Topic: elastic-weight-consolidation Goto Github
Some thing interesting about elastic-weight-consolidation
Some thing interesting about elastic-weight-consolidation
elastic-weight-consolidation,Federated Echo State Networks for Stress Prediction in the Automotive Use Case. Master Thesis in Artificial Intelligence @ University of Pisa
User: antodima
elastic-weight-consolidation,Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
Organization: continualai
Home Page: https://avalanche.continualai.org/
elastic-weight-consolidation,comparative evaluation of incremental machine learning methods
User: florianwiech
elastic-weight-consolidation,A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
User: gmvandeven
elastic-weight-consolidation,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).
User: gmvandeven
elastic-weight-consolidation,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.
User: gmvandeven
elastic-weight-consolidation,An investigation into weight importance measures in neural networks, relating to sequential learning and interpretability.
User: hmcalister
elastic-weight-consolidation,An investigation into sequential learning of tasks using feed-forward networks built with Tensorflow
User: hmcalister
elastic-weight-consolidation,#WORK IN PROGRESS PyTorch Implementation of Supervised and Deep Q-Learning EWC(Elastic Weight Consolidation), introduced in "Overcoming Catastrophic Forgetting in Neural Networks"
User: mabirck
elastic-weight-consolidation,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.
User: mattdl
Home Page: https://ieeexplore.ieee.org/abstract/document/9349197
elastic-weight-consolidation,CEL Continual Learning
User: sabaaslam6038
elastic-weight-consolidation,Elastic weight consolidation technique for incremental learning.
User: shivamsaboo17
elastic-weight-consolidation,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
User: theunsolveddev
elastic-weight-consolidation,Tensorflow 1.x implementation of EWC, evaluated on permuted MNIST
User: timoflesch
elastic-weight-consolidation,This is the temporary version of the MINT Lab continual-learning website.
User: zxllxz2
Home Page: https://zxllxz2.github.io/continual_learning/
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