yinboc / DGPLinks
Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019
☆320Updated 6 years ago
Alternatives and similar repositories for DGP
Users that are interested in DGP are comparing it to the libraries listed below
Sorting:
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆244Updated 6 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)☆269Updated 6 years ago
- ☆275Updated 6 years ago
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆186Updated 6 years ago
- Pytorch Implementation of Graph Convolutional Neural Networks☆111Updated 8 years ago
- IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph☆56Updated 5 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 6 years ago
- ☆576Updated 2 years ago
- zero-shot-gcn in pytorch☆81Updated 6 years ago
- Zero-Shot Learning with GCN (CVPR 2018)☆922Updated 6 years ago
- Few shot learning☆155Updated 4 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 5 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆250Updated 7 years ago
- Matching Networks for one shot learning☆233Updated 7 years ago
- Learning What and Where to Transfer (ICML 2019)☆248Updated 4 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 7 years ago
- Generative Dual Adversarial Network for Generalized Zero-shot Learning☆54Updated 5 years ago
- Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆61Updated 7 years ago
- Pytorch Implementation for Graph Convolutional Neural Networks☆325Updated 7 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆177Updated 4 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆88Updated 7 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆258Updated 7 years ago
- This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).☆47Updated 6 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 7 years ago
- Attentive Region Embedding Network for Zero-shot Learning (CVPR 2019)☆58Updated 6 years ago
- ☆45Updated 6 years ago
- A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)☆55Updated 3 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 3 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated last year
- This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…☆343Updated last year