shengliu66 / ELRLinks
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
☆296Updated 2 years ago
Alternatives and similar repositories for ELR
Users that are interested in ELR are comparing it to the libraries listed below
Sorting:
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆565Updated 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
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆138Updated last year
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆189Updated 4 years ago
- ☆418Updated 3 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆236Updated 2 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆125Updated 5 years ago
- Pretrained SimCLRv2 models in Pytorch☆105Updated 4 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 3 months ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆148Updated 3 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆684Updated 3 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 5 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆172Updated 4 years ago
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆272Updated 2 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆234Updated 3 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆127Updated last year
- Unofficial PyTorch implementation of "Meta Pseudo Labels"☆389Updated last year
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 4 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆129Updated 3 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆790Updated 2 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆208Updated last year
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 2 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆185Updated last year
- ☆129Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆267Updated 4 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 2 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆108Updated 5 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 2 years ago