Research

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    • The 23rd Session of the Society of Instrument and Control Engineers, Systems Integration Division (SI2022)Best Presentation Award: Consideration of Data-Driven Service Robot System and its Development Process in WRS2020 Partner Robot Challenge

      松嶋達也, 野口裕貴, 有馬純平, 原田憲旺, 青木俊樹, 沖田祐樹, 池田悠也, 石本幸暉, 谷口尚平, 山下優樹, 瀬戸翔一, GU Shixiang Shane, 岩澤有祐, 松尾豊,

    • Nov. 2022 Best Poster Award, HSR Community, Research Special Committee on Intelligent Home Robotics, The Robotics Society of Japan

      松嶋 達也ほか

    • 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,

    • 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.

    • 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.

    • 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.

    • Computational functions of the brain as seen through anatomical structures

      日本神経回路学会誌, Vol.28, No.4

    • 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.

    • 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. 

    • Information-theoretic regularization for learning global features by sequential VAE

      Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo

      Mach Learn (2021)