Advances-in-Label-Noise-Learning
Noisy label learning
A curated collection of papers and resources on learning with noisy labels in machine learning
A curated (most recent) list of resources for Learning with Noisy Labels
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conferencedeep-learningdeep-neural-networksinternational-conferencelabel-noiselearning-with-label-noiselearning-with-noisy-labelsnoisy-datanoisy-label-learningnoisy-labelspaperrobust-learningrobust-machine-learningrobustnessunreliable-labelsweakly-supervised-learning
subeeshvasu/awesome-learning-with-label-noiseRelated projects:
| Repository | Description | Stars |
|---|---|---|
 chenpf1025/noisy_label_understanding_utilizing | An investigation into deep learning models trained with noisy labels and methods to improve their accuracy. | 90 |
 gorkemalgan/deep_learning_with_noisy_labels_literature | A collection of papers and repos on deep learning with noisy labels. | 235 |
| chenpf1025/idn | Provides tools and data for studying instance-dependent label noise in deep neural networks, with a focus on combating noisy labels | 35 |
 kthyeon/fine_official | Implementation of a method to improve machine learning models trained with noisy labels by selecting and collaborating with high-quality samples | 39 |
 dr-darryl-wright/noisy-labels-with-bootstrapping | An implementation of training deep neural networks on noisy labels with bootstrapping using Keras | 22 |
 ryo-ito/noisy-labels-neural-network | An implementation of a neural network training method using noisy labels | 5 |
 pxiangwu/topofilter | Develops and evaluates machine learning algorithms to mitigate the effects of noisy labels in supervised learning. | 30 |
 udibr/noisy_labels | This project explores how to adapt neural networks to noisy labels by introducing a mechanism that can learn to correct the errors. | 118 |
 vdenberg/noisy-label-neural-network | An implementation of a neural network algorithm designed to improve performance on noisy labeled data | 3 |
 uds-lsv/multi-tasking_learning_with_unreliable_labels | An open source software project that extends an existing algorithm to handle noisy labels in machine learning for low-resource data generation. | 8 |
 cysu/noisy_label | A repository providing code and scripts for training image classification models on noisy labeled data | 116 |
 xiaoboxia/t-revision | A PyTorch implementation of a method for learning with noisy labels in deep neural networks | 97 |
 qizhouwang/instance-dependent-label-noise | Tackles label noise in machine learning by developing a probabilistic model to correct instance-dependent errors | 9 |
| xiaoboxia/cdr | An implementation of a PyTorch-based deep learning method to improve robustness against noisy labels in image classification tasks | 75 |
 hongxin001/odnl | An implementation of a method to improve model robustness against inherent label noise in machine learning models | 19 |