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....
| Published in: | Machine Learning and Knowledge Extraction |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-4990/2/3/20 |