Shuhei Nitta

According to our database, Shuhei Nitta authored at least 6 papers between 2013 and 2023.

Collaborative distances:

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

2023

Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories.

Shuhei Nitta, Taiji Suzuki, Albert Rodríguez Mulet, Atsushi Yaguchi, Ryusuke Hirai

Proceedings of the International Conference on Machine Learning and Applications, 2023

2021

Decomposable-Net: Scalable Low-Rank Compression for Neural Networks.

Atsushi Yaguchi, Taiji Suzuki, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Kernel ridge reconstruction for anomaly detection: general and low computational reconstruction.

Yasutaka Furusho, Shuhei Nitta, Yukinobu Sakata

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2019

Scalable Deep Neural Networks via Low-Rank Matrix Factorization.

Atsushi Yaguchi, Taiji Suzuki, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa

CoRR, 2019

2018

Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks.

Atsushi Yaguchi, Taiji Suzuki, Wataru Asano, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2013

Automatic model-based contour detection of left ventricle myocardium from cardiac CT images.

Takamasa Sugiura, Tomoyuki Takeguchi, Yukinobu Sakata, Shuhei Nitta, Tomoya Okazaki, Nobuyuki Matsumoto, Yasuko Fujisawa

Int. J. Comput. Assist. Radiol. Surg., 2013