| Transfer anomaly detection by inferring latent domain representations A Kumagai, T Iwata, Y Fujiwara Advances in neural information processing systems 32, 2019 | 52 | 2019 |
| Semi-supervised anomaly detection on attributed graphs A Kumagai, T Iwata, Y Fujiwara 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 43 | 2021 |
| Unsupervised domain adaptation by matching distributions based on the maximum mean discrepancy via unilateral transformations A Kumagai, T Iwata Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4106-4113, 2019 | 35 | 2019 |
| Few-shot learning for time-series forecasting T Iwata, A Kumagai arXiv preprint arXiv:2009.14379, 2020 | 26 | 2020 |
| Meta-learning from tasks with heterogeneous attribute spaces T Iwata, A Kumagai Advances in Neural Information Processing Systems 33, 6053-6063, 2020 | 25 | 2020 |
| Zero-shot domain adaptation without domain semantic descriptors A Kumagai, T Iwata arXiv preprint arXiv:1807.02927, 2018 | 19 | 2018 |
| Learning future classifiers without additional data A Kumagai, T Iwata Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 19 | 2016 |
| SILU: Strategy involving large-scale unlabeled logs for improving malware detector T Nishiyama, A Kumagai, K Kamiya, K Takahashi 2020 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2020 | 15 | 2020 |
| Malware determination device, malware determination system, malware determination method, and program Y Okano, S Orihara, T Abe, H Asakura, A Kumagai US Patent 10,268,820, 2019 | 14 | 2019 |
| Learning dynamics of decision boundaries without additional labeled data A Kumagai, T Iwata Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 14 | 2018 |
| Meta-learning for relative density-ratio estimation A Kumagai, T Iwata, Y Fujiwara Advances in Neural Information Processing Systems 34, 30426-30438, 2021 | 13 | 2021 |
| Learning non-linear dynamics of decision boundaries for maintaining classification performance A Kumagai, T Iwata Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 13 | 2017 |
| Transfer Metric Learning for Unseen Domains A Kumagai, T Iwata, Y Fujiwara 2019 IEEE International Conference on Data Mining (ICDM), 1168-1173, 2019 | 11 | 2019 |
| 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 |
| Recurrent neural networks for learning long-term temporal dependencies with reanalysis of time scale representation K Ohno, A Kumagai 2021 IEEE International Conference on Big Knowledge (ICBK), 182-189, 2021 | 7 | 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 | 6 | 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 | 6 | 2022 |
| Learning optimal priors for task-invariant representations in variational autoencoders H Takahashi, T Iwata, A Kumagai, S Kanai, M Yamada, Y Yamanaka, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 5 | 2022 |
| Few-shot learning for unsupervised feature selection A Kumagai, T Iwata, Y Fujiwara arXiv preprint arXiv:2107.00816, 2021 | 5 | 2021 |
| Adversarial training makes weight loss landscape sharper in logistic regression M Yamada, S Kanai, T Iwata, T Takahashi, Y Yamanaka, H Takahashi, ... arXiv preprint arXiv:2102.02950, 2021 | 5 | 2021 |
Tomoharu IwataNTT在 hco.ntt.co.jp 的电子邮件经过验证
