The 40th Annual Conference of the Japanese Society for Artificial Intelligence, 2026
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Session Details

General SessionGeneral session : GS-2 Machine learning

[4M4-GS-2e]Machine learning

Thu. Jun 11, 2026 1:30 PM - 3:00 PM JST
Thu. Jun 11, 2026 4:30 AM - 6:00 AM UTC
Room M(Middle room 302A)
座長：金井 関利（NTT）
1:30 PM - 1:45 PM JST(4:30 AM - 4:45 AM UTC)

[4M4-GS-2e-01]ニューラルネットワークと最適化された冗長座標における加法カーネルGPRのハイブリッド手法：堅牢で洞察力のある機械学習へSuppression of overfitting, simplicity, and possibility to obviate deep NNs in certain applications

〇Sergei Manzhos1, Manabu Ihara1 (1. Institute of Science Tokyo)
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1:45 PM - 2:00 PM JST(4:45 AM - 5:00 AM UTC)

[4M4-GS-2e-02]Neural Classifiers with Embedded Statistical Clustering and Dynamic Feature Selection

〇Hiroshi Uehara1,3, Daichi Mochihashi2,3 (1. Kyoai Gakuen University, 2. The Institute of Statistical Mathematics, 3. SOKENDAI)
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2:00 PM - 2:15 PM JST(5:00 AM - 5:15 AM UTC)

[4M4-GS-2e-03]Kernel Occupation Readout for Oscillatory Recurrent Neural Networks

〇Yuto Inui1, Masahiro Ikeda1,2, Takuya Konishi1,2, Yoshinobu Kawahara1,2 (1. The University of Osaka, 2. RIKEN)
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2:15 PM - 2:30 PM JST(5:15 AM - 5:30 AM UTC)

[4M4-GS-2e-04]Multi-Task Deep-IRT Simultaneously Predicting Correct/Incorrect Responses and Time Required Using Text Features as Auxiliary Information

〇Soichiro Ishiyama1, Kazuma Fuchimoto2, Maomi Ueno1 (1. The University of Electro Communications, 2. National Center for University Entrance Examinations)
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2:30 PM - 2:45 PM JST(5:30 AM - 5:45 AM UTC)

[4M4-GS-2e-05]On Loss Flatness and Hybrid Model Learning

〇Naoya Takeishi1 (1. The University of Tokyo)
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2:45 PM - 3:00 PM JST(5:45 AM - 6:00 AM UTC)

[4M4-GS-2e-06]A Systematic Analysis of Memory-Augmented Neural Network Designs for Algorithmic Sequence Learning

〇Tomoyuki Unno1, Ichigaku Takigawa1 (1. University of Tokyo)
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