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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 # |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 10:40 |
Okinawa |
(Primary: On-site, Secondary: Online) |
An Investigation into Weighting Strategies for Model Averaging in Continual Learning for Automatic Speech Recognition Kentaro Shinayama, Hiroshi Sato, Tomoharu Iwata, Takeshi Mori, Taichi Asami (NTT) EA2023-105 SIP2023-152 SP2023-87 |
In recent years, the application scope of speech recognition AI has expanded, enabling the acquisition of diverse data d... [more] |
EA2023-105 SIP2023-152 SP2023-87 pp.262-267 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2022-06-27 14:50 |
Okinawa |
(Primary: On-site, Secondary: Online) |
AI knowledge forgetting based on the importance of model parameters Tomoya Yamashita, Masanori Yamada (NTT) NC2022-3 IBISML2022-3 |
The accuracy of Deep Learning has been greatly improved by the progress of research in computer technology and Deep Lear... [more] |
NC2022-3 IBISML2022-3 pp.14-19 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2022-06-28 09:40 |
Okinawa |
(Primary: On-site, Secondary: Online) |
A Novel Analytical Method for Continual Learning Based on the Ease of Classification in Representation Spaces Kengo Murata, Seiya Ito, Kouzou Ohara (Aoyama Gakuin Univ.) NC2022-11 IBISML2022-11 |
(To be available after the conference date) [more] |
NC2022-11 IBISML2022-11 pp.86-93 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-21 13:00 |
Online |
Online |
Domain Incremental Leaning with Adaptive Loss Functions Takumi Kawashima (UTokyo), Go Irie, Daiki Ikami (NTT), Kiyoharu Aizawa (UTokyo) ITS2021-30 IE2021-39 |
During domain incremental learning of image classification task, the distribution of images continually change, and mode... [more] |
ITS2021-30 IE2021-39 pp.31-36 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 10:50 |
Online |
Online |
statistical mechanical analysis of catastrophic forgetting in continual learning with teacher and student networks Haruka Asanuma, Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida (Tokyo Univ.), Yasuhiko Igarashi (Tsukuba Univ.), Masato Okada (Tokyo Univ.) NC2020-18 |
When single neural networks sequentially learns more than one task, catastrophic forgetting occurs except for the last t... [more] |
NC2020-18 pp.50-55 |
ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] |
2019-07-23 13:35 |
Kochi |
Kochi University of Technology |
Proposal of Spam Filter by Applying Neural Network for Mitigating Catastrophic Forgetting Shuiti Kawahara, Lu Chen, Hiroyuki Inaba (KIT) ISEC2019-32 SITE2019-26 BioX2019-24 HWS2019-27 ICSS2019-30 EMM2019-35 |
The trend of spam mails is changing. Since, in recent years, spam mails sent from overseas mail serversare increasing, s... [more] |
ISEC2019-32 SITE2019-26 BioX2019-24 HWS2019-27 ICSS2019-30 EMM2019-35 pp.171-178 |
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