huaxiuyao / ARML
ARML for ICLR 2020
☆42Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for ARML
- HSML for ICML 2019☆51Updated 5 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆98Updated 3 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆61Updated 4 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆59Updated 3 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 4 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆47Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- infinite mixture prototypes for few-shot learning☆50Updated 2 years ago
- ☆31Updated 2 years ago
- HSML Dynamic version for ICML 2019☆12Updated 5 years ago
- Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning☆56Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆39Updated 5 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆59Updated 5 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago
- ☆150Updated 4 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 3 years ago
- GFL for AAAI 2020☆31Updated 3 years ago
- Few Shot Learning on Graphs☆33Updated last year
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 5 years ago
- Learning To Stop While Learning To Predict☆33Updated 2 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆52Updated 5 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
- pytorch implementation of Optimization as a Model for Few-shot Learning☆176Updated last year
- IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph☆55Updated 5 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 5 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆20Updated last year
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 6 years ago
- ☆35Updated 3 years ago
- ATS for NeurIPS 2021☆21Updated 3 years ago