Kyohei Atarashi

According to our database, Kyohei Atarashi authored at least 12 papers between 2017 and 2022.

Collaborative distances:

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

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