Kyohei Atarashi

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 13

Top Topics

Unsupervised Feature Learning

Pairwise Classification

Top Venues

IEICE Trans. Inf. Syst.

Publications

Hiroki Morise, Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Neural collaborative filtering with multicriteria evaluation data. Appl. Soft Comput. 119 (2022)
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Sparse random feature maps for the item-multiset kernel. Neural Networks 143 (2021)
Kyohei Atarashi, Masakazu Ishihata
Vertical Federated Learning for Higher-Order Factorization Machines. PAKDD (2) (2021)
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Factorization Machines with Regularization for Sparse Feature Interactions. J. Mach. Learn. Res. 22 (2021)
Kazuki Toda, Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Unsupervised Feature Learning for Output Control of Generative Models. SCIS/ISIS (2020)
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Link Prediction Using Higher-Order Feature Combinations across Objects. IEICE Trans. Inf. Syst. (8) (2020)
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Factorization Machines with Regularization for Sparse Feature Interactions. CoRR (2020)
Kazuma Itakura, Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Adapting the Learning Rate of the Learning Rate in Hypergradient Descent. SCIS/ISIS (2020)
Kyohei Atarashi, Akimi Moriyama, Satoshi Oyama, Masahito Kurihara
A Personalized Affect Response Model for Online News Articles. LaCATODA/BtG@IJCAI (2019)
Kyohei Atarashi, Subhransu Maji, Satoshi Oyama
Random Feature Maps for the Itemset Kernel. AAAI (2019)
Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima
Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. AAAI (2018)
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Semi-Supervised Learning From Crowds Using Deep Generative Models. AAAI (2018)
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara, Kazune Furudo
A Deep Neural Network for Pairwise Classification: Enabling Feature Conjunctions and Ensuring Symmetry. PAKDD (1) (2017)