A curated list of resources for Learning with Noisy Labels
A curated (most recent) list of resources for Learning with Noisy Labels
Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of ...
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy La...
The official implementation of the ACM MM'2021 paper Co-learning: Learni...
Tensorflow source code for "CleanNet: Transfer Learning for Scalable Ima...
[ICLR2021] Official Pytorch implementation of "When Optimizing f-Diverge...
Learning to Split for Automatic Bias Detection
[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning
ICLR 2021, "Learning with feature-dependent label noise: a progressive a...
(CVPR 2024) Pytorch implementation of “SURE: SUrvey REcipes for building...