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)

PDF Abstract NeurIPS 2018 PDF NeurIPS 2018 Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet