instance-dependent-label-noise
Label correction model
Tackles label noise in machine learning by developing a probabilistic model to correct instance-dependent errors
9 stars
1 watching
1 forks
Language: Python
last commit: about 5 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 chenpf1025/idn | Provides tools and data for studying instance-dependent label noise in deep neural networks, with a focus on combating noisy labels | 35 |
 pxiangwu/topofilter | Develops and evaluates machine learning algorithms to mitigate the effects of noisy labels in supervised learning. | 30 |
 weijiaheng/advances-in-label-noise-learning | A curated collection of papers and resources on learning with noisy labels in machine learning | 696 |
| chenpf1025/noisy_label_understanding_utilizing | An investigation into deep learning models trained with noisy labels and methods to improve their accuracy. | 90 |
 hongxin001/odnl | An implementation of a method to improve model robustness against inherent label noise in machine learning models | 19 |
 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 |
 delchiaro/training-cnn-noisy-labels-keras | An implementation of a deep learning training method for handling noisy labels in convolutional neural networks using the VGG-16 network architecture. | 6 |
 ucsc-real/cores | An implementation of a method to learn from noisy labels in machine learning models with instance-dependent noise | 36 |
 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 |
| ucsc-real/cal | An implementation of a method to learn with instance-dependent label noise in deep learning models using PyTorch | 47 |
 hjimce/o2u-net | An approach to detect noise in labels used with deep neural networks during training | 77 |
 xiaoboxia/cdr | An implementation of a PyTorch-based deep learning method to improve robustness against noisy labels in image classification tasks | 75 |
 pokaxpoka/rognoisylabel | A Python package for robust inference via generative classifiers for handling noisy labels in machine learning. | 33 |
 cysu/noisy_label | A repository providing code and scripts for training image classification models on noisy labeled data | 116 |
| xiaoboxia/classification-with-noisy-labels-by-importance-reweighting | An implementation of a method to improve classification accuracy on noisy labels by reweighting their importance | 39 |