| Adaptive stochastic natural gradient method for one-shot neural architecture search Y Akimoto, S Shirakawa, N Yoshinari, K Uchida, S Saito, K Nishida International Conference on Machine Learning, 171-180, 2019 | 113 | 2019 |
| CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization R Hamano, S Saito, M Nomura, S Shirakawa Proceedings of the genetic and evolutionary computation conference, 639-647, 2022 | 44 | 2022 |
| Embedded feature selection using probabilistic model-based optimization S Saito, S Shirakawa, Y Akimoto Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 11 | 2018 |
| Controlling model complexity in probabilistic model-based dynamic optimization of neural network structures S Saito, S Shirakawa International Conference on Artificial Neural Networks, 393-405, 2019 | 8 | 2019 |
| Optimization of H0 photonic crystal nanocavity using neural network R Abe, T Takeda, R Shiratori, S Shirakawa, S Saito, T Baba 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 …, 2019 | 3 | 2019 |
| Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization K Uchida, S Saito, PD Pamungkasari, Y Kawai, IF Hanoum, FH Juwono, ... Advances in Visual Computing: 14th International Symposium on Visual …, 2019 | 2 | 2019 |
| Probabilistic Model-Based Dynamic Architecture Search N Yoshinari, K Uchida, S Saito, S Shirakawa, Y Akimoto | 1 | 2019 |
| Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network K Nishida, H Aguirre, S Saito, S Shirakawa, Y Akimoto arXiv:1809.06517, 2018 | 1 | 2018 |
| Embryo Grade Prediction for In-Vitro Fertilization PD Pamungkasari, K Uchida, S Saito, FH Juwono, IF Hanoum, ... Deep Learning for Biomedical Applications, 21-40, 2021 | | 2021 |
Shinichi ShirakawaYokohama National Universityynu.ac.jp의 이메일 확인됨