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Generalization Comparison of Deep Neural Networks via Output Sensitivity

Generalization Comparison of Deep Neural Networks via Output Sensitivity

30 July 2020
Mahsa Forouzesh
Farnood Salehi
Patrick Thiran
ArXivPDFHTML

Papers citing "Generalization Comparison of Deep Neural Networks via Output Sensitivity"

14 / 14 papers shown
Title
Fantastic Generalization Measures and Where to Find Them
Fantastic Generalization Measures and Where to Find Them
Yiding Jiang
Behnam Neyshabur
H. Mobahi
Dilip Krishnan
Samy Bengio
AI4CE
134
607
0
04 Dec 2019
The intriguing role of module criticality in the generalization of deep
  networks
The intriguing role of module criticality in the generalization of deep networks
Niladri S. Chatterji
Behnam Neyshabur
Hanie Sedghi
62
52
0
02 Dec 2019
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
Brady Neal
Sarthak Mittal
A. Baratin
Vinayak Tantia
Matthew Scicluna
Simon Lacoste-Julien
Ioannis Mitliagkas
80
167
0
19 Oct 2018
Predicting the Generalization Gap in Deep Networks with Margin
  Distributions
Predicting the Generalization Gap in Deep Networks with Margin Distributions
Yiding Jiang
Dilip Krishnan
H. Mobahi
Samy Bengio
UQCV
90
199
0
28 Sep 2018
A high-bias, low-variance introduction to Machine Learning for
  physicists
A high-bias, low-variance introduction to Machine Learning for physicists
Pankaj Mehta
Marin Bukov
Ching-Hao Wang
A. G. Day
C. Richardson
Charles K. Fisher
D. Schwab
AI4CE
96
875
0
23 Mar 2018
Stronger generalization bounds for deep nets via a compression approach
Stronger generalization bounds for deep nets via a compression approach
Sanjeev Arora
Rong Ge
Behnam Neyshabur
Yi Zhang
MLT
AI4CE
86
642
0
14 Feb 2018
Generalization in Deep Learning
Generalization in Deep Learning
Kenji Kawaguchi
L. Kaelbling
Yoshua Bengio
ODL
88
460
0
16 Oct 2017
Spectrally-normalized margin bounds for neural networks
Spectrally-normalized margin bounds for neural networks
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
ODL
202
1,220
0
26 Jun 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural
  Networks with Many More Parameters than Training Data
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Gintare Karolina Dziugaite
Daniel M. Roy
106
815
0
31 Mar 2017
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
636
1,516
0
30 Nov 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
339
4,629
0
10 Nov 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
323
18,625
0
06 Feb 2015
On the Number of Linear Regions of Deep Neural Networks
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar
Razvan Pascanu
Kyunghyun Cho
Yoshua Bengio
88
1,254
0
08 Feb 2014
Do Deep Nets Really Need to be Deep?
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba
R. Caruana
162
2,117
0
21 Dec 2013
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