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Geoffrey E. Hinton

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Testing GLOM's ability to infer wholes from ambiguous parts

Nov 29, 2022
Laura Culp, Sara Sabour, Geoffrey E. Hinton

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Unsupervised part representation by Flow Capsules

Nov 27, 2020
Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet

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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

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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

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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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