Continual Learning in Generative Adversarial Nets

23 May 2017 Ari Seff Alex Beatson Daniel Suo Han Liu

Developments in deep generative models have allowed for tractable learning of high-dimensional data distributions. While the employed learning procedures typically assume that training data is drawn i.i.d... (read more)

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