Yingjun-Du / MetaVRF
This repository contains source code of the ICML 2020 paper:(Learning to Learn Kernels with Variational Random Features)
☆8Updated 4 years ago
Alternatives and similar repositories for MetaVRF:
Users that are interested in MetaVRF are comparing it to the libraries listed below
- [ICML 2021] Kernel Continual Learning☆7Updated 3 years ago
- ☆14Updated 3 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆14Updated 4 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆30Updated 2 years ago
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Updated 4 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework☆52Updated 5 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆21Updated 3 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 3 years ago
- Code for paper "Adversarial Support Alignment"☆22Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 5 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆41Updated 2 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆48Updated 4 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆26Updated last year
- ☆26Updated 6 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆62Updated 5 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆60Updated 5 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- ☆53Updated 5 years ago
- ☆29Updated 3 years ago
- ☆36Updated 4 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆76Updated 4 years ago
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Updated 4 years ago
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆26Updated 3 years ago
- ☆15Updated 2 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago