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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 101  /  [Next]  
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
PRMU, IBISML, IPSJ-CVIM 2024-03-04
11:25
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Joint Estimation of Differential Equations and Latent Event Types from Temporal Point Processes
Shuichi Miyazawa (SOKENDAI), Daichi Mochihashi (ISM) IBISML2023-50
Ordinary differential equations (ODEs) help the interpretation of phenomena in various scientific fields. ODEs are often... [more] IBISML2023-50
pp.71-78
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
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2023-06-29
16:25
Okinawa OIST Conference Center
(Primary: On-site, Secondary: Online)
Minorization-Maximization for Determinantal Point Processes
Takahiro Kawashima (SOKENDAI), Hideitsu Hino (ISM/RIKEN) NC2023-7 IBISML2023-7
A determinantal point process (DPP) is a powerful probabilistic model that generates diverse random subsets from a groun... [more] NC2023-7 IBISML2023-7
pp.39-47
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
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
10:25
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Blind deconvolution with non-smooth regularization via Bregman proximal DC algorithms
Shota Takahashi (SOKENDAI), Mirai Tanaka, Ikeda Shiro (ISM) PRMU2022-79 IBISML2022-86
Blind deconvolution is a technique to recover an original signal without knowing a convolving filter from its convolutio... [more] PRMU2022-79 IBISML2022-86
pp.111-118
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
PRMU, IPSJ-CVIM 2022-03-11
09:45
Online Online A Study on Understanding the Meaning of Adverbs by Frequency Spectrum Analysis Using Gaussian Process
Tomoe Taniguchi (Ochanomizu Univ.), Daichi Mochihashi (ISM), Masatoshi Nagano, Tomoaki Nakamura (UEC), Takayuki Nagai (Osaka Univ.), Tetsunari Inamura (NII), Ichiro Kobayashi (Ochanomizu Univ.) PRMU2021-74
In this study, we attempt to understand the meaning of adverbs through the features of human actions.
Specifically, the... [more]
PRMU2021-74
pp.91-96
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 2022-03-09
14:55
Online Online Infinite SCAN: Joint Estimation of Changes and the Number of Word Senses with Gaussian Markov Random Fields
Seiichi Inoue, Mamoru Komachi (TMU), Toshinobu Ogiso (NINJAL), Hiroya Takamura (AIST), Daichi Mochihashi (ISM) IBISML2021-47
In this study, we propose a hierarchical Bayesian model that can automatically estimate the number of senses for each wo... [more] IBISML2021-47
pp.61-68
NLC 2022-03-07
13:25
Online Online An Exploratory Text Analysis for the Ideologies of the Chinese Communist Party
Yuki Mikiya (Keio Univ.), Daichi Mochihashi (ISM) NLC2021-32
Understanding the semantic differences among texts has important implications in the social sciences and humanities. In ... [more] NLC2021-32
pp.24-29
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