Current status, application, and challenges of the interpretability of generative adversarial network models

The generative adversarial network (GAN) is one of the most promising methods in the field of unsupervised learning. Model developers, users, and other interested people are highly concerned about the GAN mechanism where the generative model and the discriminative model learn from each other in a ga...

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Veröffentlicht in:	Computational intelligence 2023-04, Vol.39 (2), p.283-314
Hauptverfasser:	Wang, Sulin, Zhao, Chengqiang, Huang, Lingling, Li, Yuanwei, Li, Ruochen
Format:	Artikel
Sprache:	eng
Schlagworte:	causal interpretation Feature extraction GAN Generative adversarial networks interpretable networks Machine learning network interpretability Unsupervised learning
Online-Zugang:	Volltext
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