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ORCIDKyohei Atarashi
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2020 – today
- 2026
[c10]Tianxiao Cao, Kyohei Atarashi, Hisashi Kashima:
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models. AAAI 2026: 19907-19915- [i8]Shunki Uebayashi, Kento Masui, Kyohei Atarashi, Han Bao, Hisashi Kashima, Naoto Inoue, Mayu Otani, Koh Takeuchi:
Evaluating Cross-Modal Reasoning Ability and Problem Characteristics with Multimodal Item Response Theory. CoRR abs/2603.02663 (2026) - 2025
- [c9]Lijia Liu, Takumi Kondo, Kyohei Atarashi, Koh Takeuchi, Jiyi Li, Shigeru Saito, Hisashi Kashima:
Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems. IJCNLP-AACL (long papers) 2025: 572-584 - [i7]Joon Park, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima:
Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs. CoRR abs/2502.12462 (2025) - [i6]Yaqi Sun, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima:
Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models. CoRR abs/2502.16842 (2025) - [i5]Kyohei Atarashi, Satoshi Oyama, Hiromi Arai, Hisashi Kashima:
Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration. CoRR abs/2506.10572 (2025) - [i4]Lijia Liu, Takumi Kondo, Kyohei Atarashi, Koh Takeuchi, Jiyi Li, Shigeru Saito, Hisashi Kashima:
Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems. CoRR abs/2507.23453 (2025) - [i3]Tianxiao Cao, Kyohei Atarashi, Hisashi Kashima:
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models. CoRR abs/2508.10435 (2025) - [i2]Xiaoyang Xu, Xiaofeng Lin, Koh Takeuchi, Kyohei Atarashi, Hisashi Kashima:
Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs. CoRR abs/2509.17400 (2025) - 2022
- [j4]Hiroki Morise, Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara:
Neural collaborative filtering with multicriteria evaluation data. Appl. Soft Comput. 119: 108548 (2022) - 2021
- [j3]Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara:
Factorization Machines with Regularization for Sparse Feature Interactions. J. Mach. Learn. Res. 22: 153:1-153:50 (2021) - [j2]Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
:
Sparse random feature maps for the item-multiset kernel. Neural Networks 143: 500-514 (2021) - [c8]Kyohei Atarashi, Masakazu Ishihata:
Vertical Federated Learning for Higher-Order Factorization Machines. PAKDD (2) 2021: 346-357 - 2020
- [j1]Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara:
Link Prediction Using Higher-Order Feature Combinations across Objects. IEICE Trans. Inf. Syst. 103-D(8): 1833-1842 (2020) - [c7]Kazuma Itakura, Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara:
Adapting the Learning Rate of the Learning Rate in Hypergradient Descent. SCIS/ISIS 2020: 1-6 - [c6]Kazuki Toda, Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara:
Unsupervised Feature Learning for Output Control of Generative Models. SCIS/ISIS 2020: 1-6 - [i1]Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara:
Factorization Machines with Regularization for Sparse Feature Interactions. CoRR abs/2010.09225 (2020)
2010 – 2019
- 2019
- [c5]Kyohei Atarashi, Subhransu Maji, Satoshi Oyama:
Random Feature Maps for the Itemset Kernel. AAAI 2019: 3199-3206 - [c4]Kyohei Atarashi, Akimi Moriyama, Satoshi Oyama, Masahito Kurihara:
A Personalized Affect Response Model for Online News Articles. LaCATODA/BtG@IJCAI 2019: 5-10 - 2018
- [c3]Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara:
Semi-Supervised Learning From Crowds Using Deep Generative Models. AAAI 2018: 1555-1562 - [c2]Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima:
Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. AAAI 2018: 7887-7892 - 2017
- [c1]Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara, Kazune Furudo:
A Deep Neural Network for Pairwise Classification: Enabling Feature Conjunctions and Ensuring Symmetry. PAKDD (1) 2017: 83-95
Coauthor Index
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