AdaDeep: A usage-driven, automated deep model compression framework for enabling ubiquitous intelligent mobiles

AdaDeep: A usage-driven, automated deep model compression framework for enabling ubiquitous intelligent mobiles

Recent breakthroughs in deep neural networks (DNNs) have fueled a tremendously growing demand for bringing DNN-powered intelligence into mobile platforms. While the potential of deploying DNNs on resource-constrained platforms has been demonstrated by DNN compression techniques, the current practice...

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Bibliographic Details
Main Authors: LIU, Sicong, DU, Junzhao, NAN, Kaiming, ZHOU, Zimu, LIU, Hui, WANG, Zhangyang, LIN, Yingyan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Optimization
Mobile Computing
Mobile Handsets
Mobile Applications
Energy Storage
Measurement
Computational Modeling
Artificial Intelligence and Robotics
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/6648
https://ink.library.smu.edu.sg/context/sis_research/article/7651/viewcontent/tmc21_liu.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/6648
https://ink.library.smu.edu.sg/context/sis_research/article/7651/viewcontent/tmc21_liu.pdf

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