| Fast lasso algorithm via selective coordinate descent Y Fujiwara, Y Ida, H Shiokawa, S Iwamura Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence …, 2016 | 22 | 2016 |
| 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 | 20 | 2015 |
| 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 | 10 | 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 | 8 | 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 | 8 | 2014 |
| 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 | 8 | 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 | 7 | 2013 |
| Fast Sparse Group Lasso Y Ida, Y Fujiwara, H Kashima Advances in Neural Information Processing Systems, 1702-1710, 2019 | 6 | 2019 |
| Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining Y Ida, Y Fujiwara 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 2 | 2019 |
| Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks S Kanai, Y Ida, Y Fujiwara, M Yamada, S Adachi Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4394-4403, 2020 | 1 | 2020 |
| Efficient Data Point Pruning for One-Class SVM Y Fujiwara, S Kanai, J Arai, Y Ida, N Ueda Proceedings of the AAAI Conference on Artificial Intelligence 33, 3590-3597, 2019 | 1 | 2019 |
| Adaptive Data Pruning for Support Vector Machines Y Fujiwara, J Arai, S Kanai, Y Ida, N Ueda 2018 IEEE International Conference on Big Data (Big Data), 683-692, 2018 | 1 | 2018 |
| 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 | | 2020 |
| Constraining Logits by Bounded Function for Adversarial Robustness S Kanai, M Yamada, S Yamaguchi, H Takahashi, Y Ida arXiv preprint arXiv:2010.02558, 2020 | | 2020 |
| 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 | | 2020 |
| Improving Generalization Performance of Adaptive Learning Rate by Switching from Block Diagonal Matrix Preconditioning to SGD Y Ida, Y Fujiwara 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | | 2020 |
| Model Compression for ResNet via Layer Erasure and Re-training Y Ida, Y Fujiwara Transactions of the Japanese Society for Artificial Intelligence 35 (3), C-JA3, 2020 | | 2020 |
| 層の削除と再学習による ResNet のモデル圧縮 井田安俊， 藤原靖宏 人工知能学会論文誌 35 (3), C-JA3_1-10, 2020 | | 2020 |
| Model Compression for ResNet via Layer Erasure and Re-training 層の削除と再学習による ResNet のモデル圧縮 Y Ida, Y Fujiwara | | 2020 |
| 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 | | 2019 |
Yasuhiro FujiwaraNTT確認したメール アドレス: lab.ntt.co.jp
