Research

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    • Publications

    Category

    Research Area

    Year

    • Awards
      computer-vision LLM / NLP

      25th Symposium on Image Recognition and Understanding (MIRU2022) MIRU Excellence Award: Pixel vs. Object: A Study on Optimal Image Representation in Change Capture

      土居健人, 濱口竜平, 岩澤有祐, 大西正輝, 松尾豊, 櫻田健,

    • International Conferences
      World Model

      Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following

      Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

      Workshop on Novel Ideas in Learning-to-Learn through Interaction, EMNLP 2021.

    • International Conferences
      Computer Vision Representation Learning Theory

      Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization

      Yusuke Iwasawa, and Yutaka Matsuo.

      Advances in Neural Information Processing Systems 2021 (NeurIPS2021, Spotlight). December 2021.

    • International Conferences
      Reinforcement Learning Representation Learning Theory

      Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning

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

      Advances in Neural Information Processing Systems 2021 (NeurIPS2021). December 2021.

    • Press
      Brain-Inspired Intelligence

      Computational functions of the brain as seen through anatomical structures

      日本神経回路学会誌, Vol.28, No.4

    • International Conferences
      LLM / NLP

      AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages

      Machel Reid, Junjie Hu, Graham Neubig and Yutaka Matsuo

      The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). November 2021. Association for Computational Linguistics.

    • International Conferences
      LLM / NLP

      Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers

      Machel Reid, Edison Marrese-Taylor and Yutaka Matsuo.

      Findings of The 2021 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2021). Association for Computational Linguistics. 

    • Journals
      Representation Learning 理論

      Information-theoretic regularization for learning global features by sequential VAE

      Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo

      Mach Learn (2021)

    • Journals
      Brain-Inspired Intelligence

      The whole brain architecture approach: Accelerating the developmentof artificial general intelligence by referring to the brain

      Hiroshi Yamakawa

      Neural Networks (2021)

    • Journals
      AI一般

      Bypassing combinatorial explosions in equivalence structure extraction

      Seiya Sato & Hiroshi Yamakawa

      Knowledge and Information Systems (2021)