Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Nakano, Akihiro"'
Multi-task learning (MTL) is an active field in deep learning in which we train a model to jointly learn multiple tasks by exploiting relationships between the tasks. It has been shown that MTL helps the model share the learned features between tasks
Externí odkaz:
http://arxiv.org/abs/2111.14122
Autor:
Ito, Hiroshi, Heo, Yun, Ishida, Masayoshi, Nakano, Akihiro, Someya, Satoshi, Munakata, Tetsuo
Publikováno v:
In Journal of Power Sources 28 February 2017 342:393-404
Autor:
Nakano, Akihiro, Nishizu, Takahisa
Publikováno v:
In Cryogenics July 2016 77:43-48
Autor:
Ito, Hiroshi, Iwamura, Takuya, Someya, Satoshi, Munakata, Tetsuo, Nakano, Akihiro, Heo, Yun, Ishida, Masayoshi, Nakajima, Hironori, Kitahara, Tatsumi
Publikováno v:
In Journal of Power Sources 29 February 2016 306:289-299
Autor:
Nakano, Akihiro, Ito, Hiroshi, Bhogilla, Satya Sekhar, Motyka, Theodore, Corgnale, Claudio, Greenway, Scott, Hauback, Bjørn C.
Publikováno v:
In International Journal of Hydrogen Energy 19 February 2015 40(6):2663-2672
Publikováno v:
In Journal of The Japanese and International Economies December 2014 34:135-153
Autor:
Ito, Hiroshi, Abe, Katsuya, Ishida, Masayoshi, Nakano, Akihiro, Maeda, Tetsuhiko, Munakata, Tetsuo, Nakajima, Hironori, Kitahara, Tatsumi
Publikováno v:
In Journal of Power Sources 15 February 2014 248:822-830
Autor:
Nakano, Akihiro, Ito, Hiroshi, Maeda, Tetsuhiko, Munakata, Tetsuo, Motyka, Theodore, Corgnale, Claudio, Greenway, Scott, Perez-Berrios, Jose M.
Publikováno v:
In Journal of Alloys and Compounds 15 December 2013 580 Supplement 1:S418-S422
Autor:
Corgnale, Claudio, Motyka, Theodore, Greenway, Scott, Perez-Berrios, Jose M., Nakano, Akihiro, Ito, Hiroshi, Maeda, Tetsuhiko
Publikováno v:
In Journal of Alloys and Compounds 15 December 2013 580 Supplement 1:S406-S409
Akademický článek
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