSR_BMVC2022: SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise

Early Stopping

GitHub - mahf93/tracking-memorization: Code for "Leveraging Unlabeled Data to Track Memorization"