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)
1:30 PM - 1:45 PM JST(4:30 AM - 4:45 AM UTC)

[4M4-GS-2e-01]Neural network - additive GPR hybrid with optimized redundant features for robust and insightful MLSuppression of overfitting, simplicity, and possibility to obviate deep NNs in certain applications

〇Sergei Manzhos1, Manabu Ihara1 (1. Institute of Science Tokyo)
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)
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)
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)
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)
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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