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Neural Additive Models: Interpretable Machine Learning with Neural Nets

Apr 29, 2020
Rishabh Agarwal, Nicholas Frosst, Xuezhou Zhang, Rich Caruana, Geoffrey E. Hinton


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Stacked Capsule Autoencoders

Jun 17, 2019
Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton

* 13 pages, 6 figures, 4 tables 

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Learning Sparse Networks Using Targeted Dropout

Jun 05, 2019
Aidan N. Gomez, Ivan Zhang, Kevin Swersky, Yarin Gal, Geoffrey E. Hinton


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Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures

Jul 12, 2018
Sergey Bartunov, Adam Santoro, Blake A. Richards, Geoffrey E. Hinton, Timothy Lillicrap


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Large scale distributed neural network training through online distillation

Apr 09, 2018
Rohan Anil, Gabriel Pereyra, Alexandre Passos, Robert Ormandi, George E. Dahl, Geoffrey E. Hinton


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Who Said What: Modeling Individual Labelers Improves Classification

Jan 04, 2018
Melody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton

* AAAI 2018 

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Attend, Infer, Repeat: Fast Scene Understanding with Generative Models

Aug 12, 2016
S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, David Szepesvari, Koray Kavukcuoglu, Geoffrey E. Hinton


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Layer Normalization

Jul 21, 2016
Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton


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A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

Apr 07, 2015
Quoc V. Le, Navdeep Jaitly, Geoffrey E. Hinton


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Modeling Documents with Deep Boltzmann Machines

Sep 26, 2013
Nitish Srivastava, Ruslan R Salakhutdinov, Geoffrey E. Hinton

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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Discovering Multiple Constraints that are Frequently Approximately Satisfied

Jan 10, 2013
Geoffrey E. Hinton, Yee Whye Teh

* Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001) 

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Efficient Parametric Projection Pursuit Density Estimation

Oct 19, 2012
Max Welling, Richard S. Zemel, Geoffrey E. Hinton

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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Improving neural networks by preventing co-adaptation of feature detectors

Jul 03, 2012
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan R. Salakhutdinov


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Products of Hidden Markov Models: It Takes N>1 to Tango

May 09, 2012
Graham W Taylor, Geoffrey E. Hinton

* Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009) 

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Conditional Restricted Boltzmann Machines for Structured Output Prediction

Feb 14, 2012
Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton


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