Open AccessUsing Invertible Plugins in Autoencoders for Fast and Customizable Post-training Optimization
Author(s) -
Domonkos Pogány,
Péter Sárközy
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.3311/minisy2022-017
Subject(s) - autoencoder , computer science , plug in , artificial intelligence , generative model , representation (politics) , function (biology) , machine learning , generative grammar , artificial neural network , theoretical computer science , programming language , politics , law , political science , biology , evolutionary biology
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