Sakai, Tomoya

19 publications

ICLR 2026 TSPulse: Tiny Pre-Trained Models with Disentangled Representations for Rapid Time-Series Analysis Vijay Ekambaram, Subodh Kumar, Arindam Jati, Sumanta Mukherjee, Tomoya Sakai, Pankaj Dayama, Wesley M. Gifford, Jayant Kalagnanam

NeurIPS 2024 A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation Tomoya Sakai, Haoxiang Qiu, Takayuki Katsuki, Daiki Kimura, Takayuki Osogami, Tadanobu Inoue

IJCAI 2024 Probabilistic Feature Matching for Fast Scalable Visual Prompting Thomas Frick, Cezary Skura, Filip Janicki, Roy Assaf, Niccolò Avogaro, Daniel Caraballo, Yagmur Gizem Cinar, Brown Ebouky, Ioana Giurgiu, Takayuki Katsuki, Piotr Kluska, Cristiano Malossi, Haoxiang Qiu, Tomoya Sakai, Florian Scheidegger, Andrej Simeski, Daniel Yang, Andrea Bartezzaghi, Mattia Rigotti

AISTATS 2021 Regret Minimization for Causal Inference on Large Treatment Space Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima

ECML-PKDD 2021 Source Hypothesis Transfer for Zero-Shot Domain Adaptation Tomoya Sakai

ICML 2020 Do We Need Zero Training Loss After Achieving Zero Training Error? Takashi Ishida, Ikko Yamane, Tomoya Sakai, Gang Niu, Masashi Sugiyama

UAI 2020 Robust Modal Regression with Direct Gradient Approximation of Modal Regression Risk Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori

AAAI 2019 Covariate Shift Adaptation on Learning from Positive and Unlabeled Data Tomoya Sakai, Nobuyuki Shimizu

MLJ 2018 Correction to: Semi-Supervised AUC Optimization Based on Positive-Unlabeled Learning Tomoya Sakai, Gang Niu, Masashi Sugiyama

MLJ 2018 Semi-Supervised AUC Optimization Based on Positive-Unlabeled Learning Tomoya Sakai, Gang Niu, Masashi Sugiyama

ICCVW 2017 Fast Approximate Karhunen-Loève Transform for Three-Way Array Data Hayato Itoh, Atsushi Imiya, Tomoya Sakai

AISTATS 2017 Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds Mina Ashizawa, Hiroaki Sasaki, Tomoya Sakai, Masashi Sugiyama

ICML 2017 Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data Tomoya Sakai, Marthinus Christoffel Plessis, Gang Niu, Masashi Sugiyama

NeurIPS 2016 Theoretical Comparisons of Positive-Unlabeled Learning Against Positive-Negative Learning Gang Niu, Marthinus Christoffel du Plessis, Tomoya Sakai, Yao Ma, Masashi Sugiyama

ECCV 2012 Hierarchical Properties of Multi-Resolution Optical Flow Computation Yusuke Kameda, Atsushi Imiya, Tomoya Sakai

ECCVW 2012 Hierarchical Properties of Multi-Resolution Optical Flow Computation Yusuke Kameda, Atsushi Imiya, Tomoya Sakai

ICCVW 2009 Multiple Pattern Classification by Sparse Subspace Decomposition Tomoya Sakai

ICCVW 2009 Randomized Algorithm of Spectral Clustering and Image/video Segmentation Using a Minority of Pixels Tomoya Sakai, Atsushi Imiya

ECCV 2004 Hierarchical Analysis of Low-Contrast Temporal Images with Linear Scale Space Tomoya Sakai, Atsushi Imiya