e-271 / awesome-few-shot-learning
A curated list of resources about few-shot and one-shot learning
☆281Updated 5 years ago
Related projects: ⓘ
- Meta Learning for Semi-Supervised Few-Shot Classification☆552Updated 5 years ago
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- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆523Updated last month
- This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…☆328Updated 6 months ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆254Updated 6 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆242Updated 5 years ago
- Matching Networks for one shot learning☆228Updated 6 years ago
- ☆367Updated 3 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,127Updated 2 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)☆264Updated 5 years ago
- Few shot learning☆156Updated 3 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆327Updated 4 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆605Updated 2 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆300Updated 4 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆413Updated 4 years ago
- Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'☆208Updated 11 months ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆206Updated 4 years ago
- Implementation of the mixup training method☆460Updated 6 years ago
- Learning What and Where to Transfer (ICML 2019)☆251Updated 3 years ago
- SSL-FEW-SHOT☆171Updated 4 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆841Updated 2 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆250Updated 6 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆468Updated 2 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆168Updated 2 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆735Updated last year
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆251Updated 6 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆305Updated 5 years ago
- ☆273Updated 5 years ago
- Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020☆574Updated last year
- Tools for generating mini-ImageNet dataset and processing batches☆421Updated 3 years ago