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On the Depth of Deep Neural Networks: A Theoretical View
v1v2 (latest)

On the Depth of Deep Neural Networks: A Theoretical View

17 June 2015
Shizhao Sun
Wei-neng Chen
Liwei Wang
Xiaoguang Liu
Tie-Yan Liu
ArXiv (abs)PDFHTML

Papers citing "On the Depth of Deep Neural Networks: A Theoretical View"

11 / 11 papers shown
Title
Certified Robust Models with Slack Control and Large Lipschitz Constants
Certified Robust Models with Slack Control and Large Lipschitz Constants
M. Losch
David Stutz
Bernt Schiele
Mario Fritz
170
4
0
12 Sep 2023
The Missing Margin: How Sample Corruption Affects Distance to the
  Boundary in ANNs
The Missing Margin: How Sample Corruption Affects Distance to the Boundary in ANNs
Marthinus W. Theunissen
Coenraad Mouton
Marelie Hattingh Davel
129
1
0
14 Feb 2023
Pairwise Margin Maximization for Deep Neural Networks
Pairwise Margin Maximization for Deep Neural NetworksInternational Conference on Machine Learning and Applications (ICMLA), 2021
Berry Weinstein
Shai Fine
Y. Hel-Or
88
0
0
09 Oct 2021
Contrastive Learning for Label-Efficient Semantic Segmentation
Contrastive Learning for Label-Efficient Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2020
Xiangyu Zhao
Raviteja Vemulapalli
Philip Mansfield
Boqing Gong
Bradley Green
Lior Shapira
Ying Nian Wu
SSLSSeg
539
197
0
13 Dec 2020
Margin-Based Regularization and Selective Sampling in Deep Neural
  Networks
Margin-Based Regularization and Selective Sampling in Deep Neural Networks
Berry Weinstein
Shai Fine
Y. Hel-Or
MQ
118
2
0
13 Sep 2020
On Symmetry and Initialization for Neural Networks
On Symmetry and Initialization for Neural NetworksLatin American Symposium on Theoretical Informatics (LATIN), 2019
Ido Nachum
Amir Yehudayoff
MLT
110
6
0
01 Jul 2019
Controlling Neural Level Sets
Controlling Neural Level SetsNeural Information Processing Systems (NeurIPS), 2019
Matan Atzmon
Niv Haim
Lior Yariv
Ofer Israelov
Haggai Maron
Y. Lipman
AI4CE
139
129
0
28 May 2019
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
294
214
0
28 Sep 2018
Large Margin Deep Networks for Classification
Large Margin Deep Networks for ClassificationNeural Information Processing Systems (NeurIPS), 2018
Gamaleldin F. Elsayed
Dilip Krishnan
H. Mobahi
Kevin Regan
Samy Bengio
MQ
216
311
0
15 Mar 2018
Fast learning rate of deep learning via a kernel perspective
Fast learning rate of deep learning via a kernel perspective
Taiji Suzuki
137
6
0
29 May 2017
Robust Large Margin Deep Neural Networks
Robust Large Margin Deep Neural Networks
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
349
323
0
26 May 2016
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