eVAE: Evolutionary Variational Autoencoder

Variational autoencoders (VAEs) are challenged by the imbalance between representation inference and task fitting caused by surrogate loss. To address this issue, existing methods adjust their balance by directly tuning their coefficients. However, these methods suffer from a tradeoff uncertainty, i...

Full description

Bibliographic Details

Published in:	IEEE transaction on neural networks and learning systems Vol. 36; no. 2; pp. 3288 - 3299
Main Authors:	Wu, Zhangkai, Cao, Longbing, Qi, Lei
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.02.2025
Subjects:	Convergence Deep learning Evolutionary variational autoencoder (eVAE) Fitting Probabilistic logic Task analysis Training Tuning variational autoencoder (VAE) variational genetic algorithm (VGA)
ISSN:	2162-237X, 2162-2388, 2162-2388
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!