‪Momose Oyama‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	5	5
h-index	2	2
i10-index	0	0

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4

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Co-authors

Hidetoshi ShimodairaKyoto UniversityVerified email at i.kyoto-u.ac.jp
Hiroaki YamagiwaP.h.D student, Kyoto UniversityVerified email at sys.i.kyoto-u.ac.jp
Sho YokoiTohoku University, RIKENVerified email at tohoku.ac.jp

Momose Oyama

Momose Oyama

Kyoto University

Verified email at sys.i.kyoto-u.ac.jp - Homepage

Machine Learning Natural Language Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Norm of Word Embedding Encodes Information Gain M Oyama, S Yokoi, H Shimodaira Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2022	3	2022
Discovering Universal Geometry in Embeddings with ICA H Yamagiwa, M Oyama, H Shimodaira Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023	2	2023
Analogy Tasks in BioConceptVec using Biological Pathways H Yamagiwa, R Hashimoto, K Arakane, K Murakami, M Oyama, ... IEICE Technical Report; IEICE Tech. Rep. 123 (91), 113-120, 2023		2023
A Mechanism of Implicit Regularization in Deep Learning M Kubo, G Sugiura, K Shinzato, M Oyama		2019

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Articles 1–4