Research

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    Research Area

    Year

    • 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.

    • 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. 

    • 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).