Inherent Weight Normalization in Stochastic Neural Networks

27 October 2019

Papers citing "Inherent Weight Normalization in Stochastic Neural Networks"

8 / 8 papers shown

Title
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes Mengye Ren Renjie Liao R. Urtasun Fabian H. Sinz R. Zemel 58 81 0 14 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 141 2,523 0 02 Nov 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 92 2,000 0 14 Jun 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 150 4,342 0 16 Mar 2016
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 198 4,653 0 21 Dec 2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks T. Raiko Mathias Berglund Guillaume Alain Laurent Dinh BDL 93 126 0 11 Jun 2014
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems Emre Neftci Srinjoy Das Bruno U. Pedroni Ken Kreutz-Delgado Gert Cauwenberghs BDL 64 208 0 05 Nov 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 406 7,650 0 03 Jul 2012