label-noise

There are 3 repositories under label-noise topic.

subeeshvasu / Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
deep-neural-networks label-noise noisy-data noisy-labels robust-learning unreliable-labels
2525
weijiaheng / Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
noisy-labels robustness label-noise noisy-label-learning deep-neural-networks weakly-supervised-learning robust-learning learning-with-noisy-labels deep-learning international-conference paper conference noisy-data unreliable-labels robust-machine-learning learning-with-label-noise
591
UCSC-REAL / cifar-10-100n
Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
label-noise
Language:Python 168
HanxunH / Active-Passive-Losses
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
icml-2020 label-noise pytorch icml noisy-labels deep-learning deep-neural-networks noisy-data unreliable-labels robust-learning
Language:Python 126
LayneH / self-adaptive-training
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
machine-learning computer-vision generalization overfitting label-noise adversarial-robustness
Language:Python 124
Augmentation-for-LNL
KentoNishi / Augmentation-for-LNL
[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
augmentation-policies cifar10 cifar100 clothing1m cvpr cvpr2021 data-augmentation data-augmentation-strategies label-noise label-noise-robustness semi-supervised-learning
Language:Python 113
chengtan9907 / Co-learning
The official implementation of the ACM MM'2021 paper Co-learning: Learning from noisy labels with self-supervision.
awesome-list benchmark cifar10 cifar100 contrastive-learning deep-learning label-noise noisy-label-learning noisy-labels pytorch self-supervised-learning semi-supervised-learning
Language:Python 110
UCSC-REAL / negative-label-smoothing
[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
label-noise label-smoothing noisy-label-learning noisy-labels robustness trustworthy-machine-learning
Language:Python 95
kuanghuei / clean-net
Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)
label-noise transfer-learning large-scale-learning computer-vision tensorflow deep-learning
Language:Python 88
weijiaheng / Robust-f-divergence-measures
[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
label-noise noisy-labels f-divergence deep-neural-networks noisy-label-learning robustness
Language:Python 80
YujiaBao / ls
Learning to Split for Automatic Bias Detection
bias-detection data-split label-noise machine-learning
Language:Python 46
Westlake-AI / SemiReward
[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning
audio-classification computer-vision machine-learning natural-language-processing regression reward-model semi-supervised-learning transformer cifar-100 esc-50 label-noise yahoo-answers vision-transformer weakly-supervised-learning
Language:Python 43
pxiangwu / PLC
ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
iclr2021 label-noise machine-learning pytorch
Language:Python 41
YutingLi0606 / SURE
(CVPR 2024) Pytorch implementation of “SURE: SUrvey REcipes for building reliable and robust deep networks”
data-corruption failure-prediction label-noise long-tailed-distribution uncertainty-estimation
Language:Python 38
chenpf1025 / IDN
AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
noisy-labels label-noise noisy-data deep-neural-networks robust-learning instance-dependent-noise
Language:Python 32
XinshaoAmosWang / Improving-Mean-Absolute-Error-against-CCE
Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters
data-fitting reweighting-examples label-noise mean-absolute-error category-cross-entropy outliers
Language:Shell 30
bupt-ai-cz / HSA-NRL
Hard Sample Aware Noise Robust Learning forHistopathology Image Classification
deep-learning image-classification pytorch-implementation label-noise histopathology-images
Language:Python 28
chenpf1025 / RobustnessAccuracy
AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
noisy-labels label-noise noisy-data deep-neural-networks robust-learning validation early-stopping
Language:Python 23
eraseai / erase
[Arxiv-2023] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"
graph-neural-networks label-noise machine-learning node-classification
Language:Python 18
mangye16 / ReID-Label-Noise
noisy-labels label-noise re-identification person-re-identification
Language:Python 18
snu-mllab / Neural-Relation-Graph
Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)
dataset-cleaning label-noise ood-detection
Language:Python 15
dmizr / phuber
[Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)
label-noise robust-learning gradient-clipping pytorch
Language:Python 14
verb_ambiguity
kiyoon / verb_ambiguity
Official implementation of "An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition", BMVC 2022
action-recognition activity-recognition label-noise multi-label-learning video video-understanding label-ambiguity multi-label-action-recognition-dataset single-positive-multi-label-learning
Language:Python 11
AndrewZhou924 / RGIB
[NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction
graph-neural-networks graph-noise robust-optimization edge-noise label-noise
Language:Python 10
biquality-learn / biquality-learn
A Python Library for Biquality Learning
covariate-shift distribution-shift label-noise weakly-supervised-learning
Language:Python 10
kremerj / relabeling
Code repository for the robust active label correction paper.
active-learning label-noise logistic-regression convolutional-neural-networks aistats-2018
Language:Terra 10
XinshaoAmosWang / DerivativeManipulation
In the context of Deep Learning: What is the right way to conduct example weighting? How do you understand loss functions and so-called theorems on them?
data-fitting label-noise outlier reweighting-examples generalisation regularisation
Language:Shell 10
tmlr-group / RGIB
[NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"
edge-noise graph-neural-networks graph-noise label-noise robust-optimization
Language:Python 9
Castel44 / SREA
SREA: Self-Re-Labeling with Embedding Analysis
label-noise deep-learning time-series machine-learning classification
Language:Python 8
arghosh / RobustMW-Net
label-noise noise noisy-labels wacv2021
Language:Python 7
sayakpaul / Analytics-Vidhya-Game-of-Deep-Learning-Hackathon
Contains my experiments for the Game of Deep Learning Hackathon conducted by Analytics Vidhya
deep-learning computer-vision fastai analytics-vidhya data-cleaning active-learning label-noise
Language:Jupyter Notebook 7
KentoNishi / Aug-for-LNL-Extras
Extra bits of unsanitized code for plotting, training, etc. related to our CVPR 2021 paper "Augmentation Strategies for Learning with Noisy Labels".
python matplotlib jupyter-notebook data-augmentation-strategies label-noise-robustness label-noise cvpr2021
Language:Jupyter Notebook 6
U-Alberta / KG-Type-Correction
Code and data for the WWW 2021 research-track paper: Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
knowledge-graph label-noise entity-typing www2021
Language:Python 6
fengliu90 / Butterfly
This is the source code for Butterfly: One-step Approach towards Wildly Unsupervised Domain Adaptation (NeurIPS'19 Workshop).
domain-adaptation label-noise
Language:Python 4
zjfheart / BadLabels
Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix
flipping-labels label-noise robust-machine-learning
Language:Python 3
julilien / MitigatingLabelNoiseDataAmbiguation
Supplementary material and code for "Mitigating Label Noise through Data Ambiguation" as published at AAAI 2024.
aaai aaai2024 deep-learning label-noise label-relaxation machine-learning robustness weakly-supervised-learning data-ambiguation
Language:Python 2

label-noise

subeeshvasu / Awesome-Learning-with-Label-Noise

weijiaheng / Advances-in-Label-Noise-Learning

UCSC-REAL / cifar-10-100n

HanxunH / Active-Passive-Losses

LayneH / self-adaptive-training

KentoNishi / Augmentation-for-LNL

chengtan9907 / Co-learning

UCSC-REAL / negative-label-smoothing

kuanghuei / clean-net

weijiaheng / Robust-f-divergence-measures

YujiaBao / ls

Westlake-AI / SemiReward

pxiangwu / PLC

YutingLi0606 / SURE

chenpf1025 / IDN

XinshaoAmosWang / Improving-Mean-Absolute-Error-against-CCE

bupt-ai-cz / HSA-NRL

chenpf1025 / RobustnessAccuracy

eraseai / erase

mangye16 / ReID-Label-Noise

snu-mllab / Neural-Relation-Graph

dmizr / phuber

kiyoon / verb_ambiguity

AndrewZhou924 / RGIB

biquality-learn / biquality-learn

kremerj / relabeling

XinshaoAmosWang / DerivativeManipulation

tmlr-group / RGIB

Castel44 / SREA

arghosh / RobustMW-Net

sayakpaul / Analytics-Vidhya-Game-of-Deep-Learning-Hackathon

KentoNishi / Aug-for-LNL-Extras

U-Alberta / KG-Type-Correction

fengliu90 / Butterfly

zjfheart / BadLabels

julilien / MitigatingLabelNoiseDataAmbiguation