Masashi Sugiyama

Research interests

Publications

• Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review

  Journal of Medical Systems · 2024 · https://doi.org/10.1007/s10916-024-02105-8

• Deep learning, reinforcement learning, and world models

  Neural Networks · 2022 · https://doi.org/10.1016/j.neunet.2022.03.037

• Are Anchor Points Really Indispensable in Label-Noise Learning?

  arXiv (Cornell University) · 2019 · https://doi.org/10.48550/arxiv.1906.00189

• High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso

  Journal · 2018 · https://doi.org/10.1184/r1/6475769.v1

• Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

  Neural Information Processing Systems · 2018 · https://doi.org/10.5555/3327757.3327944

• Masking: A New Perspective of Noisy Supervision

  arXiv (Cornell University) · 2018 · https://doi.org/10.48550/arxiv.1805.08193

• Learning Discrete Representations via Information Maximizing Self-Augmented Training

  arXiv (Cornell University) · 2017 · https://doi.org/10.48550/arxiv.1702.08720

• Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations Part 2 Applications and Future Perspectives

  Foundations and Trends® in Machine Learning · 2017 · https://doi.org/10.1561/2200000067

• Convex Formulation for Learning from Positive and Unlabeled Data

  International Conference on Machine Learning · 2015

• Analysis of Learning from Positive and Unlabeled Data

  Neural Information Processing Systems · 2014

• Change-point detection in time-series data by relative density-ratio estimation

  Neural Networks · 2013 · https://doi.org/10.1016/j.neunet.2013.01.012

• Density Ratio Estimation in Machine Learning

  Cambridge University Press eBooks · 2012 · https://doi.org/10.1017/cbo9781139035613

• Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation

  Journal · 2012

• Machine Learning in Non-Stationary Environments

  The MIT Press eBooks · 2012 · https://doi.org/10.7551/mitpress/9780262017091.001.0001

• Sequential change‐point detection based on direct density‐ratio estimation

  Statistical Analysis and Data Mining The ASA Data Science Journal · 2011 · https://doi.org/10.1002/sam.10124

• Statistical outlier detection using direct density ratio estimation

  Knowledge and Information Systems · 2010 · https://doi.org/10.1007/s10115-010-0283-2

• Active Learning in Recommender Systems

  Springer eBooks · 2010 · https://doi.org/10.1007/978-0-387-85820-3_23

• A Least-squares Approach to Direct Importance Estimation

  Journal · 2009

• Semi-supervised local Fisher discriminant analysis for dimensionality reduction

  Machine Learning · 2009 · https://doi.org/10.1007/s10994-009-5125-7

• Direct importance estimation with model selection and its application to covariate shift adaptation

  Journal · 2008

• Direct importance estimation for covariate shift adaptation

  Annals of the Institute of Statistical Mathematics · 2008 · https://doi.org/10.1007/s10463-008-0197-x

• Covariate Shift Adaptation by Importance Weighted Cross Validation

  Journal · 2007

• Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis

  Journal · 2007

• Local Fisher discriminant analysis for supervised dimensionality reduction

  Journal · 2006 · https://doi.org/10.1145/1143844.1143958

Current projects

No projects listed.