edgarschnfld / CADA-VAE-PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
☆289Updated last year
Alternatives and similar repositories for CADA-VAE-PyTorch
Users that are interested in CADA-VAE-PyTorch are comparing it to the libraries listed below
Sorting:
- Learning deep representations by mutual information estimation and maximization☆324Updated 6 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 3 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Updated 5 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆316Updated 5 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 5 years ago
- [ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOT…☆130Updated 3 years ago
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆142Updated 5 years ago
- Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol☆64Updated 4 years ago
- Domain agnostic learning with disentangled representations☆147Updated 5 years ago
- Few shot learning☆155Updated 3 years ago
- ☆370Updated 4 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆210Updated 2 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆249Updated 7 years ago
- Code release for Universal Domain Adaptation(CVPR 2019)☆276Updated 2 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆424Updated 4 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆160Updated 4 years ago
- Learning to Self-Train for Semi-Supervised Few-Shot☆94Updated 2 years ago
- pytorch implementation for Contrastive Adaptation Network☆336Updated 4 years ago
- ☆132Updated 4 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆198Updated last year
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆341Updated 5 years ago
- The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, htt…☆144Updated 6 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆228Updated 4 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 4 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆242Updated 6 years ago
- SSL-FEW-SHOT☆172Updated 5 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆163Updated 4 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆213Updated 4 years ago
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆146Updated 2 years ago
- Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)☆404Updated 3 years ago