Hi! My name is Yuichiro Ueno (上野 裕一郎). I am working on computational infrastructure for machine learning workloads.
Yuichiro Ueno, Kazuki Osawa, Yohei Tsuji, Akira Naruse, Rio Yokota, Rich Information is Affordable: A Systematic Performance Analysis of Second-order Optimization Using K-FAC, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Aug. 2020.
Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Chuan-Sheng Foo, Rio Yokota, Scalable and Practical Natural Gradient for Large-Scale Deep Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, Jun. 2020.
Yohei Tsuji, Kazuki Osawa, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka, Performance Optimizations and Analysis of Distributed Deep Learning with Approximated Second-Order Optimization Method, Proceedings of the 48th International Conference on Parallel Processing: Workshops, No. 21, Aug. 2019.
Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka. Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun. 2019.
Yuichiro Ueno, Rio Yokota. Exhaustive Study of Hierarchical AllReduce Patterns for Large Messages Between GPUs, 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), May. 2019.