Geoffrey E. Hinton

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Papers (11)

1. Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures cs.LG · 2018 · author #5
2. Who Said What: Modeling Individual Labelers Improves Classification cs.LG · 2017 · author #4
3. Layer Normalization stat.ML · 2016 · author #3
4. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models cs.CV · 2016 · author #7
5. A Simple Way to Initialize Recurrent Networks of Rectified Linear Units cs.NE · 2015 · author #3
6. Modeling Documents with Deep Boltzmann Machines cs.LG · 2013 · author #3
7. Discovering Multiple Constraints that are Frequently Approximately Satisfied cs.LG · 2013 · author #1
8. Efficient Parametric Projection Pursuit Density Estimation cs.LG · 2012 · author #3
9. Improving neural networks by preventing co-adaptation of feature detectors cs.NE · 2012 · author #1
10. Products of Hidden Markov Models: It Takes N>1 to Tango cs.LG · 2012 · author #2
11. Conditional Restricted Boltzmann Machines for Structured Output Prediction cs.LG · 2012 · author #3

Mentions

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Frequent Coauthors

• Nitish Srivastava 2 shared papers
• Adam Santoro 1 shared papers
• Alex Krizhevsky 1 shared papers
• Andrew M. Dai 1 shared papers
• Blake A. Richards 1 shared papers
• David Szepesvari 1 shared papers
• Graham W Taylor 1 shared papers
• Hugo Larochelle 1 shared papers
• Ilya Sutskever 1 shared papers
• Jamie Ryan Kiros 1 shared papers
• Jimmy Lei Ba 1 shared papers
• Koray Kavukcuoglu 1 shared papers
• Luke Marris 1 shared papers
• Max Welling 1 shared papers
• Melody Y. Guan 1 shared papers
• Navdeep Jaitly 1 shared papers
• Nicolas Heess 1 shared papers
• Quoc V. Le 1 shared papers
• Richard S. Zemel 1 shared papers
• Ruslan R Salakhutdinov 1 shared papers