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Yasushi Esaki
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2020 – today
- 2024
- [c3]Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano, Ryoko Tokuhisa, Takuro Kutsuna:
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex. AISTATS 2024: 1666-1674 - [c2]Yasushi Esaki
, Satoshi Koide, Takuro Kutsuna:
One-Shot Domain Incremental Learning. IJCNN 2024: 1-8 - [i4]Yasushi Esaki
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex. CoRR abs/2402.13765 (2024) - [i3]Yasushi Esaki, Satoshi Koide, Takuro Kutsuna:
One-Shot Domain Incremental Learning. CoRR abs/2403.16707 (2024) - 2023
- [j2]Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa, Akihiro Nakamura, Yasushi Esaki
StyleDiff: Attribute comparison between unlabeled datasets in latent disentangled space. Image Vis. Comput. 138: 104808 (2023) - [i2]Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa, Akihiro Nakamura, Yasushi Esaki:
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space. CoRR abs/2303.05102 (2023) - 2022
- [j1]Yasushi Esaki
The Ratio of the Desired Parameters of Deep Neural Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(3): 433-435 (2022) - 2020
- [c1]Yasushi Esaki
Theoretical Analysis of the Advantage of Deepening Neural Networks. ICMLA 2020: 479-484 - [i1]Yasushi Esaki
Theoretical Analysis of the Advantage of Deepening Neural Networks. CoRR abs/2009.11479 (2020)
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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