Constraint-Based Regularization of Neural Networks

Constraint-Based Regularization of Neural Networks

17 June 2020

Timothée Pouchon

Tiffany J. Vlaar

Amos Storkey

Papers citing "Constraint-Based Regularization of Neural Networks"

7 / 7 papers shown

Title
Monte Carlo on manifolds in high dimensions Kerun Xu Miranda C. Holmes-Cerfon 16 2 0 21 Aug 2023
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift Francisco Pérez-Galarce K. Pichara P. Huijse M. Catelán D. Méry 28 0 0 12 Mar 2023
A Unifying and Canonical Description of Measure-Preserving Diffusions Alessandro Barp So Takao M. Betancourt Alexis Arnaudon Mark Girolami 22 17 0 06 May 2021
The shifted ODE method for underdamped Langevin MCMC James Foster Terry Lyons Harald Oberhauser 19 16 0 10 Jan 2021
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao Yasaman Bahri Jascha Narain Sohl-Dickstein S. Schoenholz Jeffrey Pennington 233 348 0 14 Jun 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,890 0 15 Sep 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012