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☆561Updated 4 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
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆128Updated 5 years ago
- ☆416Updated 3 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆125Updated 5 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
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆272Updated 2 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆148Updated 3 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 3 months ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆684Updated 3 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆171Updated 4 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
- Variational Adversarial Active Learning (ICCV 2019)☆231Updated 2 years ago
- Pretrained SimCLRv2 models in Pytorch☆105Updated 4 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆208Updated last year
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆219Updated 5 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆139Updated 6 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- ☆129Updated 2 years ago
- This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Re…☆162Updated 2 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆185Updated last year
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆790Updated 2 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- An implementation of the BADGE batch active learning algorithm.☆208Updated last year