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ORCIDKatsuhiko Hayashi 0001
Person information
- affiliation: RIKEN, Tokyo, Japan
- affiliation: University of Tokyo, Japan
- affiliation (former): Gunma University, Japan
- affiliation (former): Osaka University, Japan
Other persons with the same name
- Katsuhiko Hayashi — disambiguation page
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2020 – today
- 2025
[c34]Kazuki Hayashi, Kazuma Onishi, Toma Suzuki, Yusuke Ide, Seiji Gobara, Shigeki Saito, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
IRR: Image Review Ranking Framework for Evaluating Vision-Language Models. COLING 2025: 9939-9956- [i24]Takashi Harada, Takehiro Motomitsu, Katsuhiko Hayashi, Yusuke Sakai, Hidetaka Kamigaito:
Can Impressions of Music be Extracted from Thumbnail Images? CoRR abs/2501.02511 (2025) - 2024
- [c33]Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Towards Artwork Explanation in Large-scale Vision Language Models. ACL (Short Papers) 2024: 705-729 - [c32]Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion? NAACL-HLT 2024: 8091-8106 - [i23]Shigeki Saito, Kazuki Hayashi, Yusuke Ide, Yusuke Sakai, Kazuma Onishi, Toma Suzuki, Seiji Gobara, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Evaluating Image Review Ability of Vision Language Models. CoRR abs/2402.12121 (2024) - [i22]Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Artwork Explanation in Large-scale Vision Language Models. CoRR abs/2403.00068 (2024) - [i21]Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding. CoRR abs/2407.04251 (2024) - [i20]Ken Nishida, Kojiro Machi, Kazuma Onishi, Katsuhiko Hayashi, Hidetaka Kamigaito:
Multi-label Learning with Random Circular Vectors. CoRR abs/2407.05656 (2024) - [i19]Shintaro Ozaki, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models. CoRR abs/2409.01584 (2024) - [i18]Hidetaka Kamigaito, Hiroyuki Deguchi, Yusuke Sakai, Katsuhiko Hayashi, Taro Watanabe:
Theoretical Aspects of Bias and Diversity in Minimum Bayes Risk Decoding. CoRR abs/2410.15021 (2024) - [i17]Siyuan Feng, Teruya Yoshinaga, Katsuhiko Hayashi, Koki Washio, Hidetaka Kamigaito:
How Panel Layouts Define Manga: Insights from Visual Ablation Experiments. CoRR abs/2412.19141 (2024) - [i16]Shintaro Ozaki, Yuta Kato, Siyuan Feng, Masayo Tomita, Kazuki Hayashi, Ryoma Obara, Masafumi Oyamada, Katsuhiko Hayashi, Hidetaka Kamigaito, Taro Watanabe:
Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain. CoRR abs/2412.20309 (2024) - 2023
- [j3]Katsuhiko Hayashi
, Koki Kishimoto, Masashi Shimbo:
Binarized Embeddings for Fast, Space-Efficient Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 35(1): 141-153 (2023) - [c31]Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models. ACL (2) 2023: 1904-1917 - [c30]Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Model-based Subsampling for Knowledge Graph Completion. IJCNLP (1) 2023: 910-920 - [i15]Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models. CoRR abs/2306.02115 (2023) - [i14]Katsuhiko Hayashi:
Using Wikipedia Editor Information to Build High-performance Recommender Systems. CoRR abs/2306.08636 (2023) - [i13]Katsuhiko Hayashi, Kazuma Onishi:
Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation. CoRR abs/2308.13536 (2023) - [i12]Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Model-based Subsampling for Knowledge Graph Completion. CoRR abs/2309.09296 (2023) - [i11]Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion? CoRR abs/2311.09109 (2023) - 2022
- [c29]Hidetaka Kamigaito, Katsuhiko Hayashi:
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning. ICML 2022: 10661-10675 - [c28]Katsuhiko Hayashi:
Rethinking Correlation-based Item-Item Similarities for Recommender Systems. SIGIR 2022: 2287-2291 - [i10]Hidetaka Kamigaito, Katsuhiko Hayashi:
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning. CoRR abs/2206.10140 (2022) - [i9]Hidetaka Kamigaito, Katsuhiko Hayashi:
Subsampling for Knowledge Graph Embedding Explained. CoRR abs/2209.12801 (2022) - 2021
- [c27]Hidetaka Kamigaito, Katsuhiko Hayashi:
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding. ACL/IJCNLP (1) 2021: 5517-5531 - [c26]Takahiro Kondo, Koki Washio, Katsuhiko Hayashi, Yusuke Miyao:
Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes. ArgMining@EMNLP 2021: 112-124 - [c25]Kazunori Komatani, Yuma Fujioka, Keisuke Nakashima, Katsuhiko Hayashi, Mikio Nakano:
Knowledge Graph Completion-based Question Selection for Acquiring Domain Knowledge through Dialogues. IUI 2021: 531-541 - [i8]Hidetaka Kamigaito, Katsuhiko Hayashi:
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding. CoRR abs/2106.07250 (2021) - 2020
- [c24]Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. NLP4COVID@EMNLP 2020 - [c23]Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo:
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings. EMNLP (Findings) 2020: 109-114 - [c22]Namgi Han, Katsuhiko Hayashi, Yusuke Miyao:
