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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 36; H. 2; S. 2066 - 2079
Hauptverfasser:	Zhou, Xiaokang, Zheng, Xuzhe, Shu, Tian, Liang, Wei, Wang, Kevin I-Kai, Qi, Lianyong, Shimizu, Shohei, Jin, Qun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.02.2025
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!