elastic-weight-consolidation

There are 2 repositories under elastic-weight-consolidation topic.

GMvandeVen / continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
deep-learning artificial-neural-networks continual-learning lifelong-learning incremental-learning replay distillation generative-models variational-autoencoder elastic-weight-consolidation replay-through-feedback icarl gradient-episodic-memory task-incremental-learning class-incremental-learning domain-incremental-learning
Language:Jupyter Notebook 1472
ContinualAI / continual-learning-baselines
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
continual-learning lifelong-learning assessment experiments literature reproduction synaptic-intelligence elastic-weight-consolidation ewc gem agem lwf icarl gdumb baselines
Language:Python 240
GMvandeVen / brain-inspired-replay
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
continual-learning lifelong-learning incremental-learning generative-replay brain-inspired deep-learning artificial-neural-networks split-mnist permuted-mnist split-cifar100 internal-replay replay-through-feedback replay synaptic-intelligence elastic-weight-consolidation variational-autoencoder distillation
Language:Python 217
Mattdl / CLsurvey
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.
continual-learning tpami defy-forgetting classification-tasks deep-learning neural-networks framework hyperparameter-tuning inaturalist tinyimagenet icarl synaptic-intelligence gradient-episodic-memory packnet hat memory-aware-synapses elastic-weight-consolidation incremental-learning incremental-moment-matching
Language:Python 189
shivamsaboo17 / Overcoming-Catastrophic-forgetting-in-Neural-Networks
Elastic weight consolidation technique for incremental learning.
deepmind elastic-weight-consolidation incremental-learning neural-network
Language:Jupyter Notebook 113
GMvandeVen / class-incremental-learning
PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
continual-learning class-incremental-learning generative-classifier generative-classification variational-autoencoder elastic-weight-consolidation synaptic-intelligence cwr cwr-plus ar1 slda brain-inspired-replay generative-replay labels-trick
Language:Python 68
mabirck / CatastrophicForgetting-EWC
#WORK IN PROGRESS PyTorch Implementation of Supervised and Deep Q-Learning EWC(Elastic Weight Consolidation), introduced in "Overcoming Catastrophic Forgetting in Neural Networks"
neural-network dqn-ewc elastic-weight-consolidation overcoming-catastrophic-forgetting dqn reinforcement-learning continual-learning mnist deep-learning deep-neural-networks pytorch pytorch-tutorial
Language:Python 24
florianwiech / incremental-machine-learning
comparative evaluation of incremental machine learning methods
continual-learning continuous-learning incremental-machine-learning overcoming-catastrophic-forgetting elastic-weight-consolidation ewc neural-network deep-neural-network python3 numpy tensorflow fisher-information-matrix colloquium neural-networks tensorflow-framework
Language:TeX 7
TimoFlesch / elastic-weight-consolidation
Tensorflow 1.x implementation of EWC, evaluated on permuted MNIST
ewc elastic-weight-consolidation continual-learning permuted-mnist
Language:Python 7
TheUnsolvedDev / Sentiment-Analysis-With-Multi-Domain-Adaptation
Multi domain adaption of quick sentiment analysis on mutliple catagories of task like classification of the nature of the reviews regrading various objects found in Amazon website
classification-model elastic-weight-consolidation embedding-vectors sentiment-analysis tensorflow-data-pipeline tensorflow2
Language:Python 3
hmcalister / Tensorflow-Intepretability-Project
An investigation into sequential learning of tasks using feed-forward networks built with Tensorflow
catastrophic-forgetting deep-learning elastic-weight-consolidation interpretability interpretable-machine-learning sequential-learning tensorflow visualization
Language:Jupyter Notebook 1
sabaaslam6038 / CEL
CEL Continual Learning
artificial-neural-networks continual-learning disease-prediction domain-incremental-learning elastic-weight-consolidation fisher-information-matrix influenza-data lstm-neural-networks measles mpox static-learning disease-outbreak-prediction
Language:Python 1
zxllxz2 / continual_learning
This is the temporary version of the MINT Lab continual-learning website.
continual-learning elastic-weight-consolidation machine-learning
1
antodima / master-thesis
Federated Echo State Networks for Stress Prediction in the Automotive Use Case. Master Thesis in Artificial Intelligence @ University of Pisa
echo-state-networks elastic-weight-consolidation federated-learning
Language:PostScript 0
hmcalister / Neural-Network-Weight-Importance-Measures
An investigation into weight importance measures in neural networks, relating to sequential learning and interpretability.
artificial-intelligence elastic-weight-consolidation interpretability neural-network sequential-learning
Language:Jupyter Notebook 0