Presentation 2022-03-09
Is the Performance of My Deep Network Too Good to Be True?
Takashi Ishida, Ikko Yamane, Nontawat Charoenphakdee, Gang Niu, Masashi Sugiyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # IBISML2021-44
Date of Issue 2022-03-01 (IBISML)

Conference Information
Committee IBISML
Conference Date 2022/3/8(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Machine Learning, etc.
Chair Ichiro Takeuchi(Nagoya Inst. of Tech.)
Vice Chair Masashi Sugiyama(Univ. of Tokyo)
Secretary Masashi Sugiyama(Univ. of Tokyo)
Assistant Tomoharu Iwata(NTT) / Atsuyoshi Nakamura(Hokkaido Univ.)

Paper Information
Registration To Technical Committee on Infomation-Based Induction Sciences and Machine Learning
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Is the Performance of My Deep Network Too Good to Be True?
Sub Title (in English) A Direct Approach to Estimating the Bayes Error in Binary Classification
Keyword(1)
1st Author's Name Takashi Ishida
1st Author's Affiliation The University of Tokyo(UTokyo)
2nd Author's Name Ikko Yamane
2nd Author's Affiliation Universit? Paris Dauphine-PSL/RIKEN AIP(Universit? Paris Dauphine-PSL/RIKEN)
3rd Author's Name Nontawat Charoenphakdee
3rd Author's Affiliation The University of Tokyo(UTokyo)
4th Author's Name Gang Niu
4th Author's Affiliation RIKEN AIP(RIKEN)
5th Author's Name Masashi Sugiyama
5th Author's Affiliation RIKEN AIP/The University of Tokyo(RIKEN/UTokyo)
Date 2022-03-09
Paper # IBISML2021-44
Volume (vol) vol.121
Number (no) IBISML-419
Page pp.pp.38-45(IBISML),
#Pages 8
Date of Issue 2022-03-01 (IBISML)