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Benefits of depth in neural networks

Benefits of depth in neural networks

14 February 2016
Matus Telgarsky
ArXivPDFHTML

Papers citing "Benefits of depth in neural networks"

15 / 15 papers shown
Title
On Space Folds of ReLU Neural Networks
On Space Folds of ReLU Neural Networks
Michal Lewandowski
Hamid Eghbalzadeh
Bernhard Heinzl
Raphael Pisoni
Bernhard A.Moser
MLT
64
1
0
17 Feb 2025
Understanding the Effect of GCN Convolutions in Regression Tasks
Understanding the Effect of GCN Convolutions in Regression Tasks
Juntong Chen
Johannes Schmidt-Hieber
Claire Donnat
Olga Klopp
GNN
19
0
0
26 Oct 2024
Neural Networks Trained by Weight Permutation are Universal Approximators
Neural Networks Trained by Weight Permutation are Universal Approximators
Yongqiang Cai
Gaohang Chen
Zhonghua Qiao
47
1
0
01 Jul 2024
Spectral complexity of deep neural networks
Spectral complexity of deep neural networks
Simmaco Di Lillo
Domenico Marinucci
Michele Salvi
S. Vigogna
BDL
46
1
0
15 May 2024
Nonlinear functional regression by functional deep neural network with kernel embedding
Nonlinear functional regression by functional deep neural network with kernel embedding
Zhongjie Shi
Jun Fan
Linhao Song
Ding-Xuan Zhou
Johan A. K. Suykens
39
4
0
05 Jan 2024
Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks
Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks
Eshaan Nichani
Alexandru Damian
Jason D. Lee
MLT
29
13
0
11 May 2023
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks
Zhiwei Bai
Tao Luo
Z. Xu
Yaoyu Zhang
20
4
0
26 May 2022
Robust Nonparametric Regression with Deep Neural Networks
Robust Nonparametric Regression with Deep Neural Networks
Guohao Shen
Yuling Jiao
Yuanyuan Lin
Jian Huang
OOD
16
13
0
21 Jul 2021
Partition of unity networks: deep hp-approximation
Partition of unity networks: deep hp-approximation
Kookjin Lee
N. Trask
Ravi G. Patel
Mamikon A. Gulian
E. Cyr
8
29
0
27 Jan 2021
Optimal Function Approximation with Relu Neural Networks
Optimal Function Approximation with Relu Neural Networks
Bo Liu
Yi Liang
12
33
0
09 Sep 2019
A Selective Overview of Deep Learning
A Selective Overview of Deep Learning
Jianqing Fan
Cong Ma
Yiqiao Zhong
BDL
VLM
12
130
0
10 Apr 2019
The Oracle of DLphi
The Oracle of DLphi
Dominik Alfke
W. Baines
J. Blechschmidt
Mauricio J. del Razo Sarmina
Amnon Drory
...
L. Thesing
Philipp Trunschke
Johannes von Lindheim
David Weber
Melanie Weber
18
0
0
17 Jan 2019
Learning ReLU Networks on Linearly Separable Data: Algorithm,
  Optimality, and Generalization
Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization
G. Wang
G. Giannakis
Jie Chen
MLT
17
129
0
14 Aug 2018
On the Spectral Bias of Neural Networks
On the Spectral Bias of Neural Networks
Nasim Rahaman
A. Baratin
Devansh Arpit
Felix Dräxler
Min-Bin Lin
Fred Hamprecht
Yoshua Bengio
Aaron Courville
12
1,367
0
22 Jun 2018
Butterfly-Net: Optimal Function Representation Based on Convolutional
  Neural Networks
Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks
Yingzhou Li
Xiuyuan Cheng
Jianfeng Lu
11
23
0
18 May 2018
1