Session Details
[3E1-GS-2d]Machine learning
Wed. Jun 10, 2026 9:00 AM - 10:30 AM JST
Wed. Jun 10, 2026 12:00 AM - 1:30 AM UTC
Wed. Jun 10, 2026 12:00 AM - 1:30 AM UTC
Room E(Main hall C)
[3E1-GS-2d-01]Structural Regularization Learning of Graph Neural Networks based on Conditional Independency
〇Sawaka Wada1, Sugahara Shouta1, Maomi Ueno1 (1. The University of Electro-Communications)
[3E1-GS-2d-02]A Gradient-based Approach to Interpreting VLM Representations Learned by Sparse Autoencoders
〇So Ohira1, Takafumi Koshinaka1 (1. Yokohama City University)
[3E1-GS-2d-03]Correction of Structural Embeddings via Relative Degree: Eliminating Scale Bias in Cross-Network Alignment
〇Shu Liu1 (1. Japan Data Science Consortium Co. Ltd.)
[3E1-GS-2d-04]Viewpoint-Robust Latent Action Learning Using Zero-Action Regularization
〇Yusei Koen1, Masahiro Suzuki1, Yutaka Matsuo1 (1. The University of Tokyo)
[3E1-GS-2d-05]Codeword-based Expert Representation with Hamming-Distance-Aware DSelect-k Mixture-of-Experts
〇Kotaro Kanda1, Haruki Nagami1, Ayako Yamagiwa1, Masayuki Goto1 (1. Waseda University)
[3E1-GS-2d-06]Acquisition of Multiple Interval Graph Patterns by Evolutionary Learning using Syntactic Similarity based Clustering
Haruki Ikeda4, Wataru Komatsu4, 〇TETSUHIRO MIYAHARA1, Tetsuji Kuboyama3, Yusuke Suzuki4, Takayoshi Shoudai2, Tomoyuki Uchida4 (1. Hiroshima City University, Graduate School of Information Sciences, 2. Fukuoka Institute of Technology, 3. Gakushuin University, 4. Hiroshima City University)
