Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach

16 April 2018

Papers citing "Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach"

5 / 155 papers shown

Title
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 38 3,386 0 09 Mar 2018
PAC-Bayesian Margin Bounds for Convolutional Neural Networks Konstantinos Pitas Mike Davies P. Vandergheynst BDL 46 12 0 30 Dec 2017
Size-Independent Sample Complexity of Neural Networks Noah Golowich Alexander Rakhlin Ohad Shamir 21 543 0 18 Dec 2017
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
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 148 454 0 03 Dec 2007