Balancing Selection and Diversity in Ensemble Learning with Exponential Mixture Model. - Kosuke Sugiyama; Masato Uchida (ICANN (3), 2023)

Exploring Hessian Regularization in Mixup. - Kosuke Sugiyama; Masato Uchida (ICMLA, 2023)

Solving Distance-constrained Labeling Problems for Small Diameter Graphs via TSP*. - Tesshu Hanaka; Hirotaka Ono 001; Kosuke Sugiyama (IPDPS Workshops, 2023)

Shortest Beer Path Queries Based on Graph Decomposition. - Tesshu Hanaka; Hirotaka Ono 001; Kunihiko Sadakane; Kosuke Sugiyama (ISAAC, 2023)

Learning from Complementary Features. - Kosuke Sugiyama; Masato Uchida (CoRR, 2024)

Solving Distance-constrained Labeling Problems for Small Diameter Graphs via TSP. - Tesshu Hanaka; Hirotaka Ono 001; Kosuke Sugiyama (Int. J. Netw. Comput., 2024)

Learning from Hard Labels with Additional Supervision on Non-Hard-Labeled Classes. - Kosuke Sugiyama; Masato Uchida (CoRR, 2025)

Learning from Similarity-Confidence and Confidence-Difference. - Tomoya Tate; Kosuke Sugiyama; Masato Uchida (CoRR, 2025)