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 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-03 15:00 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
The Generalized Denoising Autoencoder with Tweedie's Formula Yuta Aishima (NAIST), Sho Sonoda (RIKEN), Noboru Isobe (Tokyo Univ.), Kazushi Ikeda (NAIST) IBISML2023-40 |
Denoising autoencoders learn the score of the data-generating distribution, i.e., $nabla log p(x)$. However, theoretical... [more] |
IBISML2023-40 pp.1-5 |
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 |
NLC, IPSJ-NL |
2023-03-18 11:05 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Estimating Named Entity Label Representation for Generative Low-Resource NER Yuya Sawada (NAIST), Hiroki Teranishi (RIKEN AIP), Hiroki Ouchi (NAIST), Yuji Matsumoto (RIKEN AIP), Taro Watanabe (NAIST) NLC2022-22 |
Named entity recognition (NER) system needs to identify the entities of novel entity types with fewer examples. Few-shot... [more] |
NLC2022-22 pp.16-21 |
ICSS, IPSJ-SPT |
2023-03-13 16:10 |
Okinawa |
Okinawaken Seinenkaikan (Primary: On-site, Secondary: Online) |
Evaluation of Copy Protection Technology Using Web Font Kazuki Nomoto (Waseda Univ.), Tatsuya Mori (Waseda Univ./NICT/RIKEN AIP) ICSS2022-61 |
This study proposes and evaluates Fonty, a copy protection technology for text content. First, Fonty encrypts text conte... [more] |
ICSS2022-61 pp.79-84 |
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 10:30 |
Kyoto |
Kyoto University (Primary: On-site, Secondary: Online) |
Statistically Significant Concept-based Explanation via Model Knockoffs Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma (Univ. Tsukuba/RIKEN AIP) IBISML2022-54 |
[more] |
IBISML2022-54 pp.78-85 |
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] |
2022-06-27 17:00 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity Shogo Sagawa (SOKENDAI), Hideitsu Hino (ISM/RIKEN) NC2022-7 IBISML2022-7 |
In domain adaptation, when there is a large distance between the source and target domains, the prediction performance w... [more] |
NC2022-7 IBISML2022-7 pp.61-68 |
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 |
CAS, SIP, VLD, MSS |
2022-06-16 10:25 |
Aomori |
Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Equal Opportunity in Robust Optimization for Unit Commitment Problem Considering Suppression of Renewable Energy Ichiro Toyoshima (TOSHIBA ESS), Pierre-Louis Poirion (RIKEN AIP), Tomohide Yamazaki, Kota Yaguchi, Masayuki Kubota, Ryota Mizutani (TOSHIBA ESS), Akiko Takeda (The University of Tokyo) CAS2022-2 VLD2022-2 SIP2022-33 MSS2022-2 |
[more] |
CAS2022-2 VLD2022-2 SIP2022-33 MSS2022-2 pp.7-12 |
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 |
COMP |
2021-03-08 13:30 |
Online |
Online |
[Invited Talk]
Sample-efficient Hamiltonian learning of quantum many-body systems Anurag Anshu (UC Berkley), Srinivasan Arunachalam (IBM), Tomotaka Kuwahara (RIKEN AIP), Mehdi Soleimanifar (MIT) COMP2020-32 |
[more] |
COMP2020-32 p.25 |
LOIS, ISEC, SITE |
2020-11-06 13:35 |
Online |
Online |
Report on the International Policy Trends in Data Protection
-- A Study on controller and processor in Europe 1 -- Naonori Kato (KDDI Research/RIKEN AIP), Masatomo Suzuki (Niigata Univ./RIKEN AIP), Yosuke Murakami (KDDI Research) ISEC2020-37 SITE2020-34 LOIS2020-17 |
[more] |
ISEC2020-37 SITE2020-34 LOIS2020-17 pp.31-36 |