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:
- MLTI for ICLR 2022☆30Updated 3 years ago
- ATS for NeurIPS 2021☆23Updated 3 years ago
- A meta-learning framework for few-shot graph learning☆19Updated 2 years ago
- Reproduce MAML in Pytorch with omniglot dataset.☆107Updated 5 years ago
- Unsupervised Meta Learning for Image Classification (UMTRA) algorithm☆21Updated 2 years ago
- ☆21Updated 2 years ago
- GFL for AAAI 2020☆31Updated 4 years ago
- Pytorch implementation for Meta-SPL (self-paced learning).☆18Updated 5 years ago
- [ACMMM 2020] Code release for "Simultaneous Semantic Alignment Network for Heterogenous Domain Adaptation" https://arxiv.org/abs/2008.01…☆31Updated 3 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Updated 3 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆63Updated 5 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆58Updated 4 years ago
- A simple implentment of Maximum Classifier Discrepancy for Unsupervised Domain Adaptation with pytorch☆14Updated 5 years ago
- Using keras and tf build MAML☆52Updated 3 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆45Updated last year
- Pytorch Implementation of WSDM 2022 -- Graph Few-shot Class-incremental Learning☆24Updated 3 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 4 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Updated 2 years ago
- Few Shot Learning on Graphs☆33Updated 2 years ago
- ☆17Updated 3 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆62Updated 4 years ago
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆25Updated 3 years ago
- MAML and Reptile sine wave regression example in PyTorch☆18Updated 5 years ago
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆70Updated 2 years ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆39Updated last year
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Updated 11 months ago
- ☆58Updated 3 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆65Updated 3 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆250Updated 3 years ago
- Instance-Dependent Partial Label Learning(NIPS'21);Variational Label Enhancement for Instance-Dependent Partial Label Learning(TPAMI)☆26Updated 4 months ago