Presentation 2021-08-26
Applying adaptive optimization to Bayes by Backprop and estimation of probability calibration by low precision random number generators
Keigo Nishida, Makoto Taiji,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
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Paper # PRMU2021-8
Date of Issue 2021-08-19 (PRMU)

Conference Information
Committee PRMU
Conference Date 2021/8/26(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) CV/PR techniques for human-robot cooperation
Chair Seiichi Uchida(Kyushu Univ.)
Vice Chair Masakazu Iwamura(Osaka Pref. Univ.) / Mitsuru Anpai(Denso IT Lab.)
Secretary Masakazu Iwamura(NTT) / Mitsuru Anpai(Tottori Univ.)
Assistant Kouta Yamaguchi(CyberAgent) / Yusuke Matsui(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Applying adaptive optimization to Bayes by Backprop and estimation of probability calibration by low precision random number generators
Sub Title (in English)
Keyword(1)
Keyword(2)
Keyword(3)
Keyword(4)
1st Author's Name Keigo Nishida
1st Author's Affiliation Osaka University/RIKEN(Osaka Univ./RIKEN)
2nd Author's Name Makoto Taiji
2nd Author's Affiliation RIKEN(RIKEN)
Date 2021-08-26
Paper # PRMU2021-8
Volume (vol) vol.121
Number (no) PRMU-155
Page pp.pp.7-12(PRMU),
#Pages 6
Date of Issue 2021-08-19 (PRMU)