mattochal / imbalanced_fsl_public
PyTorch implementation for "Few-Shot Learning with Class Imbalance"
☆37Updated 3 years ago
Alternatives and similar repositories for imbalanced_fsl_public:
Users that are interested in imbalanced_fsl_public are comparing it to the libraries listed below
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 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
- ☆17Updated 2 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆119Updated last year
- Laplacian Regularized Few Shot Learning☆82Updated 2 years ago
- Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'☆39Updated 2 years ago
- The original code for the paper "Benchmarks for Continual Few-Shot Learning".☆34Updated 4 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆50Updated 2 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆30Updated 4 years ago
- Class Normalization for Continual Zero-Shot Learning☆34Updated 4 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆138Updated 4 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆41Updated 8 months ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"☆30Updated 3 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 4 years ago
- ☆58Updated 3 years ago
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆43Updated 3 years ago
- ☆26Updated 3 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 3 years ago
- [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"☆23Updated last year
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆52Updated 3 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 3 years ago
- ☆29Updated 3 years ago
- ☆46Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Pe…☆75Updated 2 years ago