| 2026 | AAAI | Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models. | Tianxiao Cao, Kyohei Atarashi, Hisashi Kashima |
| 2026 | ACL | MAPLE: Multi-Aspect Panels of LLM Evaluators for Open-Ended Questions. | Michinori Jinji, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima |
| 2026 | AIED | Estimating Learners' Skill Acquisition Without Temporal Information. | Ryosuke Nagai, Kyohei Atarashi, Koh Takeuchi, Jill-Jnn Vie, Hisashi Kashima |
| 2026 | ICPR | Privacy-Preserving Image Annotation by Large Multimodal Models. | Yuki Wakai, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima |
| 2025 | IJCNLP | 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 |
| 2021 | PAKDD | Vertical Federated Learning for Higher-Order Factorization Machines. | Kyohei Atarashi, Masakazu Ishihata |
| 2019 | AAAI | Random Feature Maps for the Itemset Kernel. | Kyohei Atarashi, Subhransu Maji, Satoshi Oyama |
| 2019 | IJCAI | A Personalized Affect Response Model for Online News Articles. | Kyohei Atarashi, Akimi Moriyama, Satoshi Oyama, Masahito Kurihara |
| 2018 | AAAI | Semi-Supervised Learning From Crowds Using Deep Generative Models. | Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara |
| 2018 | AAAI | Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. | Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima |
| 2017 | PAKDD | A Deep Neural Network for Pairwise Classification: Enabling Feature Conjunctions and Ensuring Symmetry. | Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara, Kazune Furudo |