alinlab / M2m
Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)
☆95Updated 3 years ago
Alternatives and similar repositories for M2m:
Users that are interested in M2m are comparing it to the libraries listed below
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 4 years ago
- This repository contains code for the paper "Disentangling Label Distribution for Long-tailed Visual Recognition", published at CVPR' 202…☆97Updated 2 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆76Updated 2 years ago
- NLNL: Negative Learning for Noisy Labels☆104Updated 5 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆107Updated 4 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆146Updated 3 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆96Updated last year
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 2 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆139Updated 5 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆126Updated 5 years ago
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆103Updated 3 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆83Updated 5 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated last year
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆38Updated 6 years ago
- Adjust Decision Boundary for Class Imbalanced Learning☆19Updated 4 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains☆99Updated 3 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 3 years ago
- Meta-Learning based Noise-Tolerant Training☆123Updated 4 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆34Updated 3 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆77Updated last year
- MoEx (Moment Exchange)☆142Updated 3 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆170Updated 3 years ago
- This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020☆161Updated 3 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆104Updated 3 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆98Updated 6 months ago