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Publication List - Rio Yokota 2022 (17 / 183 entries)
Journal Paper
International Conference (Reviewed)
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Aoyu Li,
Ikuro Sato,
Kohta Ishikawa,
Rei Kawakami,
Rio Yokota.
Informative Sample-Aware Proxy for Deep Metric Learning,
ACM MM Asia 2022,
Dec. 2022.
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Qianxiang Ma,
Sameer Deshmukh,
Rio Yokota.
Scalable Linear Time Dense Direct Solver for 3-D Problems Without Trailing Sub-Matrix Dependencies,
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22),
Nov. 2022.
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Hiroki Naganuma,
Kartik Ahuja,
Ioannis Mitliagkas,
Shiro Takagi,
Tetsuya Motokawa,
Rio Yokota,
Kohta Ishikawa,
Ikuro Sato.
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization,
NeurIPS 2022 Workshop on Distribution Shift,
Proc. NeurIPS 2022,
Nov. 2022.
Official location
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Hirokatsu Kataoka,
Ryo Hayamizu,
Ryosuke Yamada,
Kodai Nakashima,
Sora Takashima,
Xinyu Zhang,
Edgar Josafat Martinez-Noriega,
Nakamasa Inoue,
Rio Yokota.
Replacing Labeled Real-image Datasets with Auto-generated Contours,
IEEE/CVF Conference on Computer Vision and Pattern Recognition,
June 2022.
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Hana Hoshino,
Kei Ota,
Asako Kanezaki,
Rio Yokota.
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching,
IEEE International Conference on Robotics and Automation,
May 2022.
Official location
International Conference (Not reviewed / Unknown)
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Rio Yokota.
Matrices in Deep Neural Networks and How to Compute Them in Parallel,
IEEE CLUSTER,
Sept. 2022.
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Thomas Spendlhofer,
Rio Yokota.
Iterative Refinement with Hierarchical Low-rank Preconditioners Using Mixed Precision,
Conference on Advance Topics and Auto Tuning in High-Performance Scientific Computing (ATAT2022),
Mar. 2022.
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Muhammad Ridwan Apriansyah,
Rio Yokota.
Parallel QR Factorization of Block Low-rank Matrices,
Conference on Advance Topics and Auto Tuning in High-Performance Scientific Computing (ATAT2022),
Mar. 2022.
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Sameer Satish Deshmukh,
Rio Yokota.
Acceleration of O(N) Solvers for Large Dense Matrices,
Conference on Advance Topics and Auto Tuning in High-Performance Scientific Computing (ATAT2022),
Mar. 2022.
Domestic Conference (Not reviewed / Unknown)
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RYU TADOKORO,
HIROKATSU KATAOKA,
REI KAWAKAMI,
RIO YOKOTA,
NAKAMASA INOUE.
蒸留画像による事前学習効果についての検討,
ViEW ビジョン技術の実利用ワークショップ,
講演論文集,
Dec. 2022.
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Akihiro Ida,
荻田 武史,
伊田 明弘,
荻田 武史,
Rio Yokota.
対称ブロック低ランク行列の精度保証付き固有値問題解法,
日本応用数理学会2022年度年会,
Sept. 2022.
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Tomoya Takahashi,
八嶋晋吾,
石川康太,
Ikuro Sato,
Rio Yokota.
走行動画の大規模自己教師あり学習の検討と計画,
第25回 画像の認識・理解シンポジウム (MIRU2022),
MIRUブックレット,
July 2022.
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Aoyu Li,
Ikuro Sato,
石川康太,
Rei Kawakami,
Rio Yokota.
Informative Sample-Aware Proxy for Deep Metric Learning,
第25回 画像の認識・理解シンポジウム (MIRU2022),
MIRUブックレット,
July 2022.
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Shiyukai Nakamura,
Rio Yokota.
Vision Transformerにおけるバッチサイズの汎化性能への影響,
第84回情報処理学会全国大会,
Mar. 2022.
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Hiro Ishii,
Rio Yokota.
深層学習における2次最適化の汎化性能の検証,
第84回情報処理学会全国大会,
Mar. 2022.
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