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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)
Chair: Masashi Sugiyama (Univ. of Tokyo) Vice Chair: Toshihiro Kamishima (AIST), Koji Tsuda (Univ. of Tokyo)
Secretary: Tomoharu Iwata (NTT), Atsuyoshi Nakamura (Hokkaido Univ.)
Assistant: Yoshinobu Kawahara (Osaka Univ.), Taiji Suzuki (Tokyo Inst. of Tech.)
DATE:
Thu, Dec 22, 2022 10:10 - 16:55
Fri, Dec 23, 2022 09:20 - 15:50
PLACE:
TOPICS:
Machine Learning, etc.
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Thu, Dec 22 AM (10:00 - 14:20)
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----- Introduction of Session ( 10 min. ) -----
(1) 10:10 - 10:50
(See Japanese page.)
(2) 10:50 - 11:30
(See Japanese page.)
----- Lunch Break ( 90 min. ) -----
(3) 13:00 - 13:40
(See Japanese page.)
(4) 13:40 - 14:20
(See Japanese page.)
----- Break ( 10 min. ) -----
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Thu, Dec 22 PM (14:30 - 16:55)
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(5) 14:30 - 14:50
Serendipity-aware niche content recommendation system
Shogo Kawasaki, (KIT)
(6) 14:50 - 15:10
Prediction of Answers Considering Characteristics
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
Nozomi Maki, Sumio Watanabe (TokyoTech)
(8) 15:30 - 15:45
[Short Paper]
Semi supervised image classification using unreliable pseudo label
Jihong Hu, Yinhao Li, Yen-Wei Chen (Ritsumeikan Univ.)
----- Break ( 10 min. ) -----
(9) 15:55 - 16:15
(See Japanese page.)
(10) 16:15 - 16:35
(See Japanese page.)
(11) 16:35 - 16:55
Implementation and evaluation of Noisy Nets to Reinforcement learning of Automated Designing ICT System
Tianchen Zhou (Sophia Univ.), Yutaka Yakuwa (NEC), Natsuki Okamura (Sophia Univ.), Takayuki Kuroda (NEC), Ikuko E. Yairi (Sophia Univ.)
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Fri, Dec 23 AM (09:20 - 11:30)
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(12) 09:20 - 09:40
Embedding stochastic differential equations into neural networks using duality
Naoki Sugishita, Jun Ohkubo (Saitama Univ.)
(13) 09:40 - 10:00
Effect of memory unit initialization on performance for function approximation
Yuto Terasawa, Jun Ohkubo (Saitama Univ.)
(14) 10:00 - 10:20
Zero-shot domain adaptation based on dual-level mix and contrast
Yu Zhe, Fukuchi Kazuto, Sakuma Jun (Tsukuba Univ/Riken AIP)
----- Break ( 10 min. ) -----
(15) 10:30 - 10:50
Statistically Significant Concept-based Explanation via Model Knockoffs
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
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
Nobutaka Ito, Masashi Sugiyama (UTokyo)
----- Lunch Break ( 90 min. ) -----
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Fri, Dec 23 PM (13:00 - 15:50)
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(18) 13:00 - 13:20
Initial evaluation of node embedding using quantum walk
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
Sota Sugiyama, Naoyuki Aikawa (TUS)
(20) 13:40 - 14:00
Multi-objective Bayesian Optimization for Identifying Distributionally-robust Pareto-frontier
Yu Inatsu (Nitech), Ichiro Takeuchi (Nagoya Univ./RIKEN)
(21) 14:00 - 14:20
(See Japanese page.)
----- Break ( 10 min. ) -----
(22) 14:30 - 14:50
Selective Inference for Cluster Level Inference in Brain Image Analysis
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
Hardik Tankaria, Dinesh Singh (Kyoto Univ.), Makoto Yamada (Kyoto Univ./OIST)
(24) 15:10 - 15:30
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)
(25) 15:30 - 15:50
Finding of Corporate Growth Patterns by Shapley Values
-- Case Study of Academy Development in the J-League --
Seiji Matsuhashi, Yukari Shirota (Gakushuin Univ)
# Information for speakers
General Talk will have 15 minutes for presentation and 5 minutes for discussion.
General Talk (ショートペーパー) will have 10 minutes for presentation and 5 minutes for discussion.
=== Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) ===
# FUTURE SCHEDULE:
Thu, Mar 2, 2023 - Fri, Mar 3, 2023: Future University Hakodate [Thu, Jan 5]
Last modified: 2022-12-03 03:36:01
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