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JDGAN: Enhancing generator on extremely limited data via joint distribution

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0 Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.12.001

Abstract: Abstract Generative Adversarial Network (GAN) is a thriving generative model and considerable efforts have been made to enhance the generation capabilities via designing a different adversarial framework of GAN (e.g., the discriminator and the generator)… read more here.

Keywords: generator; joint distribution; extremely limited; jdgan enhancing ... See more keywords