A Capacity Scaling Law for Artificial Neural Networks

v1v2v3 (latest)

A Capacity Scaling Law for Artificial Neural Networks

20 August 2017

Gerald Friedland

ArXiv (abs)PDF HTML

Papers citing "A Capacity Scaling Law for Artificial Neural Networks"

7 / 7 papers shown

Title
Generalizing, Decoding, and Optimizing Support Vector Machine Classification M. M. Krell 53 8 0 15 Jan 2018
Deepest Neural Networks R. Rojas PINN BDL 33 4 0 09 Jul 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 128 1,825 0 16 Jun 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,561 0 02 Dec 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 348 4,635 0 10 Nov 2016
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 214 1,592 0 09 Mar 2015
Free energy computations by minimization of Kullback-Leibler divergence: an efficient adaptive biasing potential method for sparse representations Ilias Bilionis P. Koutsourelakis 101 45 0 10 Nov 2010

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.