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On the Number of Linear Regions of Convolutional Neural Networks

On the Number of Linear Regions of Convolutional Neural Networks

1 June 2020
Huan Xiong
Lei Huang
Mengyang Yu
Li Liu
Fan Zhu
Ling Shao
    MLT
ArXivPDFHTML

Papers citing "On the Number of Linear Regions of Convolutional Neural Networks"

17 / 17 papers shown
Title
L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision Transformers
L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision Transformers
S. Casarin
Sergio Escalera
Oswald Lanz
34
0
0
12 May 2025
Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation
Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation
P. Rumiantsev
Mark Coates
55
0
0
27 Feb 2025
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
87
1
0
17 Feb 2025
Unlearning-based Neural Interpretations
Unlearning-based Neural Interpretations
Ching Lam Choi
Alexandre Duplessis
Serge Belongie
FAtt
47
0
0
10 Oct 2024
NASH: Neural Architecture and Accelerator Search for
  Multiplication-Reduced Hybrid Models
NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models
Yang Xu
Huihong Shi
Zhongfeng Wang
45
0
0
07 Sep 2024
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
94
32
0
29 Apr 2023
Getting Away with More Network Pruning: From Sparsity to Geometry and
  Linear Regions
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions
Junyang Cai
Khai-Nguyen Nguyen
Nishant Shrestha
Aidan Good
Ruisen Tu
Xin Yu
Shandian Zhe
Thiago Serra
MLT
40
7
0
19 Jan 2023
On the Number of Regions of Piecewise Linear Neural Networks
On the Number of Regions of Piecewise Linear Neural Networks
Alexis Goujon
Arian Etemadi
M. Unser
44
13
0
17 Jun 2022
Lower and Upper Bounds for Numbers of Linear Regions of Graph
  Convolutional Networks
Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks
Hao Chen
Yu Wang
Huan Xiong
GNN
16
6
0
01 Jun 2022
On the Feasibility and Generality of Patch-based Adversarial Attacks on
  Semantic Segmentation Problems
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems
Soma Kontár
A. Horváth
AAML
33
1
0
21 May 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another
  in Neural Networks
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
42
48
0
09 Mar 2022
Neural Architecture Search for Spiking Neural Networks
Neural Architecture Search for Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Priyadarshini Panda
26
88
0
23 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
25
26
0
16 Dec 2021
Sharp bounds for the number of regions of maxout networks and vertices
  of Minkowski sums
Sharp bounds for the number of regions of maxout networks and vertices of Minkowski sums
Guido Montúfar
Yue Ren
Leon Zhang
13
39
0
16 Apr 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial
  Networks
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Cristian Bodnar
Fabrizio Frasca
Yu Guang Wang
N. Otter
Guido Montúfar
Pietro Lió
M. Bronstein
48
247
0
04 Mar 2021
Group Whitening: Balancing Learning Efficiency and Representational
  Capacity
Group Whitening: Balancing Learning Efficiency and Representational Capacity
Lei Huang
Yi Zhou
Li Liu
Fan Zhu
Ling Shao
28
21
0
28 Sep 2020
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
148
602
0
14 Feb 2016
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