Yohei Tsuji

According to our database, Yohei Tsuji authored at least 6 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Scalable and Practical Natural Gradient for Large-Scale Deep Learning.

Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Chuan-Sheng Foo, Rio Yokota

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2020

Rich Information is Affordable: A Systematic Performance Analysis of Second-order Optimization Using K-FAC.

Yuichiro Ueno, Kazuki Osawa, Yohei Tsuji, Akira Naruse, Rio Yokota

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Double-Precision FPUs in High-Performance Computing: An Embarrassment of Riches?

Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang, Keita Yashima, Toshiki Tsuchikawa, Yohei Tsuji, Artur Podobas, Satoshi Matsuoka

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Performance Optimizations and Analysis of Distributed Deep Learning with Approximated Second-Order Optimization Method.

Yohei Tsuji, Kazuki Osawa, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka

Proceedings of the 48th International Conference on Parallel Processing, 2019

Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks.

Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Second-order Optimization Method for Large Mini-batch: Training ResNet-50 on ImageNet in 35 Epochs.

Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka

CoRR, 2018