Understanding deep learning requires rethinking generalization

Understanding deep learning requires rethinking generalization

10 November 2016

Benjamin Recht

Papers citing "Understanding deep learning requires rethinking generalization"

10 / 1,110 papers shown

Title
Mixing Complexity and its Applications to Neural Networks Michal Moshkovitz Naftali Tishby 32 11 0 02 Mar 2017
On the Origin of Deep Learning Haohan Wang Bhiksha Raj MedIm 3DV VLM 50 223 0 24 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 109 1,505 0 25 Jan 2017
Local minima in training of neural networks G. Swirszcz Wojciech M. Czarnecki Razvan Pascanu ODL 37 73 0 19 Nov 2016
Understanding intermediate layers using linear classifier probes Guillaume Alain Yoshua Bengio FAtt 55 901 0 05 Oct 2016
Quantifying the probable approximation error of probabilistic inference programs Marco F. Cusumano-Towner Vikash K. Mansinghka 33 7 0 31 May 2016
Robust Large Margin Deep Neural Networks Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 28 307 0 26 May 2016
Benefits of depth in neural networks Matus Telgarsky 179 604 0 14 Feb 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 127 578 0 27 Feb 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014