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J-GLOBAL ID：201902231229724025   Reference number：19A0306595

Layer Skip Learning using LARS variables for 39% Faster Conversion Time and Lower Bandwidth

39%高速変換時間と低帯域幅のためのLARS変数を用いた層スキップ学習【JST・京大機械翻訳】

Author (8)： Miyauchi Yuki (Graduate School of System Informatics, Kobe University, Kobe, Japan) ,  Mori Haruki (Graduate School of System Informatics, Kobe University, Kobe, Japan) ,  Youkawa Tetsuya (Graduate School of System Informatics, Kobe University, Kobe, Japan) ,  Yamada Kazuki (Graduate School of System Informatics, Kobe University, Kobe, Japan) ,  Izumi Shintato (Graduate School of System Informatics, Kobe University, Kobe, Japan) ,  Yoshimoto Masahiko (Graduate School of System Informatics, Kobe University, Kobe, Japan) ,  Kawaguchi Hiroshi (Graduate School of System Informatics, Kobe University, Kobe, Japan) ,  Inoue Atsuki (Fujitsu Laboratories Ltd., Computer Systems Laboratory, Kawasaki, Japan)
Material： IEEE Conference Proceedings  (IEEE Conf Proc)
Volume： 2018  Issue： ICECS  Page： 673-676  Publication year： 2018 
JST Material Number： W2441A  Document type： Proceedings
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： In this paper, a method for th...

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Thesaurus term： convolution ,  speedup ,  *high speed ,  hardware ,  *Learning ,  *bandwidth
Semi thesaurus term： 認識精度 , 【Automatic Indexing@JST】

JST classification (1)： Graphic and image processing in general  (JE04010I)

Terms in the title (4)： 低帯域 ,  変数 ,  層 ,  学習