Research
研究
研究業績
カテゴリー
研究領域
年
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未来の知能とバイアス
2022年度 人工知能学会全国大会（第36回）
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意識のEntification仮説
山川宏, 布川絢子, 松尾豊
2022年度人工知能学会全国大会（第36回）
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PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining
Machel Reid and Mikel Artetxe.
7th Workshop on Representation Learning for NLP (non-archival), ACL 2022.
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Generalized Decision Transformer for Offline Hindsight Infomation Matching
Hiroki Furuta, Yutaka Matsuo, and Shixiang Shane Gu
International Conference on Learning Representations 2022 (ICLR2022, Spotlight).
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Entificationの理論を目指して：世界から存在を取り出す一般的な原理とは
山川宏
人工知能基本問題研究会
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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.
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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.
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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