文献
J-GLOBAL ID:201802239022778603
整理番号:18A2041082
プログレッシブ仮想データセット生成によるDNN設計の確率的機能検証【JST・京大機械翻訳】
Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation
著者 (7件):
Choi Jinhang
(Pennsylvania State University, University Park, School of Electrical Engineering and Computer Science, PA 16802, USA)
,
Irick Kevin M.
(SiliconScapes LLC, USA)
,
Hardin Justin
(Pennsylvania State University, University Park, School of Electrical Engineering and Computer Science, PA 16802, USA)
,
Qiu Weichao
(Johns Hopkins University, Department of Computer Science, Baltimore, MD 21218, USA)
,
Yuille Alan
(Johns Hopkins University, Department of Computer Science, Baltimore, MD 21218, USA)
,
Sampson Jack
(Pennsylvania State University, University Park, School of Electrical Engineering and Computer Science, PA 16802, USA)
,
Narayanan Vijaykrishnan
(Pennsylvania State University, University Park, School of Electrical Engineering and Computer Science, PA 16802, USA)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2018
号:
ISCAS
ページ:
1-5
発行年:
2018年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)