Supporting Distributed Individual Work in Cooperative Specification Development. - Motoshi Saeki; Saeeiab Sureerat; Kotaro Yoshida (CISMOD, 1995)

Japanese large-vocabulary continuous-speech recognition using a business-newspaper corpus. - Tatsuo Matsuoka; Katsutoshi Ohtsuki; Takeshi Mori; Kotaro Yoshida; Sadaoki Furui; Katsuhiko Shirai (ICASSP, 1997)

Japanese large-vocabulary continuous-speech recognition using a newspaper corpus and broadcast news. - Katsutoshi Ohtsuki; Tatsuo Matsuoka; Takeshi Mori; Kotaro Yoshida; Yuichi Taguchi; Sadaoki Furui; Katsuhiko Shirai (Speech Commun., 1999)

Inference of Genetic Networks using a Reduced NGnet Model. - Shuhei Kimura; Katsuki Sonoda; Soichiro Yamane; Kotaro Yoshida; Koki Matsumura; Mariko Hatakeyama (IJCNN, 2007)

Security of audio secret sharing scheme encrypting audio secrets. - Kotaro Yoshida; Yodai Watanabe (ICITST, 2012)

Advising cache for lower cache. - Kotaro Yoshida; Saneyasu Yamaguchi (IMCOM, 2017)

A Caching Filesystem for Increasing Locality in the Second Cache in a Virtualized Environment. - Kotaro Yoshida; Saneyasu Yamaguchi (IMCOM, 2018)

A method to design the pattern shape satisfying design parameters of a brassiere cup. - Kotaro Yoshida; Hidefumi Wakamatsu; Eiji Morinaga; Takahiro Kubo (SII, 2020)

Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration. - Kotaro Yoshida; Hiroki Naganuma (Trans. Mach. Learn. Res., 2024)

3D CNN-based Deep Learning Model-based Explanatory Prognostication in Patients with Multiple Myeloma using Whole-body MRI. - Kento Morita 002; Shigehiro Karashima; Toshiki Terao; Kotaro Yoshida; Takeshi Yamashita; Takeshi Yoroidaka; Mikoto Tanabe; Tatsuya Imi; Yoshitaka Zaimoku; Akiyo Yoshida; Hiroyuki Maruyama; Noriko Iwaki; et al. (J. Medical Syst., 2024)

Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement. - Kotaro Yoshida; Yuji Naraki; Takafumi Horie; Ryosuke Yamaki; Ryotaro Shimizu; Yuki Saito 002; Julian J. McAuley; Hiroki Naganuma (ICLR, 2025)

An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration. - Hiroki Naganuma; Ryuichiro Hataya; Kotaro Yoshida; Ioannis Mitliagkas (Trans. Mach. Learn. Res., 2025)

Robust Invariant Representation Learning by Distribution Extrapolation. - Kotaro Yoshida; Konstantinos Slavakis (CoRR, 2025)

On Fairness of Task Arithmetic: The Role of Task Vectors. - Hiroki Naganuma; Kotaro Yoshida; Laura Gomezjurado Gonzalez; Takafumi Horie; Yuji Naraki; Ryotaro Shimizu (CoRR, 2025)