Research

  • Home
  • Publications
  • International Conferences

    • Publications

    Category

    Research Area

    Year

    • 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]

    • International Conferences
      Generative Model Representation Learning Theory

      Group Equivariant Conditional Neural Processes

      Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, and Yutaka Matsuo.

      International Conference on Learning Representations 2021 (ICLR2021).

    • International Conferences
      Reinforcement Learning Robotics

      Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization

      Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, and Shixiang Shane Gu.

      International Conference on Learning Representations 2021 (ICLR2021).

    • International Conferences
      LLM / NLP

      Variational Inference for Learning Representations of Natural Language Edits

      Edison Marrese-Taylor, Machel Reid and Yutaka Matsuo.

      The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). February 2021.