Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.2K citations

Human-level control through deep reinforcement learning

Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · Nature · 2015 · 28.8K citations

Artificial Intelligence, Engineering, Deep Reinforcement Learning +3

A Fast Learning Algorithm for Deep Belief Nets

Geoffrey E. Hinton, Simon Osindero, Yee‐Whye Teh · Neural Computation · 2006 · 16.2K citations

Advances in Neural Information Processing Systems 28

Peter Flach, Meelis Kull · 2015 · 14.6K citations

Intelligent Information Processing, Computational Neuroscience, Computer Science +2

Distilling the Knowledge in a Neural Network

Geoffrey E. Hinton, Oriol Vinyals · arXiv (Cornell University) · 2015 · 13.9K citations · Full text

Artificial Intelligence, Engineering, Machine Learning +19