hysts / pytorch_mixup
A PyTorch implementation of Mixup
☆14Updated 6 years ago
Related projects: ⓘ
- ☆12Updated 3 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Generative Adversarial Minority Oversampling☆31Updated 4 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆36Updated 2 years ago
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆24Updated 3 months ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 3 years ago
- ☆64Updated this week
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 3 years ago
- ☆24Updated 3 years ago
- Experiments on meta-learning algorithms to solve few-shot domain adaptation☆10Updated 3 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- ☆34Updated 3 years ago
- Code for Class Anchor Clustering loss for training a distance-based open set classifier☆66Updated last year
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Updated 3 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆26Updated last year
- Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"☆27Updated 3 years ago
- ☆23Updated 2 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated last year
- ☆28Updated 3 years ago
- Universal Source-Free Domain Adaptation (CVPR 2020)☆17Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆69Updated 4 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆70Updated 2 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆38Updated 2 years ago
- GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning☆33Updated 2 years ago
- The original code for the data providers and the datasets of the paper "Defining Benchmarks for Continual Few-Shot Learning".☆16Updated 4 years ago
- Official code for "Towards Recognizing Unseen Categories in Unseen Domains"☆62Updated last year
- using monte carlo dropout to have uncertainty estimation of predictions☆14Updated 4 years ago
- ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionPytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…☆74Updated 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 2 years ago
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago