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Yuichiro Ueno
ORCID
Publication Activity (10 Years)
Years Active: 2018-2022
Publications (10 Years): 7
Top Topics
Optimization Method
Metaheuristic
Deep Learning
Kronecker Product
Top Venues
CoRR
CCGRID
KDD
ICPP Workshops
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Publications
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Kazuki Osawa
,
Yohei Tsuji
,
Yuichiro Ueno
,
Akira Naruse
,
Chuan-Sheng Foo
,
Rio Yokota
Scalable and Practical Natural Gradient for Large-Scale Deep Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
44 (1) (2022)
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.
KDD
(2020)
Kazuki Osawa
,
Yohei Tsuji
,
Yuichiro Ueno
,
Akira Naruse
,
Chuan-Sheng Foo
,
Rio Yokota
Scalable and Practical Natural Gradient for Large-Scale Deep Learning.
CoRR
(2020)
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.
CVPR
(2019)
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.
ICPP Workshops
(2019)
Yuichiro Ueno
,
Rio Yokota
Exhaustive Study of Hierarchical AllReduce Patterns for Large Messages Between GPUs.
CCGRID
(2019)
Kazuki Osawa
,
Yohei Tsuji
,
Yuichiro Ueno
,
Akira Naruse
,
Rio Yokota
,
Satoshi Matsuoka
Second-order Optimization Method for Large Mini-batch: Training ResNet-50 on ImageNet in 35 Epochs.
CoRR
(2018)