fmeier / online-meta-learning
☆26Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for online-meta-learning
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆39Updated 5 years ago
- The original code for the paper "Learning to Learn via Self-Critique".☆46Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 6 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆59Updated 3 years ago
- ☆53Updated 5 years ago
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 6 years ago
- ☆16Updated 6 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆59Updated 5 years ago
- Meta learning for generative models.☆16Updated 5 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 5 years ago
- Generative Model for Neural Networks☆25Updated 4 years ago
- Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"☆12Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 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
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 2 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 6 years ago
- Growing Dual-Memory Self-Organizing Networks☆25Updated 5 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆62Updated 4 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆34Updated 4 years ago
- ☆31Updated 2 years ago
- Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework☆51Updated 4 years ago
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Updated 4 years ago
- [ECCV 2020]"Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search" By Yuan Tian, Qin Wang, Zhiwu Huang, W…☆40Updated 2 years ago
- pytorch implementation for paper, towards realistic predictors☆17Updated 6 years ago