| Fast lasso algorithm via selective coordinate descent Y Fujiwara, Y Ida, H Shiokawa, S Iwamura Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 32 | 2016 |
| Fast Sparse Group Lasso Y Ida, Y Fujiwara, H Kashima Advances in Neural Information Processing Systems 32, 1700-1708, 2019 | 30 | 2019 |
| Adaptive message update for fast affinity propagation Y Fujiwara, M Nakatsuji, H Shiokawa, Y Ida, M Toyoda Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 27 | 2015 |
| Pruning randomly initialized neural networks with iterative randomization D Chijiwa, S Yamaguchi, Y Ida, K Umakoshi, T Inoue Advances in neural information processing systems 34, 4503-4513, 2021 | 22 | 2021 |
| Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks Y Ida, Y Fujiwara, S Iwamura Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017 | 21 | 2017 |
| Fast algorithm for the lasso based L1-graph construction Y Fujiwara, Y Ida, J Arai, M Nishimura, S Iwamura Proceedings of the VLDB Endowment 10 (3), 229-240, 2016 | 17 | 2016 |
| A bayesian algorithm for anxiety index prediction based on cerebral blood oxygenation in the prefrontal cortex measured by near infrared spectroscopy Y Fukuda, Y Ida, T Matsumoto, N Takemura, K Sakatani IEEE journal of translational engineering in health and medicine 2, 1-10, 2014 | 12 | 2014 |
| Fast similarity computation for t-SNE Y Fujiwara, Y Ida, S Kanai, A Kumagai, N Ueda 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1691-1702, 2021 | 9 | 2021 |
| Fast deterministic CUR matrix decomposition with accuracy assurance Y Ida, S Kanai, Y Fujiwara, T Iwata, K Takeuchi, H Kashima International Conference on Machine Learning, 4594-4603, 2020 | 9 | 2020 |
| Domain-dependent/independent topic switching model for online reviews with numerical ratings Y Ida, T Nakamura, T Matsumoto Proceedings of the 22nd ACM international conference on Information …, 2013 | 9 | 2013 |
| Nonparametric Bayes-based heterogeneous Drosophila melanogaster gene regulatory network inference: T-process regression H Miyashita, T Nakamura, Y Ida, T Matsumoto, T Kaburagi international conference on artificial intelligence and applications …, 2013 | 8 | 2013 |
| Relationship between nonsmoothness in adversarial training, constraints of attacks, and flatness in the input space S Kanai, M Yamada, H Takahashi, Y Yamanaka, Y Ida IEEE Transactions on Neural Networks and Learning Systems, 2023 | 6 | 2023 |
| Smoothness analysis of adversarial training S Kanai, M Yamada, H Takahashi, Y Yamanaka, Y Ida arXiv preprint arXiv:2103.01400, 2021 | 6 | 2021 |
| Few-shot learning for feature selection with hilbert-schmidt independence criterion A Kumagai, T Iwata, Y Ida, Y Fujiwara Advances in Neural Information Processing Systems 35, 9577-9590, 2022 | 5 | 2022 |
| Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks D Chijiwa, S Yamaguchi, A Kumagai, Y Ida Advances in Neural Information Processing Systems 35, 25264-25277, 2022 | 5 | 2022 |
| Fast algorithm for anchor graph hashing Y Fujiwara, S Kanai, Y Ida, A Kumagai, N Ueda Proceedings of the VLDB Endowment 14 (6), 916-928, 2021 | 4 | 2021 |
| Fast random forest algorithm via incremental upper bound Y Fujiwara, Y Ida, S Kanai, A Kumagai, J Arai, N Ueda Proceedings of the 28th ACM International Conference on Information and …, 2019 | 4 | 2019 |
| One-vs-the-rest loss to focus on important samples in adversarial training S Kanai, S Yamaguchi, M Yamada, H Takahashi, K Ohno, Y Ida International Conference on Machine Learning, 15669-15695, 2023 | 3 | 2023 |
| Constraining logits by bounded function for adversarial robustness S Kanai, M Yamada, S Yamaguchi, H Takahashi, Y Ida 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 3 | 2021 |
| Efficient Algorithm for the b-Matching Graph Y Fujiwara, A Kumagai, S Kanai, Y Ida, N Ueda Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 3 | 2020 |
Yasuhiro FujiwaraNTTDirección de correo verificada de lab.ntt.co.jp
