hyperconnect / LADELinks
This repository contains code for the paper "Disentangling Label Distribution for Long-tailed Visual Recognition", published at CVPR' 2021
☆106Updated 3 years ago
Alternatives and similar repositories for LADE
Users that are interested in LADE are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆156Updated 4 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆107Updated 5 years ago
- Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)☆95Updated 4 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆153Updated 4 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 3 years ago
- Official PyTorch implementation of MIRO (ECCV 2022)☆88Updated 3 years ago
- Official Repository for our ECCV2020 paper: Imbalanced Continual Learning with Partitioning Reservoir Sampling☆51Updated 3 years ago
- Official Implementation of SWAD (NeurIPS 2021)☆170Updated 3 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆109Updated 5 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 3 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆78Updated 3 years ago
- ☆90Updated 3 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆105Updated 2 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆75Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 4 years ago
- NLNL: Negative Learning for Noisy Labels☆104Updated 6 years ago
- Reducing Domain Gap by Reducing Style Bias (SagNets)☆103Updated 4 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆80Updated 2 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 4 years ago
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆175Updated last year
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆102Updated 2 years ago
- SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization☆49Updated 3 years ago
- Official pytorch implementation of Rainbow Memory (CVPR 2021)☆126Updated 3 years ago
- Pretrained SimCLRv2 models in Pytorch☆105Updated 5 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆129Updated 8 months ago
- ☆48Updated 2 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆94Updated 5 years ago
- This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Re…☆165Updated 3 years ago
- Official PyTorch implementation of paper: "Revisiting the Importance of Amplifying Bias for Debiasing" (AAAI 2023)☆19Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago