Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
-
Updated
May 17, 2023 - Python
#
label-noise
Here are 41 public repositories matching this topic...
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
deep-neural-networks deep-learning pytorch icml noisy-data label-noise noisy-labels unreliable-labels robust-learning icml-2020
-
Updated
Jul 5, 2024 - Python
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
-
Updated
Oct 17, 2021 - Python
The official implementation of the ACM MM'21 paper Co-learning: Learning from noisy labels with self-supervision.
benchmark deep-learning pytorch semi-supervised-learning awesome-list cifar10 cifar100 label-noise self-supervised-learning noisy-labels noisy-label-learning contrastive-learning
-
Updated
May 17, 2022 - Python
[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
semi-supervised-learning data-augmentation-strategies cifar10 data-augmentation cvpr cifar100 label-noise augmentation-policies label-noise-robustness clothing1m cvpr2021
-
Updated
Jan 9, 2022 - Python
[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
robustness label-smoothing label-noise noisy-labels noisy-label-learning trustworthy-machine-learning
-
Updated
Sep 12, 2022 - Python
Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)
-
Updated
Jun 26, 2018 - Python
[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning
machine-learning natural-language-processing computer-vision regression transformer semi-supervised-learning audio-classification weakly-supervised-learning yahoo-answers cifar-100 label-noise esc-50 vision-transformer reward-model
-
Updated
Jun 10, 2024 - Python
[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
-
Updated
Dec 19, 2022 - Python
“SURE: SUrvey REcipes for building reliable and robust deep networks” (CVPR 2024) & (ECCV 2024 OOD-CV Challenge Winner)
uncertainty-estimation failure-prediction data-corruption label-noise out-of-distribution-detection long-tailed-distribution
-
Updated
Nov 6, 2024 - Python
Learning to Split for Automatic Bias Detection
-
Updated
May 1, 2023 - Python
ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
-
Updated
Oct 29, 2022 - Python
Hard Sample Aware Noise Robust Learning forHistopathology Image Classification
-
Updated
Oct 10, 2023 - Python
AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
-
Updated
Jun 9, 2021 - Python
Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
-
Updated
Jan 21, 2025 - Python
AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
-
Updated
Jun 9, 2021 - Python
[CIKM-2024] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"
-
Updated
Aug 14, 2024 - Python
-
Updated
Nov 8, 2021 - Python
Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)
-
Updated
Dec 4, 2023 - Python
A Python Library for Biquality Learning
-
Updated
Apr 13, 2025 - Python
Improve this page
Add a description, image, and links to the label-noise topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the label-noise topic, visit your repo's landing page and select "manage topics."