yhqjohn / MetaNN
MetaModule provides extensions of PyTorch Module for meta learning
☆39Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MetaNN
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆52Updated 5 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆98Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆59Updated 5 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆60Updated 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
- ☆35Updated 3 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆67Updated 3 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 5 years ago
- ☆150Updated 4 years ago
- NeurIPS'18: Masking: A New Perspective of Noisy Supervision☆54Updated 5 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆59Updated 3 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆71Updated 3 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆177Updated 6 years ago
- infinite mixture prototypes for few-shot learning☆50Updated 2 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆159Updated 3 years ago
- [ICML 2020] Continuously Indexed Domain Adaptation☆116Updated 2 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆176Updated last year
- Gradients as Features for Deep Representation Learning☆42Updated 4 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆103Updated 2 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆80Updated 5 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆137Updated 4 years ago
- Meta-SGD experiment on Omniglot classification compared with MAML☆79Updated 7 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆281Updated 2 years ago
- ☆68Updated 5 years ago
- ☆35Updated 2 years ago
- ☆71Updated last year