Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of
Margin Dynamics

Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics

8 October 2018

Yifei Huang

Papers citing "Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics"

10 / 10 papers shown

Title
A Surprising Linear Relationship Predicts Test Performance in Deep Networks Q. Liao Brando Miranda Andrzej Banburski Jack Hidary T. Poggio 47 32 0 25 Jul 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,437 0 16 Feb 2018
The Implicit Bias of Gradient Descent on Separable Data Daniel Soudry Elad Hoffer Mor Shpigel Nacson Suriya Gunasekar Nathan Srebro 153 916 0 27 Oct 2017
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks Behnam Neyshabur Srinadh Bhojanapalli Nathan Srebro 80 606 0 29 Jul 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 202 1,217 0 26 Jun 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 336 4,626 0 10 Nov 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 365 7,321 0 13 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
Margins, Shrinkage, and Boosting Matus Telgarsky 80 73 0 18 Mar 2013

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