A curated list of resources for Learning with Noisy Labels
TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
A Survey
A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018
This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
A curated (most recent) list of resources for Learning with Noisy Labels
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
Code for CVPR 2016 paper on Learning from Noisy Labels
ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.
Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112
This code is for our paper "Spatial-Density-Peak-Clustering-for-Hyperspectral-Image-Classification-with-Noisy-Labels". And this code is a modified technique to deal with the noisy labels in the HSI b...
[MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1.
Placing labels on a timeline without overlap.
