tiangeluo / fsl-hierarchy
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy
☆31Updated 4 years ago
Related projects: ⓘ
- Learning to Self-Train for Semi-Supervised Few-Shot☆93Updated last year
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆60Updated 4 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 4 years ago
- Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning☆56Updated 4 years ago
- IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph☆55Updated 4 years ago
- awesome few shot / meta learning papers☆51Updated 3 years ago
- [CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.☆41Updated last year
- infinite mixture prototypes for few-shot learning☆49Updated last year
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 2 years ago
- ☆112Updated 3 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆175Updated 3 years ago
- The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".☆25Updated 4 years ago
- This repository contains the code for the paper On Episodes, Prototypical Networks, and Few-shot Learning☆30Updated 2 years ago
- ☆89Updated 2 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆94Updated 11 months ago
- Laplacian Regularized Few Shot Learning☆81Updated 2 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆84Updated 6 years ago
- pytorch implement for the paper Few-Shot Adversarial Domain Adaptation☆52Updated last year
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆165Updated 3 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆85Updated 6 months ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆96Updated 11 months ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆82Updated 5 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆103Updated 3 years ago
- MoPro: Webly Supervised Learning☆87Updated 3 years ago
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆27Updated 2 years ago
- ☆129Updated 3 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆136Updated 4 years ago
- Code release for Transferable Curriculum for Weakly-Supervised Domain Adaptation (AAAI2019)☆18Updated 4 years ago
- ☆53Updated 2 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 4 years ago