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Compression of neural networks for specialized tasks via value locality
Freddy Gabbay
*
, Gil Shomron
*
Corresponding author for this work
Research output
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Contribution to journal
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Article
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peer-review
2
Scopus citations
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Computer Science
Neural Network
100%
Convolutional Neural Network
100%
Experimental Result
40%
Training Process
40%
Compression Algorithm
40%
Activation Function
40%
Deep Neural Network
20%
Image Classification
20%
Neural Network Model
20%
Systems Performance
20%
Inference Process
20%
Energy Consumption
20%
Preprocessing Stage
20%
Computational Resource
20%
Computer Vision
20%
Output Feature Map
20%
Compression Stage
20%
Keyphrases
Neural Network
100%
Value Locality
100%
Locality-based
69%
Convolutional Neural Network
30%
Activation Function
15%
Training Process
15%
Compression Algorithms
15%
Compress
15%
Process Value
15%
Image Classification
7%
Deep Neural Network
7%
Computational Resources
7%
Computer Vision
7%
Cost Consumption
7%
Computationally Intensive
7%
Preprocessing Techniques
7%
Computer Image
7%
Inference Process
7%
Energy Consumption
7%
Computational Requirements
7%
System Energy
7%
Feature Map
7%
Performance System
7%
Edge Devices
7%
Network Value
7%
Output Features
7%
Saving Rate
7%
Intensive Training
7%
Convolutional Neural Network Model
7%
System Cost
7%
Neural Network Compression
7%
Network Task
7%
Compressor Stage
7%