Research
研究
研究業績
カテゴリー
研究領域
年
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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.
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解剖学的構造から見える脳の計算機能
日本神経回路学会誌, Vol.28, No.4
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上位オントロジーの主要概念の捉え方の整理
田和辻可昌, 荒川直哉, 山川宏
人工知能学会SWO研究会
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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.
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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.
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Information-theoretic regularization for learning global features by sequential VAE
Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
Mach Learn (2021)
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The whole brain architecture approach: Accelerating the developmentof artificial general intelligence by referring to the brain
Hiroshi Yamakawa
Neural Networks (2021)
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2020年度人工知能学会研究会優秀賞
篠田一聡, 竹澤祐貴, 鈴木雅大, 岩澤有祐, 松尾豊
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Bypassing combinatorial explosions in equivalence structure extraction
Seiya Sato & Hiroshi Yamakawa
Knowledge and Information Systems (2021)
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行動時刻を考慮した条件付き変分オートエンコーダによる推薦システム
保住純，岩澤有祐，松尾豊
人工知能学会論文誌，Vol. 36，No. 3 (2021)