label-noise topic
negative-label-smoothing
[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
Co-learning
The official implementation of the ACM MM'2021 paper Co-learning: Learning from noisy labels with self-supervision.
HSA-NRL
Hard Sample Aware Noise Robust Learning forHistopathology Image Classification
ls
Learning to Split for Automatic Bias Detection
PLC
ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
ReID-Label-Noise
Improving-Mean-Absolute-Error-against-CCE
Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters
SemiReward
[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning
erase
[Arxiv-2023] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"
SURE
(CVPR 2024) Pytorch implementation of “SURE: SUrvey REcipes for building reliable and robust deep networks”