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A Review of Modularization Techniques in Artificial Neural Networks

A Review of Modularization Techniques in Artificial Neural Networks

29 April 2019
Mohammed Amer
Tomás Maul
ArXivPDFHTML

Papers citing "A Review of Modularization Techniques in Artificial Neural Networks"

6 / 6 papers shown
Title
Modular Growth of Hierarchical Networks: Efficient, General, and Robust
  Curriculum Learning
Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning
Mani Hamidi
Sina Khajehabdollahi
E. Giannakakis
Tim Schäfer
Anna Levina
Charley M. Wu
30
0
0
10 Jun 2024
Understanding Multimodal Deep Neural Networks: A Concept Selection View
Understanding Multimodal Deep Neural Networks: A Concept Selection View
Chenming Shang
Hengyuan Zhang
Hao Wen
Yujiu Yang
38
5
0
13 Apr 2024
Applications of Spiking Neural Networks in Visual Place Recognition
Applications of Spiking Neural Networks in Visual Place Recognition
S. Hussaini
Michael Milford
Tobias Fischer
61
6
0
22 Nov 2023
Neural Network Module Decomposition and Recomposition
Neural Network Module Decomposition and Recomposition
Hiroaki Kingetsu
Kenichi Kobayashi
Taiji Suzuki
19
10
0
25 Dec 2021
Clusterability in Neural Networks
Clusterability in Neural Networks
Daniel Filan
Stephen Casper
Shlomi Hod
Cody Wild
Andrew Critch
Stuart J. Russell
GNN
24
30
0
04 Mar 2021
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies
Fangyi Zhang
Jurgen Leitner
Michael Milford
Peter Corke
26
39
0
21 Oct 2016
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