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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICSS, IPSJ-SPT | 2024-03-22 12:35 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Open Secrets of GPTs Yusuke Kubo (NTT Communications), Tomoaki Tani (NTT Security), Ryusei Watanabe (N.F.Laboratories/Waseda Univ), Takuro Wakai, Yuto Toshikawa (Waseda Univ.), Tatsuya Mori (Waseda Univ. /NICT/ RIKEN)  ICSS2023-91 |
OpenAI released a service called GPTs in November 2023. Creating GPTs with arbitrary functionalities is straightforward;... [more] | ICSS2023-91 pp.160-165 |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-03-01 10:10 |
Fukuoka | A PoI Localization Method using Time-series SNS Posts with Photos Kohei Sawano (NAIST), Yuki Matsuda (NAIST/RIKEN AIP), Hiroki Ouchi (NAIST), Hirohiko Suwa, Keiichi Yasumoto (NAIST/RIKEN AIP) SeMI2023-80 |
In recent years, with the easing of COVID-19 movement restrictions, there has been a trend towards the recovery of touri... [more] | SeMI2023-80 pp.54-59 |
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| SITE, IPSJ-EIP | 2023-06-13 16:40 |
Tokyo | Rissho Univ. Shinagawa Campus | International regulatory trend survey report on AI
-- Focusing on the AILD proposal 2 -- Naonori Kato (KDDI Research/NFI/RIKEN), Yosuke Murakami, Minoru Kouzu (KDDI Research) SITE2023-6 |
[more] | SITE2023-6 pp.32-39 |
| IA, SITE, IPSJ-IOT [detail] | 2023-03-17 15:25 |
Gunma | Maebashi Institute of Technology (Primary: On-site, Secondary: Online) |
International regulatory trend survey report on AI
-- Focusing on the AILD proposal -- Naonori Kato (KDDI Research/NFI/RIKEN), Yosuke Murakami, Minoru Kouzu (KDDI Research) SITE2022-64 IA2022-87 |
September 2022, the European Commission published a Proposal for a Directive on adapting non-contractual civil liability... [more] | SITE2022-64 IA2022-87 pp.61-68 |
| IBISML | 2022-12-23 10:00 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Zero-shot domain adaptation based on dual-level mix and contrast Yu Zhe, Fukuchi Kazuto, Sakuma Jun (Tsukuba Univ/Riken AIP) IBISML2022-53 |
[more] | IBISML2022-53 pp.70-77 |
| IBISML | 2022-12-23 10:50 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Interpretable Deep Image Classifier with Class-distinguishable Concept Text Kazuhiro Saito, Kazuto Fukuchi (Univ.Tsukuba), Jun Sakuma (Univ.Tsukuba/RIKEN) IBISML2022-55 |
(To be available after the conference date) [more] | IBISML2022-55 pp.86-93 |
| IBISML | 2022-12-23 15:10 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Fixed Support Tree-Sliced Wasserstein Barycenter Yuki Takezawa, Ryoma Sato (Kyoto Univ./RIKEN AIP), Zornitsa Kozareva (Meta AI), Sujith Ravi (SliceX AI), Makoto Yamada (Kyoto University/RIKEN AIP/OIST) IBISML2022-63 |
The Wasserstein barycenter has been widely studied in various fields, including natural language processing, and compute... [more] | IBISML2022-63 pp.142-149 |
| PRMU | 2022-12-16 16:30 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Cell Detection from Partially Annotated Data Kazuma Fujii (Kyushu Univ.), Daiki suehiro (Kyushu Univ./AIP), Ryouma Bise (Kyushu Univ.) PRMU2022-55 |
(To be available after the conference date) [more] | PRMU2022-55 pp.122-126 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 17:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
Reduction Scheme for Empirical Risk Minimization and Its Applications to Multiple-Instance Learning Daiki Suehiro (Kyushu Univ./RIKEN AIP), Eiji Takimoto (Kyushu Univ.) NC2022-24 IBISML2022-24 |
[more] | NC2022-24 IBISML2022-24 pp.170-177 |
| IBISML | 2022-03-09 13:30 |
Online | Online | Is the Performance of My Deep Network Too Good to Be True?
