csyanbin / TPNLinks
Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
☆244Updated 6 years ago
Alternatives and similar repositories for TPN
Users that are interested in TPN are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆250Updated 7 years ago
- Few shot learning☆155Updated 4 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
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆177Updated 4 years ago
- IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph☆56Updated 5 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 5 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 6 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Updated 6 years ago
- Learning What and Where to Transfer (ICML 2019)☆248Updated 4 years ago
- Matching Networks for one shot learning☆233Updated 7 years ago
- Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019☆320Updated 6 years ago
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆186Updated 6 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
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆88Updated 7 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 3 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆258Updated 7 years ago
- Meta-Learning based Noise-Tolerant Training☆126Updated 5 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated last year
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 7 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆116Updated 5 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆199Updated 2 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Updated 5 years ago
- Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery☆156Updated 6 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆179Updated 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
- This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).☆47Updated 6 years ago
- Learning to Self-Train for Semi-Supervised Few-Shot☆94Updated 2 years ago
- Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆61Updated 7 years ago
- The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.☆56Updated 4 years ago
- TensorFlow Implementation of Deep Mutual Learning☆322Updated 7 years ago