DaikiTanak / manifold_mixupLinks
pytorch implementation of manifold-mixup
☆22Updated 2 years ago
Alternatives and similar repositories for manifold_mixup
Users that are interested in manifold_mixup are comparing it to the libraries listed below
Sorting:
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- ☆42Updated 4 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆33Updated 5 years ago
- ☆20Updated 6 years ago
- This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Po…☆25Updated 2 years ago
- ☆42Updated 6 years ago
- ☆58Updated 3 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated 2 years ago
- Bootstrapping loss function implementation in pytorch☆36Updated 4 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated 2 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆43Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 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 4 years ago
- Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation☆60Updated 4 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆19Updated 6 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆66Updated 4 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- ☆42Updated 5 years ago
- ☆14Updated 6 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago