noisy-labels

There are 5 repositories under noisy-labels topic.

cleanlab / cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
active-learning annotation data-centric-ai data-cleaning data-curation data-labeling data-profiling data-quality data-science data-validation dataops dataquality datasets exploratory-data-analysis labeling llms noisy-labels out-of-distribution-detection outlier-detection weak-supervision
Language:Python 9776
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
2641
awesome-open-data-centric-ai
Renumics / awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
awesome-list data-centric-ai data-curation data-versioning data-visualization explainable-ai active-learning feature-vector robust-machine-learning bias-detection computer-vision data-drift deep-learning nlp noisy-labels outlier-detection synthetic-data uncertainty-estimation machine-learning documentation-only
701
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
686
encord-team / encord-active
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.
active-learning annotations computer-vision data data-centric data-cleaning data-quality data-science data-validation deep-learning label-errors label-quality machine-learning ml mlops model-quality noisy-labels object-detection python
Language:Python 436
shengliu66 / ELR
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
noisy-labels robust-learning deep-learning statistical-learning
Language:Python 288
xjtushujun / meta-weight-net
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
meta-learning sample-reweighting noisy-labels class-imbalance
Language:Python 281
YisenWang / symmetric_cross_entropy_for_noisy_labels
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
cross-entropy-loss iccv2019 noisy-labels
Language:Python 171
huangyangyu / NoiseFace
Noise-Tolerant Paradigm for Training Face Recognition CNNs [Official, CVPR 2019]
caffe cnn cvpr2019 face-recognition noisy-labels
Language:Python 136
HanxunH / Active-Passive-Losses
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
deep-learning deep-neural-networks icml icml-2020 label-noise noisy-data noisy-labels pytorch robust-learning unreliable-labels
Language:Python 134
chengtan9907 / Co-learning
The official implementation of the ACM MM'21 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 117
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 117
ydkim1293 / NLNL-Negative-Learning-for-Noisy-Labels
NLNL: Negative Learning for Noisy Labels
negative-learning nlnl noisy-labels pytorch
Language:Python 103
chenpf1025 / noisy_label_understanding_utilizing
ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
noisy-labels robust icml
Language:Python 90
salesforce / MoPro
MoPro: Webly Supervised Learning
weakly-supervised-learning representation-learning webly-supervised-learning noisy-labels
Language:Python 86
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 81
Kangningthu / ADELE
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations (CVPR 2022 Oral)
computer-vision deep-learning machine-learning noisy-labels segmentation weakly-supervised-segmentation
Language:Python 80
zhangchbin / OnlineLabelSmoothing
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
adversarial-attacks classification deep-learning fine-grained-classification noisy-labels pytorch regularization robustness tip2021
Language:Python 73
moucheng2017 / Med-Noisy-Labels
[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
noisy-labels segmentation
Language:Python 71
C2D
ContrastToDivide / C2D
PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
deep-learning pytorch noisy-labels cifar-10 clothing1m
Language:Python 70
Hzzone / TCL
Twin Contrastive Learning with Noisy Labels (CVPR 2023)
noisy-label-learning noisy-labels
Language:Python 68
RyanWangZf / Influence_Subsampling
Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
influence-functions subsampling noisy-labels newton-cg truncated-newton-method aaai2020 aaai
Language:Python 65
ayaanzhaque / SDCNL
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)
depression label-correction deep-learning scraped-data depression-classification noisy-labels nlp suicide depression-identification reddit embeddings noise icann2021
Language:Python 62
nazmul-karim170 / UNICON
[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"
contrastive-learning deep-learning deep-neural-networks jensen-shannon-divergence label-noise-robustness machine-learning noisy-labels semi-supervised-learning
Language:Python 60
XinshaoAmosWang / ProSelfLC-AT
noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.
knowledge-distillation uncertainty entropy missing-labels noisy-labels semi-supervised-learning robust-optimization
Language:HTML 59
penghu-cs / MRL
Learning Cross-Modal Retrieval with Noisy Labels (CVPR 2021, PyTorch Code)
cross-modal-retrieval multimodal-deep-learning noisy-labels
Language:Python 51
XLearning-SCU / 2021-CVPR-MvCLN
PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)
contrastive-loss multi-view-learning noisy-labels
Language:Python 46
cgnorthcutt / confidentlearning-reproduce
Official data release to reproduce Confident Learning paper results
confident-learning reproducible-research reproducibility machine-learning supervised-learning weak-supervision noisy-labels
Language:Jupyter Notebook 40
chenpf1025 / IDN
AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
deep-neural-networks instance-dependent-noise label-noise noisy-data noisy-labels robust-learning
Language:Python 35
cxliu0 / OA-MIL
[ECCV 2022] Robust Object Detection With Inaccurate Bounding Boxes
noisy-labels object-detection
Language:Python 34
XLearning-SCU / Awesome-Noisy-Correspondence
This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our emails: linyijie.gm@gmail.com yangmouxing@gmail.com qinyang.gm@gmail.com
noisy-correspondence noisy-labels
34
arghosh / noisy_label_pretrain
noisy-label-learning noisy-labels contrastive-learning meta-weight-net cvpr cvpr2021
Language:Python 31
bupt-ai-cz / PGDF
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels
computer-vision deep-learning image-classification noisy-labels
Language:Python 31
saran9991 / llm-data-annotation
Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improvement, and integrates CleanLab (Confident Learning) to ensure high-quality datasets and better model performance
bert data-annotation fine-tuning gpt-3-5-turbo llm nlp dvc mlflow active-learning cleanlab confident-learning gpt gpt-4 noisy-labels
Language:Python 30
MrChenFeng / SSR_BMVC2022
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)
semi-supervised-learning supervised-learning unsupervised-learning deep-learning noisy-labels pytorch self-supervised-learning
Language:Python 29
wangjksjtu / rl-perturbed-reward
Reinforcement Learning with Perturbed Reward, AAAI 2020
reinforcement-learning noisy-labels confusion-matrix openai-gym atari-games aaai2020
Language:Python 28

noisy-labels

cleanlab / cleanlab

subeeshvasu / Awesome-Learning-with-Label-Noise

Renumics / awesome-open-data-centric-ai

weijiaheng / Advances-in-Label-Noise-Learning

encord-team / encord-active

shengliu66 / ELR

xjtushujun / meta-weight-net

YisenWang / symmetric_cross_entropy_for_noisy_labels

huangyangyu / NoiseFace

HanxunH / Active-Passive-Losses

chengtan9907 / Co-learning

UCSC-REAL / negative-label-smoothing

ydkim1293 / NLNL-Negative-Learning-for-Noisy-Labels

chenpf1025 / noisy_label_understanding_utilizing

salesforce / MoPro

weijiaheng / Robust-f-divergence-measures

Kangningthu / ADELE

zhangchbin / OnlineLabelSmoothing

moucheng2017 / Med-Noisy-Labels

ContrastToDivide / C2D

Hzzone / TCL

RyanWangZf / Influence_Subsampling

ayaanzhaque / SDCNL

nazmul-karim170 / UNICON

XinshaoAmosWang / ProSelfLC-AT

penghu-cs / MRL

XLearning-SCU / 2021-CVPR-MvCLN

cgnorthcutt / confidentlearning-reproduce

chenpf1025 / IDN

cxliu0 / OA-MIL

XLearning-SCU / Awesome-Noisy-Correspondence

arghosh / noisy_label_pretrain

bupt-ai-cz / PGDF

saran9991 / llm-data-annotation

MrChenFeng / SSR_BMVC2022

wangjksjtu / rl-perturbed-reward