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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 09:20 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Relation Between Shape/Texture Biases and Double-Descent Phenomenon in Visual Recognition Shuya Takahashi (Tokyo Denki Univ./AIST), Nakamasa Inoue, Rio Yokota (Tokyo Tech), Hirokatsu Kataoka (AIST), Eisaku Maeda (Tokyo Denki Univ.) PRMU2022-60 IBISML2022-67 |
Under certain conditions, the learning performance of machine learning undergoes a strange phenomenon called double-desc... [more] |
PRMU2022-60 IBISML2022-67 pp.13-16 |
PRMU |
2022-12-16 11:00 |
Toyama |
Toyama International Conference Center (Primary: On-site, Secondary: Online) |
[Short Paper]
Contrastive Learning using Adversarial Metric Learning Modules for Robust Image Recognition Yoshifumi Sugiyama (Tokyo Tech), Hirokatsu Kataoka (AIST), Rio Yokota, Nakamasa Inoue (Tokyo Tech) PRMU2022-47 |
[more] |
PRMU2022-47 pp.81-84 |
IBISML |
2021-03-02 13:05 |
Online |
Online |
IBISML2020-38 |
(To be available after the conference date) [more] |
IBISML2020-38 p.30 |
PRMU |
2017-10-12 09:30 |
Kumamoto |
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Accelerating Convolutional Neural Networks Using Low-Rank Tensor Decomposition Kazuki Osawa, Akira Sekiya, Hiroki Naganuma, Rio Yokota (Tokyo Inst. of Tech.) PRMU2017-63 |
In the image recognition using convolution neural networks (CNN), convolution operations occupies the majority of the co... [more] |
PRMU2017-63 pp.1-6 |
PRMU |
2017-10-13 09:15 |
Kumamoto |
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Improvement of speed using low precision arithmetic in deep learning and performance evaluation of accelerator Hiroki Naganuma, Akira Sekiya, Kazuki Osawa, Hiroyuki Ootomo, Yuji Kuwamura, Rio Yokota (Tokyo Inst. of Tech.) PRMU2017-81 |
While recent convolution neural networks (CNN)cite{ref:CNN} are improving performance, amout of computation and data vol... [more] |
PRMU2017-81 pp.101-107 |
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