Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN)

1 May 2018Shabab BazrafkanHossein JavidniaPeter Corcoran

One of the most interesting challenges in Artificial Intelligence is to train conditional generators which are able to provide labeled adversarial samples drawn from a specific distribution. In this work, a new framework is presented to train a deep conditional generator by placing a classifier in parallel with the discriminator and back propagate the classification error through the generator network... (read more)

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