
Research
Publications
Category
Research Area
Year
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Improving Reference Image Replication for Tuning-Free Personalized Image Generation
大坂洋豊, 鈴木雅大, 松尾豊
情報処理学会論文誌
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A Systematic Analysis of Factuality Bias in Large-Scale Image Language Models
冨山翔司、山下佳威、 鈴木雅大、 落合桂一、松尾豊
情報処理学会論文誌
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Efficient Object-Centric Representation Learning using Masked Generative Modeling
Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo
Transactions on Machine Learning Research (TMLR)
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Proposal of a multimodal translation method based on the usage of images at the summary level.
冨山翔司, 味曽野雅史, 鈴木雅大, 落合桂一, 岩澤有祐, 松尾豊
知能と情報
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The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities
Manato Yaguchi(*) , Kotaro Sakamoto(*) , Ryosuke Sakamoto(*) , Masato Tanabe(*) , Masatomo Akagawa(*) , Yusuke Hayashi(*) , Masahiro Suzuki, Yutaka Matsuo “The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities”. Transactions on Machine Learning Research (TMLR). (*) Equal Contribution
Transactions on Machine Learning Research (TMLR)
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Disappearance of Timestep Embedding: A Case Study on Neural ODE and Diffusion Models
Bum Jun Kim, Yoshinobu Kawahara, Sang Woo Kim
Transactions on Machine Learning Research (TMLR)
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Continual Pre-training on Character-Level Noisy Texts Makes Decoder-based Language Models Robust Few-shot Learners
Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
Transactions of the Association for Computational Linguistics (TACL)
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Bridging Lottery Ticket and Grokking: Understanding Grokking from the Inner Structure of Networks
Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
Transactions on Machine Learning Research (TMLR)
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Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web
Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur.
Transactions on Machine Learning Research (TMLR).
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Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials
Hiroki Furuta, Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
Transactions on Machine Learning Research (TMLR).