Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1710.05468
Cited By
Generalization in Deep Learning
16 October 2017
Kenji Kawaguchi
L. Kaelbling
Yoshua Bengio
ODL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Generalization in Deep Learning"
38 / 38 papers shown
Title
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization
Youngjun Song
Youngsik Hwang
Jonghun Lee
Heechang Lee
Dong-Young Lim
AAML
79
0
0
30 Mar 2025
Information-Theoretic Generalization Bounds for Deep Neural Networks
Haiyun He
Christina Lee Yu
75
5
0
04 Apr 2024
Investigating Generalization Behaviours of Generative Flow Networks
Lazar Atanackovic
Emmanuel Bengio
AI4CE
51
3
0
07 Feb 2024
A trans-disciplinary review of deep learning research for water resources scientists
Chaopeng Shen
AI4CE
129
687
0
06 Dec 2017
Global optimality conditions for deep neural networks
Chulhee Yun
S. Sra
Ali Jadbabaie
134
118
0
08 Jul 2017
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes
Lei Wu
Zhanxing Zhu
E. Weinan
ODL
50
220
0
30 Jun 2017
Exploring Generalization in Deep Learning
Behnam Neyshabur
Srinadh Bhojanapalli
David A. McAllester
Nathan Srebro
FAtt
132
1,245
0
27 Jun 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
95
1,801
0
16 Jun 2017
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer
Itay Hubara
Daniel Soudry
ODL
142
799
0
24 May 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Gintare Karolina Dziugaite
Daniel M. Roy
77
808
0
31 Mar 2017
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh
Razvan Pascanu
Samy Bengio
Yoshua Bengio
ODL
98
766
0
15 Mar 2017
Data-Dependent Stability of Stochastic Gradient Descent
Ilja Kuzborskij
Christoph H. Lampert
MLT
91
165
0
05 Mar 2017
Deep Semi-Random Features for Nonlinear Function Approximation
Kenji Kawaguchi
Bo Xie
Vikas Verma
Le Song
108
15
0
28 Feb 2017
Fast Rates for Empirical Risk Minimization of Strict Saddle Problems
Alon Gonen
Shai Shalev-Shwartz
60
30
0
16 Jan 2017
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
428
10,281
0
16 Nov 2016
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
264
4,612
0
10 Nov 2016
Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review
T. Poggio
H. Mhaskar
Lorenzo Rosasco
Brando Miranda
Q. Liao
66
575
0
02 Nov 2016
Generalization Error of Invariant Classifiers
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
35
78
0
14 Oct 2016
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
355
2,922
0
15 Sep 2016
Robust Large Margin Deep Neural Networks
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
57
309
0
26 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
51
1,042
0
23 May 2016
Deep Learning without Poor Local Minima
Kenji Kawaguchi
ODL
149
922
0
23 May 2016
Bounded Optimal Exploration in MDP
Kenji Kawaguchi
33
15
0
05 Apr 2016
Bayesian Optimization with Exponential Convergence
Kenji Kawaguchi
L. Kaelbling
Tomás Lozano-Pérez
49
106
0
05 Apr 2016
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
281
10,149
0
16 Mar 2016
Benefits of depth in neural networks
Matus Telgarsky
290
605
0
14 Feb 2016
On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization
P. Xie
Yuntian Deng
Eric Xing
83
28
0
23 Nov 2015
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt
Benjamin Recht
Y. Singer
91
1,234
0
03 Sep 2015
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Behnam Neyshabur
Ruslan Salakhutdinov
Nathan Srebro
ODL
52
305
0
08 Jun 2015
APAC: Augmented PAttern Classification with Neural Networks
Ikuro Sato
Hiroki Nishimura
Kensuke Yokoi
36
137
0
13 May 2015
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
220
583
0
27 Feb 2015
An Introduction to Matrix Concentration Inequalities
J. Tropp
70
1,139
0
07 Jan 2015
Fractional Max-Pooling
Benjamin Graham
TPM
65
517
0
18 Dec 2014
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
225
1,191
0
30 Nov 2014
On the Computational Efficiency of Training Neural Networks
Roi Livni
Shai Shalev-Shwartz
Ohad Shamir
68
479
0
05 Oct 2014
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar
Razvan Pascanu
Kyunghyun Cho
Yoshua Bengio
72
1,249
0
08 Feb 2014
On the number of response regions of deep feed forward networks with piece-wise linear activations
Razvan Pascanu
Guido Montúfar
Yoshua Bengio
FAtt
94
257
0
20 Dec 2013
Robustness and Generalization
Huan Xu
Shie Mannor
OOD
158
459
0
13 May 2010
1