Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification

NeurIPS 2018 Harsh ShrivastavaEugene BartBob PriceHanjun DaiBo DaiSrinivas Aluru

We propose a new approach, called cooperative neural networks (CoNN), which uses a set of cooperatively trained neural networks to capture latent representations that exploit prior given independence structure. The model is more flexible than traditional graphical models based on exponential family distributions, but incorporates more domain specific prior structure than traditional deep networks or variational autoencoders... (read more)

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