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西北工业大学 国内
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Reweighted Alternating Direction Method of Multipliers for DNN weight pruning
Ming Yuan,
Lin Du
, Feng Jiang, Jianchao Bai, Guanrong Chen
数学与统计学院
MIIT Key Laboratory of Dynamics and Control of Complex Systems
Northwestern Polytechnical University Xian
City University of Hong Kong
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探究 'Reweighted Alternating Direction Method of Multipliers for DNN weight pruning' 的科研主题。它们共同构成独一无二的指纹。
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Engineering
Alternating Direction Method of Multipliers
100%
Deep Neural Network
100%
Neural Network Weight
100%
Compression Ratio
100%
Experimental Result
33%
Regularization
33%
Conventional Method
33%
Effective Solution
33%
Computer Science
Alternating Direction Method of Multipliers
100%
Deep Neural Network
100%
Residual Neural Network
100%
Compression Ratio
75%
Conventional Method
25%
Experimental Result
25%
Superior Performance
25%
Leaning Parameter
25%
Regularization
25%
Effective Solution
25%
Chemical Engineering
Deep Neural Network
100%
Earth and Planetary Sciences
Compression Ratio
75%