鈴木雅大・佐藤晴彦・小山聡・栗原正仁・松尾豊, 属性ごとの観測確率を考慮したゼロショット学習,情報処理学会論文誌, Vol. 57, No. 5 , pp. 1-15, 2016.
国際会議論文
Masahiro Suzuki, Haruhiko Sato,Satoshi Oyama, Masahito Kurihara, Transfer Learning Based on the Observation Probability of Each Attribute, IEEE SMC 2014, 2014.
Masahiro Suzuki, Haruhiko Sato,Satoshi Oyama, Masahito Kurihara, Image Classification by Transfer Learning Based on the Predictive Ability of Each Attribute,Proceedings of the International MultiConference of Engineers and Computer Scientists 2014,Vol I, pp.75-78, 2014.
国際会議発表
Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo, Joint Multimodal Learning with Deep Generative Models, ICLR workshop, 2017.
Masatoshi Uehara, Issei Sato, Masahiro Suzuki, Kotaro Nakayama and Yutaka Matsuo,b-GAN: New Framework of Generative Adversarial Networks, NIPS workshop, 2016.
Takeshi Itoh, Jumpei Ukita, Ayaka Kato, Takaaki Kaneko, Masahiro Suzuki, Yusuke Iwasawa, Modeling the development of place cells in hippocampus, BICA, 2015.
Preprint papers
Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo, Joint Multimodal Learning with Deep Generative Models, arXiv, 2016.
Joji Toyama, Masanori Misono, Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo, Neural Machine Translation with Latent Semantic of Image and Text, arXiv, 2016.
Masatoshi Uehara, Issei Sato, Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo, Generative Adversarial Nets from a Density Ratio Estimation Perspective, arXiv, 2016.