| Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) |
[schedule] [select]
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| Chair |
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Masashi Sugiyama (Univ. of Tokyo) |
| Vice Chair |
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Toshihiro Kamishima (AIST), Koji Tsuda (Univ. of Tokyo) |
| Secretary |
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Tomoharu Iwata (NTT), Atsuyoshi Nakamura (Hokkaido Univ.) |
| Assistant |
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Yoshinobu Kawahara (Osaka Univ.), Taiji Suzuki (Tokyo Inst. of Tech.) |
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| Conference Date |
Thu, Dec 22, 2022 10:10 - 16:55
Fri, Dec 23, 2022 09:20 - 15:50 |
| Topics |
Machine Learning, etc. |
| Conference Place |
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Copyright
and
reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Registration Fee |
This workshop will be held as the IEICE workshop in fully electronic publishing. Registration fee will be necessary except the speakers and participants other than the participants to workshop(s) in non-electronic publishing. See the registration fee page. We request the registration fee or presentation fee to participants who will attend the workshop(s) on IBISML. |
Thu, Dec 22 AM
10:00 - 14:20 |
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10:00-10:10 |
Introduction of Session ( 10 min. ) |
| (1) |
10:10-10:50 |
 IBISML2022-40 |
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| (2) |
10:50-11:30 |
IBISML2022-41 |
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| |
11:30-13:00 |
Lunch Break ( 90 min. ) |
| (3) |
13:00-13:40 |
IBISML2022-42 |
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| (4) |
13:40-14:20 |
IBISML2022-43 |
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14:20-14:30 |
Break ( 10 min. ) |
Thu, Dec 22 PM
14:30 - 16:55 |
| (5) |
14:30-14:50 |
Serendipity-aware niche content recommendation system IBISML2022-44 |
Shogo Kawasaki, (KIT) |
| (6) |
14:50-15:10 |
Prediction of Answers Considering Characteristics IBISML2022-45 |
Yo Ehara (TGU) |
| (7) |
15:10-15:30 |
Effect of Prior Distribution when Data-Generating Process is in a Neighborhood of Singularities of Learning Machines IBISML2022-46 |
Nozomi Maki, Sumio Watanabe (TokyoTech) |
| (8) |
15:30-15:45 |
[Short Paper]
Semi supervised image classification using unreliable pseudo label IBISML2022-47 |
Jihong Hu, Yinhao Li, Yen-Wei Chen (Ritsumeikan Univ.) |
| |
15:45-15:55 |
Break ( 10 min. ) |
| (9) |
15:55-16:15 |
IBISML2022-48 |
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| (10) |
16:15-16:35 |
IBISML2022-49 |
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| (11) |
16:35-16:55 |
Implementation and evaluation of Noisy Nets to Reinforcement learning of Automated Designing ICT System IBISML2022-50 |
Tianchen Zhou (Sophia Univ.), Yutaka Yakuwa (NEC), Natsuki Okamura (Sophia Univ.), Takayuki Kuroda (NEC), Ikuko E. Yairi (Sophia Univ.) |
Fri, Dec 23 AM
09:20 - 11:30 |
| (12) |
09:20-09:40 |
Embedding stochastic differential equations into neural networks using duality IBISML2022-51 |
Naoki Sugishita, Jun Ohkubo (Saitama Univ.) |
| (13) |
09:40-10:00 |
Effect of memory unit initialization on performance for function approximation IBISML2022-52 |
Yuto Terasawa, Jun Ohkubo (Saitama Univ.) |
| (14) |
10:00-10:20 |
Zero-shot domain adaptation based on dual-level mix and contrast IBISML2022-53 |
Yu Zhe, Fukuchi Kazuto, Sakuma Jun (Tsukuba Univ/Riken AIP) |
| |
10:20-10:30 |
Break ( 10 min. ) |
| (15) |
10:30-10:50 |
Statistically Significant Concept-based Explanation via Model Knockoffs IBISML2022-54 |
Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma (Univ. Tsukuba/RIKEN AIP) |
| (16) |
10:50-11:10 |
Interpretable Deep Image Classifier with Class-distinguishable Concept Text IBISML2022-55 |
Kazuhiro Saito, Kazuto Fukuchi (Univ.Tsukuba), Jun Sakuma (Univ.Tsukuba/RIKEN) |
| (17) |
11:10-11:30 |
Enhancement of Audio Signals Using Learning from Positive and Unlabelled Data IBISML2022-56 |
Nobutaka Ito, Masashi Sugiyama (UTokyo) |
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11:30-13:00 |
Lunch Break ( 90 min. ) |
Fri, Dec 23 PM
13:00 - 15:50 |
| (18) |
13:00-13:20 |
Initial evaluation of node embedding using quantum walk IBISML2022-57 |
Rei Sato, Shuichiro Haruta, Kazuhiro Saito, Mori Kurokawa (KDDI Research, Inc.) |
| (19) |
13:20-13:40 |
Improvement of Defect Detection Accuracy by Background Subtraction Method Using CycleGAN IBISML2022-58 |
Sota Sugiyama, Naoyuki Aikawa (TUS) |
| (20) |
13:40-14:00 |
Multi-objective Bayesian Optimization for Identifying Distributionally-robust Pareto-frontier IBISML2022-59 |
Yu Inatsu (Nitech), Ichiro Takeuchi (Nagoya Univ./RIKEN) |
| (21) |
14:00-14:20 |
IBISML2022-60 |
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| |
14:20-14:30 |
Break ( 10 min. ) |
| (22) |
14:30-14:50 |
Selective Inference for Cluster Level Inference in Brain Image Analysis IBISML2022-61 |
Masaya Ikuta, Mizuki Sato (NITech), Akifumi Yamada (Nagoya Univ.), Vo Nguyen Le Duy (NITech/RIKEN), Ryo Emoto (Nagoya Univ.), Yuko Ishimaru, Yuka Takao, Atsushi Kawaguchi (Saga Univ.), Shigeyuki Matsui (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) |
| (23) |
14:50-15:10 |
Nys-Newton: Nyström-Approximated Curvature for Convex Optimization IBISML2022-62 |
Hardik Tankaria, Dinesh Singh (Kyoto Univ.), Makoto Yamada (Kyoto Univ./OIST) |
| (24) |
15:10-15:30 |
Fixed Support Tree-Sliced Wasserstein Barycenter IBISML2022-63 |
Yuki Takezawa, Ryoma Sato (Kyoto Univ./RIKEN AIP), Zornitsa Kozareva (Meta AI), Sujith Ravi (SliceX AI), Makoto Yamada (Kyoto University/RIKEN AIP/OIST) |
| (25) |
15:30-15:50 |
Finding of Corporate Growth Patterns by Shapley Values
-- Case Study of Academy Development in the J-League -- IBISML2022-64 |
Seiji Matsuhashi, Yukari Shirota (Gakushuin Univ) |
| Announcement for Speakers |
| General Talk | Each speech will have 15 minutes for presentation and 5 minutes for discussion. |
| General Talk (ショートペーパー) | Each speech will have 10 minutes for presentation and 5 minutes for discussion. |
| Contact Address and Latest Schedule Information |
| IBISML |
Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) [Latest Schedule]
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| Contact Address |
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Last modified: 2022-12-03 03:36:01
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