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Analysing Neural Network Topologies: a Game Theoretic Approach

Analysing Neural Network Topologies: a Game Theoretic Approach

Julian Stier
G. Gianini
Michael Granitzer
Konstantin Ziegler
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Papers citing "Analysing Neural Network Topologies: a Game Theoretic Approach"

5 / 5 papers shown
Title
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
R. Heese
Thore Gerlach
Sascha Mucke
Sabine Muller
Matthias Jakobs
Nico Piatkowski
49
18
0
22 Jan 2023
Towards thinner convolutional neural networks through Gradually Global Pruning
Towards thinner convolutional neural networks through Gradually Global Pruning
Z. Wang
Ce Zhu
Zhiqiang Xia
Qi Guo
Yipeng Liu
CVBM
34
4
0
29 Mar 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
310
6,681
0
08 Jun 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
181
1,769
0
03 May 2015

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