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Atarashi, Kyohei

Graduate School of Informatics, Department of Informatics Assistant Professor

Atarashi, Kyohei
list
    Last Updated :2025/05/01

    Basic Information

    Faculty

    • Faculty of Engineering

    Email Address

    • Email Address

      atarashi.kyohei.7zkyoto-u.ac.jp

    Academic Degree

    • 25 Mar. 2021
      北海道大学博士(情報科学)
    • 22 Mar. 2018
      北海道大学修士(情報科学)

    Academic Resume (Undergraduate School/Majors)

    • 北海道大学, 工学部情報エレクトロニクス学科, 卒業

    ID,URL

    researchmap URL

    list
      Last Updated :2025/05/01

      Research

      Research Interests

      • ヒューマンコンピュテーション
      • クラウドソーシング
      • 機械学習
      • 人工知能

      Papers

      • Neural collaborative filtering with multicriteria evaluation data.
        Hiroki Morise; Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara
        Applied Soft Computing, 2022, Peer-reviewed
      • Vertical Federated Learning for Higher-Order Factorization Machines.
        Kyohei Atarashi; Masakazu Ishihata
        Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, 2021, Peer-reviewed
      • Sparse random feature maps for the item-multiset kernel.
        Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara
        Neural Networks, 2021, Peer-reviewed, Lead author
      • Factorization Machines with Regularization for Sparse Feature Interactions.
        Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara
        Journal of Machine Learning Research, 2021, Peer-reviewed, Lead author
      • Factorization Machines with Regularization for Sparse Feature Interactions.
        Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara
        CoRR, 2020, Lead author
      • Unsupervised Feature Learning for Output Control of Generative Models.
        Kazuki Toda; Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara
        Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems(SCIS/ISIS), 2020, Peer-reviewed
      • Adapting the Learning Rate of the Learning Rate in Hypergradient Descent.
        Kazuma Itakura; Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara
        Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems(SCIS/ISIS), 2020, Peer-reviewed
      • Link Prediction Using Higher-Order Feature Combinations across Objects.
        Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara
        IEICE Transactions on Information & Systems, 2020, Peer-reviewed, Lead author
      • A Personalized Affect Response Model for Online News Articles.
        Kyohei Atarashi; Akimi Moriyama; Satoshi Oyama; Masahito Kurihara
        Joint Proceedings of the Workshops on Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2019) and on Bridging the Gap Between Human and Automated Reasoning (BtG 2019) co-located with 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)(LaCATODA/BtG@IJCAI), 2019, Peer-reviewed
      • Random Feature Maps for the Itemset Kernel.
        Kyohei Atarashi; Subhransu Maji; Satoshi Oyama
        The Thirty-Third AAAI Conference on Artificial Intelligence(AAAI), 2019, Peer-reviewed, Lead author
      • Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges.
        Yukino Baba; Tomoumi Takase; Kyohei Atarashi; Satoshi Oyama; Hisashi Kashima
        Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18)(AAAI), 2018, Peer-reviewed
      • Semi-Supervised Learning From Crowds Using Deep Generative Models.
        Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara
        Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18)(AAAI), 2018, Peer-reviewed, Lead author
      • A Deep Neural Network for Pairwise Classification: Enabling Feature Conjunctions and Ensuring Symmetry.
        Kyohei Atarashi; Satoshi Oyama; Masahito Kurihara; Kazune Furudo
        Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, 2017, Peer-reviewed

      Awards

      • 22 Mar. 2018
        精密工学会北海道支部 学生奨励賞
      • 05 Oct. 2019
        情報処理学会北海道支部 研究奨励賞
      • 25 Mar. 2021
        北海道大学大学院情報科学院 学院長賞
      • 26 Nov. 2020
        IBISML研究会賞 ファイナリスト

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