Semi-Supervised Adversarial Variational Autoencoder

Semi-Supervised Adversarial Variational Autoencoder

We present a method to improve the reconstruction and generation performance of a variational autoencoder (VAE) by injecting an adversarial learning. Instead of comparing the reconstructed with the original data to calculate the reconstruction loss, we use a consistency principle for deep features....

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Bibliographic Details
Main Author:	Ryad Zemouri
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Series:	Machine Learning and Knowledge Extraction
Subjects:	variational autoencoder adversarial learning deep feature consistent data generation
Online Access:	https://www.mdpi.com/2504-4990/2/3/20

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