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On Random Kernels of Residual Architectures
Etai Littwin
, Tomer Galanti
,
Lior Wolf
School of Electrical Engineering
COMPUTER SCIENCE
School of Computer Science and AI
Research output
:
Contribution to journal
›
Conference article
›
peer-review
1
Scopus citations
Overview
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Keyphrases
Neural Tangent Kernel
100%
Random Kernel
100%
Residual Architecture
100%
DenseNet
50%
Densely Connected Network
50%
Coefficient of Variation
25%
Vanilla
25%
Layer Width
25%
Parameterized Complexity
25%
Fixed Depth
25%
Normalized Variance
25%
Kernel Regression
25%
Gradient Feature
25%
Deep Residual Network
25%
Skip Connection
25%
Deep ResNet
25%
ResNet
25%
Mathematics
Residuals
100%
Connected Network
100%
Resnet
100%
Variance
50%
Residual Network
50%
Computer Science
Connected Network
100%
DenseNet
100%
Coefficient of Variation
50%
Residual Neural Network
50%
Arts and Humanities
Architecture
100%
Limits
100%