HyperGAN: A Generative Model for Diverse, Performant Neural Networks

30 Jan 2019 Neale Ratzlaff Li Fuxin

Standard neural networks are often overconfident when presented with data outside the training distribution. We introduce HyperGAN, a new generative model for learning a distribution of neural network parameters... (read more)

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