Information Theoretic Learning-Enhanced Dual-Generative Adversarial Networks With Causal Representation for Robust OOD Generalization

Recently, machine/deep learning techniques are achieving remarkable success in a variety of intelligent control and management systems, promising to change the future of artificial intelligence (AI) scenarios. However, they still suffer from some intractable difficulty or limitations for model train...

Full description

Bibliographic Details

Published in:	IEEE transaction on neural networks and learning systems Vol. 36; no. 2; pp. 2066 - 2079
Main Authors:	Zhou, Xiaokang, Zheng, Xuzhe, Shu, Tian, Liang, Wei, Wang, Kevin I-Kai, Qi, Lianyong, Shimizu, Shohei, Jin, Qun
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.02.2025
Subjects:	Autoencoder (AE) causal representation learning (CRL) Data models deep learning Feature extraction generative adversarial network (GAN) information theoretic learning (ITL) Object oriented modeling out-of-distribution (OOD) Predictive models Representation learning Task analysis Training
ISSN:	2162-237X, 2162-2388, 2162-2388
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!