noisy-labels topic
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
ELR
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
symmetric_cross_entropy_for_noisy_labels
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
meta-weight-net
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
NoiseFace
Noise-Tolerant Paradigm for Training Face Recognition CNNs [Official, CVPR 2019]
Active-Passive-Losses
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
Robust-f-divergence-measures
[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
noisy_label_understanding_utilizing
ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels