Yasushi Esaki

According to our database, Yasushi Esaki authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

One-Shot Domain Incremental Learning.

Yasushi Esaki, Satoshi Koide, Takuro Kutsuna

CoRR, 2024

Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex.

Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano, Ryoko Tokuhisa, Takuro Kutsuna

CoRR, 2024

2023

StyleDiff: Attribute comparison between unlabeled datasets in latent disentangled space.

Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa, Akihiro Nakamura, Yasushi Esaki

Image Vis. Comput., October, 2023

2022

The Ratio of the Desired Parameters of Deep Neural Networks.

Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022

2020

Theoretical Analysis of the Advantage of Deepening Neural Networks.

Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020