-- A Direct Approach to Estimating the Bayes Error in Binary Classification -- Takashi Ishida (UTokyo), Ikko Yamane (Université Paris Dauphine-PSL/RIKEN), Nontawat Charoenphakdee (UTokyo), Gang Niu (RIKEN), Masashi Sugiyama (RIKEN/UTokyo) IBISML2021-44 |
[more] | IBISML2021-44 pp.38-45 |
| IBISML | 2022-01-17 11:20 |
Online | Online | CAMRI Loss: Class-wise Additive Angular Margin Loss for Improving Recall of a Specific Class Daiki Nishiyama (Univ. Tsukuba), Fukuchi Kazuto, Yohei Akimoto, Jun Sakuma (Univ. Tsukuba/RIKEN) IBISML2021-22 |
In real-world applications of multiclass classification models, there is a need to increase the recall of classes where ... [more] | IBISML2021-22 pp.29-36 |
| IBISML | 2022-01-18 13:20 |
Online | Online | IBISML2021-24 |
We aim to explain a black-box classifier with the form: `data X is classified as class Y because X has A, B and does not... [more] | IBISML2021-24 pp.45-53 |
| BioX, ISEC, SITE, ICSS, EMM, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2021-07-19 14:25 |
Online | Online | [Invited Talk]
Law and Ethics on data science Naonori Kato (KDDI Research/RIKEN) |
[more] | |
| BioX, ISEC, SITE, ICSS, EMM, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2021-07-20 16:45 |
Online | Online | International regulatory trend survey report on AI
-- Analysis of Proposal for a Regulation on a European approach for Artificial Intelligence Ⅱ -- Naonori Kato (KDDI Research/RIKEN), Masato Suzuki (Niigata Univ./RIKEN), Yoichiro Itakura (Hikari Sogoh Law Offices/RIKEN), Yosuke Murakami, Katsutoshi Hanahara (KDDI Research) ISEC2021-40 SITE2021-34 BioX2021-41 HWS2021-40 ICSS2021-45 EMM2021-45 |
[more] | ISEC2021-40 SITE2021-34 BioX2021-41 HWS2021-40 ICSS2021-45 EMM2021-45 pp.190-197 |
| IBISML | 2020-10-22 14:50 |
Online | Online | Suppressing explanations with irrelevant concepts in deep learning Munemasa Tomohiro (Tsukuba Univ), Fukuchi Kazuto, Akimoto Yohei, Sakuma Jun (Tsukuba Univ/Riken AIP) IBISML2020-32 |
TCAV [1], which is an explanation method using a concept that humans easily understand for deep learning models, concept... [more] | IBISML2020-32 pp.61-68 |
| SITE, IPSJ-EIP [detail] | 2020-06-04 11:20 |
Online | Online | A Study on Digital Policy in Europe
-- Comparison with Digital Single Market Strategy -- Naonori Kato (KDDI Research Inc./RIKEN AIP), Masatomo Suzuki (Niigata Univ./RIKEN AIP), Yosuke Murakami (KDDI Research Inc.) SITE2020-3 |
[more] | SITE2020-3 pp.13-19 |
| SITE, IPSJ-EIP [detail] | 2020-06-04 14:00 |
Online | Online | [Invited Talk]
Trends in international AI ethics policies Naonori Kato (KDDI Research/RIKEN AIP) SITE2020-5 |
[more] | SITE2020-5 pp.29-34 |
| IBISML | 2020-03-11 14:35 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
IBISML2019-47 |
[more] | IBISML2019-47 pp.95-100 |
| NLC, IPSJ-DC | 2019-09-27 17:50 |
Tokyo | Future Corporation | Improvement of Comment Ranking in Yahoo! News by In-House Competition Hiroaki Taguchi (Yahoo Japan), Soichiro Fujita (Tokyo Tech), Hayato Kobayashi (Yahoo Japan/RIKEN), Yoshimune Tabuchi, Ken Kobayashi (Yahoo Japan), Kazuma Murao (VISITS Technologies), Chahine Koleejan, Takeshi Masuyama, Taichi Yatsuka (Yahoo Japan), Manabu Okumura (Tokyo Tech) NLC2019-16 |
In this paper, we report on efforts of an in-house competition held for improving models that rank user comments in Yaho... [more] | NLC2019-16 pp.41-46 |
| AI | 2019-02-23 14:40 |
Tokyo | Estimation of Tags using Various Data for Online Video Sharing Sites Hiroki Sakaji (U-Tokyo), Akio Kobayashi (AIP), Masaki Kohana (Ibaraki Univ.), Yasunao Takano (Aoyama Gakuin Univ.), Kiyoshi Izumi (U-Tokyo) AI2018-50 |
[more] | AI2018-50 pp.71-75 |
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