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Model compression

Model compression is a machine learning technique for reducing the size of trained models. Large models can achieve high accuracy, but often at the cost of significant resource requirements. Compression techniques aim to compress models without significant performance reduction. Smaller models require less storage space, and consume less memory and…

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Techniques

Training

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Model compression

Nodes21
Edges20
Triples60
Avg. degree1.9
Density0.095238
Components1

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Model compression

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related to References · 50
Model compression → Acceleration, Anurag, Artificial Intelligence Review, Business Media LLC, By Lei, Cheng, Choudhary, Comprehensive Survey, Computers, Deep Neural Networks, Deng, Duo, February, Goswami, Guoqi, Han, Hardware Acceleration, Hengyi, IEEE, ISSN
related to Training · 4
Model compression → However, It, Model, The
is a · 1
Model compression → machine learning technique for reducing the size of trained models
related to Techniques · 1
Model compression → Several

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Important terminology

model compression models training survey parameters doi neural 10 deep networks 2020 acceleration also trained large issn weight less inference

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Model compressionis amachine learning technique for reducing the size of trained models0.90text
smartphonesinstance ofand consume less memory and compute during inference.Compressed models enable deployment on resource-constrained devices0.80text
embedded systemsinstance ofand consume less memory and compute during inference.Compressed models enable deployment on resource-constrained devices0.80text
edge computing devicesinstance ofand consume less memory and compute during inference.Compressed models enable deployment on resource-constrained devices0.80text
and consumer electronics computersinstance ofand consume less memory and compute during inference.Compressed models enable deployment on resource-constrained devices0.80text
Model compressionrelated to ReferencesReview0.60section
Model compressionrelated to ReferencesZhuo0.60section
Model compressionrelated to ReferencesLi0.60section
Model compressionrelated to ReferencesHengyi0.60section
Model compressionrelated to ReferencesMeng0.60section
Model compressionrelated to ReferencesLin0.60section
Model compressionrelated to ReferencesMarch0.60section

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