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Publication search results
found 64 matches
- 2024
- 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 - 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 - 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) - Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Artwork Explanation in Large-scale Vision Language Models. CoRR abs/2403.00068 (2024) - 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) - Ken Nishida, Kojiro Machi, Kazuma Onishi, Katsuhiko Hayashi, Hidetaka Kamigaito:
Multi-label Learning with Random Circular Vectors. CoRR abs/2407.05656 (2024) - 2023
- 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) - 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 - Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Model-based Subsampling for Knowledge Graph Completion. IJCNLP (1) 2023: 910-920 - 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) - Katsuhiko Hayashi:
Using Wikipedia Editor Information to Build High-performance Recommender Systems. CoRR abs/2306.08636 (2023) - Katsuhiko Hayashi, Kazuma Onishi:
Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation. CoRR abs/2308.13536 (2023) - Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Model-based Subsampling for Knowledge Graph Completion. CoRR abs/2309.09296 (2023) - 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
- Takahide Hayashida, Ryutaro Tanaka, Katsuhiko Sekiya, Keiji Yamada:
Effect of Cutting Fluid on Tool Wear in Finished Surface Formation Area of Rounded Nosed Tool When Turning Alloy 304. Int. J. Autom. Technol. 16(5): 528-535 (2022) - Hidetaka Kamigaito, Katsuhiko Hayashi:
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning. ICML 2022: 10661-10675 - Katsuhiko Hayashi:
Rethinking Correlation-based Item-Item Similarities for Recommender Systems. SIGIR 2022: 2287-2291 - Hidetaka Kamigaito, Katsuhiko Hayashi:
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning. CoRR abs/2206.10140 (2022) - Hidetaka Kamigaito, Katsuhiko Hayashi:
Subsampling for Knowledge Graph Embedding Explained. CoRR abs/2209.12801 (2022) - 2021
- 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 - 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 - 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 - 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
- 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 - Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo:
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings. EMNLP (Findings) 2020: 109-114 - Namgi Han, Katsuhiko Hayashi, Yusuke Miyao:
Analyzing Word Embedding Through Structural Equation Modeling. LREC 2020: 1823-1832 - Seigo Ohno, Katsuhiko Miyamoto, Shin'ichiro Hayashi, Norihiko Sekine:
High Speed Measurement in Spectral Drill using Q-plate and Camera. PHOTOPTICS 2020: 97-99 - Katsuhiko Ishiguro, Kenta Oono, Kohei Hayashi:
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks. CoRR abs/2006.06909 (2020) - 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) - 2019
- Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani:
Binarized Knowledge Graph Embeddings. ECIR (1) 2019: 181-196
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