Shimbo, Masashi

9 publications

CVPR 2023 Learning Decorrelated Representations Efficiently Using Fast Fourier Transform Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi

AAAI 2018 Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo

IJCAI 2017 Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Yuji Matsumoto

AAAI 2016 Non-Linear Similarity Learning for Compositionality Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto

AAAI 2015 Localized Centering: Reducing Hubness in Large-Sample Data Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic

ECML-PKDD 2015 Ridge Regression, Hubness, and Zero-Shot Learning Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto

AAAI 2012 Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens

MLJ 2009 On the Properties of Von Neumann Kernels for Link Analysis Masashi Shimbo, Takahiko Ito, Daichi Mochihashi, Yuji Matsumoto

AAAI 1996 Improving the Learning Efficiencies of Realtime Search Toru Ishida, Masashi Shimbo