Kyohei Atarashi

According to our database, Kyohei Atarashi authored at least 20 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Evaluating Cross-Modal Reasoning Ability and Problem Characteristics with Multimodal Item Response Theory.

Shunki Uebayashi, Kento Masui, Kyohei Atarashi, Han Bao, Hisashi Kashima, Naoto Inoue, Mayu Otani, Koh Takeuchi

CoRR, March, 2026

Estimating Learners' Skill Acquisition Without Temporal Information.

Ryosuke Nagai, Kyohei Atarashi, Koh Takeuchi, Jill-Jênn Vie, Hisashi Kashima

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models.

Tianxiao Cao, Kyohei Atarashi, Hisashi Kashima

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs.

Xiaoyang Xu, Xiaofeng Lin, Koh Takeuchi, Kyohei Atarashi, Hisashi Kashima

CoRR, September, 2025

Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration.

Kyohei Atarashi, Satoshi Oyama, Hiromi Arai, Hisashi Kashima

CoRR, June, 2025

Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models.

Yaqi Sun, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima

CoRR, February, 2025

Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs.

Joon Park, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima

CoRR, February, 2025

Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems.

Lijia Liu, Takumi Kondo, Kyohei Atarashi, Koh Takeuchi, Jiyi Li, Shigeru Saito, Hisashi Kashima

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

2022

Neural collaborative filtering with multicriteria evaluation data.

Hiroki Morise, Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara

Appl. Soft Comput., 2022

2021

Sparse random feature maps for the item-multiset kernel.

Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara

Neural Networks, 2021

Factorization Machines with Regularization for Sparse Feature Interactions.

Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara

J. Mach. Learn. Res., 2021

Vertical Federated Learning for Higher-Order Factorization Machines.

Kyohei Atarashi, Masakazu Ishihata

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

Link Prediction Using Higher-Order Feature Combinations across Objects.

Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara

IEICE Trans. Inf. Syst., 2020

Unsupervised Feature Learning for Output Control of Generative Models.

Kazuki Toda, Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara

Proceedings of the Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020

Adapting the Learning Rate of the Learning Rate in Hypergradient Descent.

Kazuma Itakura, Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara

Proceedings of the Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020

2019

A Personalized Affect Response Model for Online News Articles.

Kyohei Atarashi, Akimi Moriyama, Satoshi Oyama, Masahito Kurihara

Proceedings of the Joint Proceedings of the Workshops on Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2019) and on Bridging the Gap Between Human and Automated Reasoning (BtG 2019) co-located with 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019

Random Feature Maps for the Itemset Kernel.

Kyohei Atarashi, Subhransu Maji, Satoshi Oyama

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges.

Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Semi-Supervised Learning From Crowds Using Deep Generative Models.

Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Deep Neural Network for Pairwise Classification: Enabling Feature Conjunctions and Ensuring Symmetry.

Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara, Kazune Furudo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017