KentoNishi / Augmentation-for-LNLLinks
[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
☆113Updated 3 years ago
Alternatives and similar repositories for Augmentation-for-LNL
Users that are interested in Augmentation-for-LNL are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆128Updated 3 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 'Joint Optimization Framework for Learning with Noisy Labels'☆38Updated 6 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆105Updated 4 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated last month
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆148Updated 3 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆108Updated 5 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆99Updated 2 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆124Updated 5 years ago
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆48Updated 2 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 4 years ago
- Exploring Simple Siamese Representation Learning☆60Updated 4 years ago
- MoPro: Webly Supervised Learning☆87Updated last month
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆43Updated 2 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
- Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"☆39Updated 3 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 2 years ago
- ☆46Updated 4 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆184Updated last year
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- ☆66Updated 2 years ago
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆131Updated 2 years ago
- Evaluating AlexNet features at various depths☆40Updated 4 years ago
- ☆129Updated 2 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020☆165Updated 4 years ago