papers
Publications (13)
stat.ML2015
Distilling the Knowledge in a Neural Network
Geoffrey Hinton, Oriol Vinyals, Jeff Dean
cs.LG2019
Similarity of Neural Network Representations Revisited
Simon Kornblith, Mohammad Norouzi, Honglak Lee +1
cs.NE2013
Speech Recognition with Deep Recurrent Neural Networks
Alex Graves, Abdel-rahman Mohamed, Geoffrey Hinton
stat.ML2019
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
Nicholas Frosst, Nicolas Papernot, Geoffrey Hinton
cs.LG2018
DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules
Nicholas Frosst, Sara Sabour, Geoffrey Hinton
cs.LG2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz +4
cs.CV2019
Cerberus: A Multi-headed Derenderer
Boyang Deng, Simon Kornblith, Geoffrey Hinton
cs.NE2017
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra, George Tucker, Jan Chorowski +2
cs.CL2015
Grammar as a Foreign Language
Oriol Vinyals, Lukasz Kaiser, Terry Koo +3
cs.CV2012
Deep Lambertian Networks
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey Hinton
cs.LG2012
Deep Mixtures of Factor Analysers
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey Hinton
cs.LG2017
Distilling a Neural Network Into a Soft Decision Tree
Nicholas Frosst, Geoffrey Hinton
stat.ML2016
Using Fast Weights to Attend to the Recent Past
Jimmy Ba, Geoffrey Hinton, Volodymyr Mnih +2