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佐藤育郎 2023年 研究業績一覧 (12件 / 50件)
論文
国際会議発表 (査読有り)
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Tomoya Takahashi,
Shingo Yashima,
Kohta Ishikawa,
Ikuro Sato,
Rio Yokota.
Pixel-level Contrastive Learning of Driving Videos with Optical Flow,
CVPR workshop 2023,
Proc. CVPR workshop 2023,
IEEE,
June 2023.
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Wenru Zheng,
Ryota Yoshihashi,
Rei Kawakami,
Ikuro Sato,
Asako Kanezaki.
Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array,
6th CVPR Workshop on Multimodal Learning and Applications (MULA),,
June 2023.
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Toshihiro Ota,
Ikuro Sato,
Rei Kawakami,
Masayuki Tanaka,
Nakamasa Inoue.
Learning with Partial Forgetting in Modern Hopfield Networks,
The 26th International Conference on Artificial Intelligence and Statistics,
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics,
Apr. 2023.
公式リンク
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Yuzhe Hao,
Kuniaki Uto,
Asako Kanezaki,
Ikuro Sato,
Rei Kawakami,
Koichi Shinoda.
EvIs-Kitchen: Egocentric Human Activities Recognition with Video and Inertial Sensor data,
29TH INTERNATIONAL CONFERENCE ON MULTIMEDIA MODELING (MMM),
Proc. International Conference on MULTIMEDIA MODELING,
Springer Nature,
pp. 373–384,
Mar. 2023.
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Tatsukichi Shibuya,
Nakamasa Inoue,
Rei Kawakami,
Ikuro Sato.
Fixed-Weight Difference Target Propagation,
the 37th AAAI Conference on Artificial Intelligence,
Proceedings of the AAAI Conference on Artificial Intelligence,
vol. 37,
no. 8,
pp. 9811-9819,
Feb. 2023.
国内会議発表 (査読なし・不明)
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栗岡 保,
鈴木 哲平,
川上 玲,
佐藤 育郎.
Teach the way to deform:教師モデルが持つ不変性の転移,
画像の認識・理解シンポジウムMIRU2023,
MIRU2023 Extended Abstract集,
一般社団法人情報処理学会,
July 2023.
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加太 将弘,
吉橋 亮太,
川上 玲,
池畑 諭,
佐藤 育郎.
対照学習に基づく Mixture of Experts の経路表現学習,
画像の認識・理解シンポジウムMIRU2023,
MIRU2023 Extended Abstract集,
一般社団法人情報処理学会,
July 2023.
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磯部 凌,
川上 玲,
佐藤 育郎.
回帰器と生成器の協調による視線角度推論,
画像の認識・理解シンポジウムMIRU2023,
MIRU2023 Extended Abstract集,
一般社団法人情報処理学会,
July 2023.
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澁谷 辰吉,
井上中順,
川上 玲,
佐藤育郎.
二値重み空間でのBinary Neural Networksの学習,
画像の認識・理解シンポジウムMIRU2023,
MIRU2023 Extended Abstract集,
一般社団法人情報処理学会,
July 2023.
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J.R. Liang,
S. Gongyo,
M. Ambai,
R. Kawakami,
I. Sato.
Learning Non-Uniform Step-Sizes for Neural Network Quantization,
Seventh International Workshop on Symbolic-Neural Learning (SNL2023),
Proc.SNL2023,
June 2023.
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Masahiro Kada,
Ryota Yoshihashi,
Rei Kawakami,
Satoshi Ikehata,
Ikuro Sato.
Path Representation Learning of Mixture of Experts Based on Contrastive Learning,
Seventh International Workshop on Symbolic-Neural Learning (SNL2023),
Proc. SNL2023,
June 2023.
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