Sidheekh, S.; Aimen, A.; Madan, V.; Krishnan, N. C.
(2021-11-22)
Generative adversarial networks (GANs) are among
the most popular deep learning models for learning complex
data distributions. However, training a GAN is known to be a
challenging task. This is often attributed to the ...