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Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement.

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Title: Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement.
Authors: QING YANG1, qing.yang21@duke.edu, JIACHEN MAO1, jiachen.mao@duke.edu, ZUOGUAN WANG2, zuoguan.wang@bst.ai, HAI LI, HELEN1, hai.li@duke.edu
Source: ACM Journal on Emerging Technologies in Computing Systems; Oct2021, Vol. 17 Issue 4, p1-16, 16p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement.
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  Data: <searchLink fieldCode="AU" term="%22QING+YANG%22">QING YANG</searchLink><relatesTo>1</relatesTo>, <i>qing.yang21@duke.edu</i><br /><searchLink fieldCode="AU" term="%22JIACHEN+MAO%22">JIACHEN MAO</searchLink><relatesTo>1</relatesTo>, <i>jiachen.mao@duke.edu</i><br /><searchLink fieldCode="AU" term="%22ZUOGUAN+WANG%22">ZUOGUAN WANG</searchLink><relatesTo>2</relatesTo>, <i>zuoguan.wang@bst.ai</i><br /><searchLink fieldCode="AU" term="%22HAI+LI%2C+HELEN%22">HAI LI, HELEN</searchLink><relatesTo>1</relatesTo>, <i>hai.li@duke.edu</i>
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        Value: 10.1145/3447776
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      – Code: eng
        Text: English
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        PageCount: 16
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      – TitleFull: Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement.
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            NameFull: QING YANG
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            NameFull: JIACHEN MAO
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            – D: 01
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              Text: Oct2021
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              Y: 2021
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              Value: 17
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