Yasutoshi Ida
Yasutoshi Ida
Verified email at lab.ntt.co.jp - Homepage
Cited by
Cited by
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
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
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
Fast Sparse Group Lasso
Y Ida, Y Fujiwara, H Kashima
Advances in Neural Information Processing Systems 32, 1700-1708, 2019
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
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
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
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
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
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
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
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
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
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
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
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
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 (01), 3590-3597, 2019
Learning apparatus, learning method, and recording medium
IDA Yasutoshi, Y Fujiwara
US Patent App. 16/092,135, 2019
Learning device, learning method, and learning program
Y Oya, IDA Yasutoshi
US Patent App. 17/049,343, 2021
Pruning Randomly Initialized Neural Networks with Iterative Randomization
D Chijiwa, S Yamaguchi, Y Ida, K Umakoshi, T Inoue
arXiv preprint arXiv:2106.09269, 2021
The system can't perform the operation now. Try again later.
Articles 1–20