Diversity Regularized Adversarial Learning

The two key players in Generative Adversarial Networks (GANs), the discriminator and generator, are usually parameterized as deep neural networks (DNNs). On many generative tasks, GANs achieve state-of-the-art performance but are often unstable to train and sometimes miss modes. A typical failure mo...

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Bibliographische Detailangaben

Hauptverfasser:	Ayinde, Babajide O, Nishihama, Keishin, Zurada, Jacek M
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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