Research
研究
研究業績
カテゴリー
研究領域
年
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Fixing the train-test objective discrepancy: Iterative Image Inpainting for Unsupervised Anomaly Detection
Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matuo.
J-Stage in August Vol.30, (2022).
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Hippocampal formation-inspired probabilistic generative model
Taniguchi, A., Fukawa, A., & Yamakawa,H
Neural Networks: The Official Journal of the International Neural Network Society.(2022)
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A whole brain probabilistic generative model: Toward realizingcognitive architectures for developmental robots
Taniguchi, T., Yamakawa, H., Nagai, T., Doya, K., Sakagami, M., Suzuki, M., Nakamura, T., & Taniguchi, A
Neural Networks: The Official Journal of the International Neural Network Society.(2022)
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Conveying Intention by Motions With Awareness of Information Asymmetry
Fukuchi, Y., Osawa, M., Yamakawa, H., Takahashi, T., & Imai, M
Frontiers in Robotics and AI, 9. (2022)
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Universal Approximation with Neural Networks on Function Spaces
Wataru Kumagai, Akiyoshi Sannai, Makoto Kawano
Journal of Experimental & Theoretical Artificial Intelligence.(2022)
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A survey of multimodal deep generative models
Masahiro Suzuki, Yutaka Matsuo
Advanced Robotics.(2022)
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Transformerと自己教師あり学習を用いたシーン解釈手法の提案
小林 由弥 鈴木 雅大 松尾 豊
第37巻2号 J-STAGE, (2022)
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LSTMモデルによる金融経済レポートの指数化
山本裕樹, 落合桂一, 鈴木雅大, 松尾豊
情報処理学会論文誌トランザクションデジタルプラクティス (2022)
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On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing
Itsuki Okimura, Machel Reid, Makoto Kawano and Yutaka Matsuo.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, Online and Dublin, Ireland. Association for Computational Linguistics. Best Paper Award
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Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
Takeshi Kojima, Yutaka Matsuo, and Yusuke Iwasawa.
the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022)