stanislavfort / gaussian-prototypical-networks
Gaussian prototypical network architecture for few-shot learning
☆38Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for gaussian-prototypical-networks
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆256Updated 7 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆251Updated 6 years ago
- Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆132Updated 6 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆243Updated 5 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Updated 5 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆114Updated 4 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆106Updated 2 years ago
- Deep Transfer Learning Papers☆78Updated 2 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- Learning to Self-Train for Semi-Supervised Few-Shot☆93Updated last year
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆181Updated 5 years ago
- ☆102Updated 4 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆86Updated 6 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 2 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆82Updated 4 years ago
- Matching Networks for one shot learning☆230Updated 7 years ago
- IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph☆55Updated 5 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 4 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆118Updated 4 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆175Updated 3 years ago
- Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆60Updated 6 years ago
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆146Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆30Updated 6 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆117Updated last year
- Laplacian Regularized Few Shot Learning☆81Updated 2 years ago
- This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).☆46Updated 5 years ago
- This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…☆329Updated 8 months ago
- ☆46Updated 5 years ago
- Few shot learning☆155Updated 3 years ago