Improving latent variable descriptiveness by modelling rather than ad-hoc factors

DOI10.1007/S10994-019-05830-1zbMath1494.68225arXiv1806.04480OpenAlexW2933858663MaRDI QIDQ2320589

Roberto Fierimonte, Alex Mansbridge, Ilya Feige, David Barber

Publication date: 23 August 2019

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.04480

zbMATH Keywords

natural language processingvariational inferencevariational autoencodersgenerative modellinglatent variable modelling

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Natural language processing (68T50)

Uses Software

• darch
• TopicRNN
• PixelVAE

Cites Work

• Reducing the Dimensionality of Data with Neural Networks

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