PaulAlbert31 / ReLaBLinks
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
Sorting:
- ☆46Updated 2 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 4 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 5 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated 2 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆48Updated 2 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 3 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
- ☆18Updated 6 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- [ICCV2019] Attract or Distract: Exploit the Margin of Open Set☆35Updated 4 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆23Updated 3 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆43Updated 4 years ago
- Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implici…☆24Updated 2 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆15Updated 4 years ago
- ☆13Updated 4 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- ☆20Updated 6 years ago
- ☆42Updated 4 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 4 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago