PaulAlbert31 / ReLaB
Official repository for Reliable Label Bootstrapping
☆19Updated 2 years ago
Alternatives and similar repositories for ReLaB:
Users that are interested in ReLaB are comparing it to the libraries listed below
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆48Updated 2 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 5 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- This is the pytorch re-implementation of the IterNorm☆41Updated 5 years ago
- ☆46Updated 2 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆42Updated 4 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆15Updated 4 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- Adjust Decision Boundary for Class Imbalanced Learning☆19Updated 4 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 3 years ago
- ☆32Updated 3 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆23Updated 2 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 4 years ago
- The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆25Updated 2 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 4 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated last year
- Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implici…☆24Updated 2 years ago
- official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020☆41Updated 4 years ago
- Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters☆30Updated 4 years ago
- Knowledge Transfer via Dense Cross-layer Mutual-distillation (ECCV'2020)☆30Updated 4 years ago
- ☆42Updated 4 years ago
- [ICCV2019] Attract or Distract: Exploit the Margin of Open Set☆35Updated 4 years ago
- Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"☆39Updated 2 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆21Updated 3 years ago