Cognitive

[2016. 4] Building Machines That Learn and Think Like People

Generative

[2013. 12] Auto-Encoding Variational Bayes

[2014. 6] Generative Adversarial Networks

[2016. 7] SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Model

[2013. 6] Regularization of Neural Networks using DropConnect

[2012. 7] Improving neural networks by preventing co-adaptation of feature detectors

[2015. 7] Training Very Deep Networks

[2016. 7] Layer Normalization

[2015. 9] Pointer Networks

[2016. 3] Deep Networks with Stochastic Depth

[2016. 7] Recurrent Highway Networks

[2016. 10] Using Fast Weights to Attend to the Recent Past

[2016. 10] Professor Forcing: A New Algorithm for Training Recurrent Networks

[2017. 1] Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer