Fictitious GAN: Training GANs with Historical Models

Hao Ge; Xia Yin; Xu Chen; Randall Berry; Ying Wu

doi:10.1007/978-3-030-01246-5_8

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Fictitious GAN: Training GANs with Historical Models

Hao Ge Xia Yin Xu Chen Randall Berry Ying Wu

Year: 2018 Lecture notes in computer science Pages: 122-137 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-01246-5_8

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Keywords:

Discriminator Computer science Leverage (statistics) Generator (circuit theory) Generative grammar Convergence (economics) Artificial neural network Sequence (biology) Artificial intelligence Process (computing) Algorithm Machine learning Telecommunications

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1.67

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0.92

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Topics

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Model Reduction and Neural Networks

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fictitious GAN: Training GANs with Historical Models

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Citation History

Topics

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