Analyzing Word Embedding Through Structural Equation Modeling. LREC 2020: 1823-1832 - [i7]Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. CoRR abs/2008.01523 (2020)
2010 – 2019
- 2019
- [c21]Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani:
Binarized Knowledge Graph Embeddings. ECIR (1) 2019: 181-196 - [c20]Katsuhiko Hayashi, Masashi Shimbo:
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs. EMNLP/IJCNLP (1) 2019: 2422-2430 - [i6]Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani:
Binarized Knowledge Graph Embeddings. CoRR abs/1902.02970 (2019) - [i5]Katsuhiko Hayashi, Masashi Shimbo:
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs. CoRR abs/1909.01567 (2019) - [i4]Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo:
Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion. CoRR abs/1912.02686 (2019) - 2018
- [c19]Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo:
Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion. AAAI 2018: 3754-3761 - [c18]Takahiro Ishihara, Katsuhiko Hayashi, Hitoshi Manabe, Masashi Shimbo, Masaaki Nagata:
Neural Tensor Networks with Diagonal Slice Matrices. NAACL-HLT 2018: 506-515 - [c17]Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata:
Higher-Order Syntactic Attention Network for Longer Sentence Compression. NAACL-HLT 2018: 1716-1726 - [c16]Tomoki Matsuno, Katsuhiko Hayashi, Takahiro Ishihara, Hitoshi Manabe, Yuji Matsumoto:
Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices. PACLIC 2018 - [i3]Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo:
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion. CoRR abs/1808.08361 (2018) - [i2]Tomoki Matsuno, Katsuhiko Hayashi, Takahiro Ishihara, Hitoshi Manabe, Yuji Matsumoto:
Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices. CoRR abs/1810.08307 (2018) - 2017
- [c15]Katsuhiko Hayashi, Masashi Shimbo:
On the Equivalence of Holographic and Complex Embeddings for Link Prediction. ACL (2) 2017: 554-559 - [c14]Katsuhiko Hayashi, Masaaki Nagata:
K-best Iterative Viterbi Parsing. EACL (2) 2017: 305-310 - [c13]Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Hiroya Takamura, Manabu Okumura, Masaaki Nagata:
Supervised Attention for Sequence-to-Sequence Constituency Parsing. IJCNLP(2) 2017: 7-12 - [c12]Takaaki Tanaka, Katsuhiko Hayashi, Masaaki Nagata:
Hierarchical Word Structure-based Parsing: A Feasibility Study on UD-style Dependency Parsing in Japanese. IWPT 2017: 56-60 - [i1]Katsuhiko Hayashi, Masashi Shimbo:
On the Equivalence of Holographic and Complex Embeddings for Link Prediction. CoRR abs/1702.05563 (2017) - 2016
- [j2]Katsuhiko Hayashi, Jun Suzuki, Masaaki Nagata:
Shift-reduce Spinal TAG Parsing with Dynamic Programming. Inf. Media Technol. 11: 93-100 (2016) - [c11]Katsuhiko Hayashi, Masaaki Nagata:
Empty element recovery by spinal parser operations. ACL (2) 2016 - [c10]Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata:
Empirical comparison of dependency conversions for RST discourse trees. SIGDIAL Conference 2016: 128-136 - 2015
- [c9]Sho Hoshino, Yusuke Miyao, Katsuhito Sudoh, Katsuhiko Hayashi, Masaaki Nagata:
Discriminative Preordering Meets Kendall's Tau Maximization. ACL (2) 2015: 139-144 - [c8]Yasuhisa Yoshida, Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata:
Hybrid Approach to PDTB-styled Discourse Parsing for CoNLL-2015. CoNLL Shared Task 2015: 95-99 - 2014
- [c7]Katsuhito Sudoh, Graham Neubig, Kevin Duh, Katsuhiko Hayashi:
NTT-NAIST syntax-based SMT systems for IWSLT 2014. IWSLT (Evaluation Campaign) 2014 - 2013
- [j1]Katsuhiko Hayashi, Shuhei Kondo, Yuji Matsumoto:
Efficient Stacked Dependency Parsing by Forest Reranking. Trans. Assoc. Comput. Linguistics 1: 139-150 (2013) - [c6]Katsuhiko Hayashi, Katsuhito Sudoh, Hajime Tsukada, Jun Suzuki, Masaaki Nagata:
Shift-Reduce Word Reordering for Machine Translation. EMNLP 2013: 1382-1386 - 2012
- [c5]Katsuhiko Hayashi, Taro Watanabe, Masayuki Asahara, Yuji Matsumoto:
Head-driven Transition-based Parsing with Top-down Prediction. ACL (1) 2012: 657-665 - [c4]Katsuhiko Hayashi, Lukas Pichl, Taisei Kaizoji:
Heteroskedastic Regression and Persistence in Random Walks at Tokyo Stock Exchange. ISNN (2) 2012: 566-574 - 2011
- [c3]Katsuhiko Hayashi, Taro Watanabe, Masayuki Asahara, Yuji Matsumoto:
Third-order Variational Reranking on Packed-Shared Dependency Forests. EMNLP 2011: 1479-1488 - 2010
- [c2]Katsuhiko Hayashi, Hajime Tsukada, Katsuhito Sudoh, Kevin Duh, Seiichi Yamamoto:
Hierarchical Phrase-based Machine Translation with Word-based Reordering Model. COLING 2010: 439-446
2000 – 2009
- 2009
- [c1]Katsuhiko Hayashi, Taro Watanabe, Hajime Tsukada, Hideki Isozaki:
Structural support vector machines for log-linear approach in statistical machine translation. IWSLT 2009: 144-151
Coauthor Index
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