Haoqing-Wang / FSLSTMLinks
Few-shot Classification with LS-SVM Base Learner and Transductive Modules
☆11Updated 4 years ago
Alternatives and similar repositories for FSLSTM
Users that are interested in FSLSTM are comparing it to the libraries listed below
Sorting:
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆67Updated 2 years ago
- ATS for NeurIPS 2021☆23Updated 3 years ago
- [ECCV 2022] Contrastive Prototypical Network with Wasserstein Confidence Penalty☆11Updated 2 years ago
- MLTI for ICLR 2022☆30Updated 3 years ago
- ☆20Updated 2 years ago
- A meta-learning framework for few-shot graph learning☆18Updated 2 years ago
- Reproduce MAML in Pytorch with omniglot dataset.☆104Updated 5 years ago
- GFL for AAAI 2020☆31Updated 4 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆42Updated 11 months ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Updated 3 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆64Updated 3 years ago
- Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)☆58Updated last year
- ☆58Updated 3 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆63Updated 4 years ago
- Unsupervised Meta Learning for Image Classification (UMTRA) algorithm☆20Updated 2 years ago
- Pytorch implementation for Meta-SPL (self-paced learning).☆18Updated 4 years ago
- ☆9Updated last year
- This repository contains the code for the paper On Episodes, Prototypical Networks, and Few-shot Learning☆34Updated 3 years ago
- [NeurIPS 2023] Focus Your Attention when Few-Shot Classification☆17Updated last year
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 3 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆56Updated 4 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆44Updated last year
- Pytorch Implementation of WSDM 2022 -- Graph Few-shot Class-incremental Learning☆23Updated 3 years ago
- MAML and Reptile sine wave regression example in PyTorch☆18Updated 5 years ago
- ☆23Updated 3 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆53Updated 2 years ago
- Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".☆51Updated 4 years ago
- ☆18Updated 2 years ago
- NeurIPS2023☆8Updated last year
- MetaMix for ICML 2021☆27Updated 3 years ago