Gaussian Mixture Variational Autoencoder for Semi-Supervised Topic Modeling

Gaussian Mixture Variational Autoencoder for Semi-Supervised Topic Modeling

Topic models are widely explored for summarizing a corpus of documents. Recent advances in Variational AutoEncoder (VAE) have enabled the development of black-box inference methods for topic modeling in order to alleviate the drawbacks of classical statistical inference. Most existing VAE based appr...

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Bibliographic Details
Main Authors: Cangqi Zhou, Hao Ban, Jing Zhang, Qianmu Li, Yinghua Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Topic model
variational autoencoder
semi-supervised learning
Gaussian mixture model
deep generative learning
Online Access:https://ieeexplore.ieee.org/document/9112154/

Internet

https://ieeexplore.ieee.org/document/9112154/

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