yashkant / Elastic-Weight-ConsolidationLinks
This is an implementation of Elastic Weight Consolidation algorithm introduced in Overcoming catastrophic forgetting in neural networks.
☆60Updated 7 years ago
Alternatives and similar repositories for Elastic-Weight-Consolidation
Users that are interested in Elastic-Weight-Consolidation are comparing it to the libraries listed below
Sorting:
- ☆53Updated 5 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 4 years ago
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆104Updated 6 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 2 years ago
- Implementation of the variational continual learning method☆190Updated 6 years ago
- PyTorch implementation of FIM and empirical FIM☆61Updated 6 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 3 years ago
- Continual Learning in Recurrent Neural Networks☆37Updated 3 years ago
- ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning☆49Updated 2 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆204Updated 3 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆76Updated 4 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆164Updated 3 years ago
- A repository to keep track of literature on catastrophic forgetting☆37Updated 5 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆101Updated 2 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆214Updated 6 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- Elastic weight consolidation technique for incremental learning.☆140Updated 4 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 5 years ago
- ☆72Updated 2 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆163Updated 7 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆62Updated 5 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆146Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆40Updated 4 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago