A research paper* at ICML 2021 written by Antonin Berthon, a past intern of RIKEN AIP supervised by Director of AIP Center, Masashi Sugiyama was featured in the Nikkan Kogyo Shimbun on July 21, 2021.
*Title: Confidence Scores Make Instance-dependent Label-noise Learning Possible
Antonin Berthon (ENS & RIKEN AIP)+
Bo Han (RIKEN AIP) Gang Niu (RIKEN AIP)
Tongliang Liu (The University of Sydney)
Masashi Sugiyama (RIKEN AIP/The University of Tokyo)
*The article can be found at the link below.
*Available only in Japanese
(Viewing the full article requires a Nikkan Kogyo user account.)