Research

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    Year

    • Journals
      AI Application

      Time-Sequential Variational Conditional Auto-encoders for Recommendation

      保住純，岩澤有祐，松尾豊

      人工知能学会論文誌，Vol. 36，No. 3 (2021)

    • Journals
      Representation Learning 理論

      Out-of-distribution Detection Using Joint Probability between Class and Geometric Transformation

      岡本弘野, 鈴木雅大, 松尾豊

      情報処理学会論文誌, Vol.62, No.7, pp.1382-1392 (2021)

    • Journals
      Representation Learning 理論

      Semi-supervised Out-of-distribution Detection Using Output of Intermediate Layer in Deep Neural Networks

      岡本弘野, 鈴木雅大, 松尾豊

      情報処理学会論文誌, Vol.62, No.4, pp.1142-1151 (2021)

    • International Conferences
      Computer Vision

      Alignment-free Object-level Scene Change Detection using Deep Object Matching

      Kento Doi, Ryuhei Hamaguchi, Yusuke Iwasawa, Masaki Onishi, Yutaka Matsuo, Ken Sakurada.

      IEEE Robotics and Automatation Society (IROS2022)

    • International Conferences
      Reinforcement Learning Representation Learning Theory

      Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning

      Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, and Shixiang Shane Gu

      International Conference on Machine Learning 2021 (ICML2021).

    • International Conferences
      Reinforcement Learning Representation Learning Theory

      Identifying Co-Adaptation of Algorithmic and implementational Innovations in Deep Reinforcement Learning: Taxonomy of Inference-based Algorithms

      Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu.

      International Conference on Machine Learning 2021 (ICML2021).

    • International Conferences
      Reinforcement Learning Representation Learning Theory

      Reward and Optimality Empowerments: Information-Theoretic Measures for Task Complexity in Deep Reinforcement Learning

      Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, and Shixiang Shane Gu.

      International Conference on Machine Learning 2021 (ICML2021). July 2021. [paper]

    • International Conferences
      LLM / NLP

      LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer

      Machel Reid and Victor Zhong

      Findings of the Association for Computational Linguistics: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).

    • International Conferences
      Generative Model Robotics

      Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning

      Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo

      Learning for Dynamics and Control (L4DC)

    • International Conferences
      Computer Vision

      Detecting Object-level Scene Changes with Viewpoint Difference using Graph Matching

      Kento Doi, Ryuhei Hamaguchi, Yusuke Iwasawa, Masaki Onishi, Yutaka Matsuo, Ken Sakurada.

      2021 IEEE International Conference on Robotics and Automation (ICRA2022). May 2021. [paper]