baiksung / ALFALinks
Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
☆87Updated 3 years ago
Alternatives and similar repositories for ALFA
Users that are interested in ALFA are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆66Updated 3 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆49Updated 5 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆248Updated last year
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆106Updated 3 years ago
- ☆39Updated last year
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆91Updated 6 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆65Updated 6 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆161Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 4 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆33Updated 2 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆79Updated 4 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆105Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆55Updated 6 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆44Updated last year
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- MLTI for ICLR 2022☆30Updated 3 years ago
- Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆51Updated 2 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Updated 5 years ago
- PyTorch implementation of OpenAI's REPTILE Algorithm☆26Updated 7 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆171Updated 3 years ago
- ☆15Updated 5 years ago
- Official pytorch implementation of Rainbow Memory (CVPR 2021)☆126Updated 3 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 5 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 4 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"☆36Updated 5 years ago