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TypeAuthor(s)TitleOther TitlesCitationCitation(alt)Issue Date
proceedingsItakura, Kazuma; Atarashi, Kyohei; Oyama, Satoshi; Kurihara, MasahitoAdapting the Learning Rate of the Learning Rate in Hypergradient Descent-2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)-Dec-2020
proceedingsToda, Kazuki; Atarashi, Kyohei; Oyama, Satoshi; Kurihara, MasahitoUnsupervised Feature Learning for Output Control of Generative Models-2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)-Dec-2020
articleAtarashi, Kyohei; Oyama, Satoshi; Kurihara, MasahitoLink Prediction Using Higher-Order Feature Combinations across Objects-IEICE transactions on information and systems-Aug-2020
proceedings (author version)Kikuchi, Shoma; Takigawa, Ichigaku; Oyama, Satoshi; Kurihara, MasahitoLearning Relevant Molecular Representations via Self-Attentive Graph Neural Networks-2019 IEEE International Conference on Big Data (Big Data)-2019
proceedings (author version)Sekiya, Ryota; Oyama, Satoshi; Kurihara, MasahitoUser-Adaptive Preparation of Mathematical Puzzles Using Item Response Theory and Deep Learning-Advances and Trends in Artificial Intelligence. From Theory to Practice-2019
proceedings (author version)Song, Jing; Oyama, Satoshi; Kurihara, MasahitoIdentification of Possible Common Causes by Intrinsic Dimension Estimation-2019 IEEE International Conference on Big Data and Smart Computing (BigComp)-2019
proceedings (author version)Atarashi, Kyohei; Subhransu, Maji; Oyama, SatoshiRandom Feature Maps for the Itemset Kernel-Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)-2019
articleTakase, Tomoumi; Oyama, Satoshi; Kurihara, MasahitoWhy Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy from the Viewpoint of Stochastic Optimization-Neural Computation-Jul-2018
article (author version)Takase, Tomoumi; Oyama, Satoshi; Kurihara, MasahitoEffective neural network training with adaptive learning rate based on training loss-NEURAL NETWORKS-May-2018
proceedings (author version)Atarashi, Kyohei; Oyama, Satoshi; Kurihara, MasahitoSemi-supervised Learning from Crowds Using Deep Generative Models-Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)-2018
proceedings (author version)Suzuki, Takafumi; Oyama, Satoshi; Kurihara, MasahitoToward Explainable Recommendations: Generating Review Text from Multicriteria Evaluation Data---2018
proceedings (author version)Baba, Yukino; Takase, Tomoumi; Atarashi, Kyohei; Oyama, Satoshi; Kashima, HisashiData Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges-Proceedings of the Eighth Symposium on Educational Advances in Artificial Intelligence (EAAI-18)-2018
proceedings (author version)Matsui, Taiju; Oyama, Satoshi; Kurihara, MasahitoEffect of Viewing Directions on Deep Reinforcement Learning in 3D Virtual Environment Minecraft-Lecture Notes in Artificial Intelligence (LNAI)-2018
proceedings (author version)Ihara, Hiroyuki; Imai, Shunsuke; Oyama, Satoshi; Kurihara, MasahitoImplementation and Evaluation of Information Set Monte Carlo Tree Search for Pokémon---2018
proceedings (author version)Morise, Hiroki; Oyama, Satoshi; Kurihara, MasahitoCollaborative filtering and rating aggregation based on multicriteria rating---2017
article (author version)Atarashi, Kyohei; Oyama, Satoshi; Kurihara, Masahito; Furudo, KazuneA Deep Neural Network for Pairwise Classification : Enabling Feature Conjunctions and Ensuring Symmetry-Lecture Notes in Computer Science-2017
article (author version)Gando, Gota; Yamada, Taiga; Sato, Haruhiko; Oyama, Satoshi; Kurihara, MasahitoFine-tuning deep convolutional neural networks for distinguishing illustrations from photographs-Expert Systems with Applications-30-Dec-2016
article (author version)Oyama, Satoshi; Baba, Yukino; Ohmukai, Ikki; Dokoshi, Hiroaki; Kashima, HisashiCrowdsourcing chart digitizer : task design and quality control for making legacy open data machine-readable-International Journal of Data Science and Analytics-1-Dec-2016
article鈴木, 雅大; 佐藤, 晴彦; 小山, 聡; 栗原, 正仁; 松尾, 豊属性ごとの観測確率を考慮したゼロショット学習Zero-shot Learning Based on the Observation Probability of Attributes情報処理学会論文誌-May-2016
proceedings (author version)Duan, Lei; Oyama, Satoshi; Sato, Haruhiko; Kurihara, MasahitoMulti-Emotion Estimation in Narratives from Crowdsourced Annotations---2015
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