PaulAlbert31 / LabelNoiseCorrectionLinks
Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction
☆223Updated 4 years ago
Alternatives and similar repositories for LabelNoiseCorrection
Users that are interested in LabelNoiseCorrection are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆139Updated 5 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆170Updated 3 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆186Updated 4 years ago
- Meta-Learning based Noise-Tolerant Training☆125Updated 4 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆147Updated 4 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆128Updated 5 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated last year
- ☆129Updated 2 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆233Updated 3 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆288Updated 3 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 10 months ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆352Updated 6 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆84Updated 5 years ago
- PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning☆111Updated 6 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆506Updated 3 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆556Updated 4 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Pytorch implementation of Virtual Adversarial Training☆134Updated 6 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆255Updated 6 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆451Updated 2 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆137Updated 11 months ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆673Updated 3 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆368Updated 2 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…☆229Updated 5 years ago