Yasutoshi Ida

According to our database, Yasutoshi Ida authored at least 33 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Efficient Network Representation Learning via Cluster Similarity.

Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Ueda

Data Sci. Eng., September, 2023

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training.

Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida

Proceedings of the International Conference on Machine Learning, 2023

Fast Block Coordinate Descent for Non-Convex Group Regularizations.

Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks.

Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers.

Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Switching One-Versus-the-Rest Loss to Increase the Margin of Logits for Adversarial Robustness.

Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Yasutoshi Ida

CoRR, 2022

Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion.

Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks.

Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast Binary Network Hashing via Graph Clustering.

Yasuhiro Fujiwara, Masahiro Nakano, Atsutoshi Kumagai, Yasutoshi Ida, Akisato Kimura, Naonori Ueda

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Algorithms for Accelerating Machine Learning with Wide and Deep Models.

Yasutoshi Ida

PhD thesis, 2021

Fast Algorithm for Anchor Graph Hashing.

Yasuhiro Fujiwara, Sekitoshi Kanai, Yasutoshi Ida, Atsutoshi Kumagai, Naonori Ueda

Proc. VLDB Endow., 2021

Smoothness Analysis of Loss Functions of Adversarial Training.

Sekitoshi Kanai, Masanori Yamada, Hiroshi Takahashi, Yuki Yamanaka, Yasutoshi Ida

CoRR, 2021

Pruning Randomly Initialized Neural Networks with Iterative Randomization.

Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Constraining Logits by Bounded Function for Adversarial Robustness.

Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida

Proceedings of the International Joint Conference on Neural Networks, 2021

Fast Similarity Computation for t-SNE.

Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Naonori Ueda

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Fast and Accurate Anchor Graph-based Label Prediction.

Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Sekitoshi Kanai, Naonori Ueda

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Efficient Algorithm for the b-Matching Graph.

Yasuhiro Fujiwara, Atsutoshi Kumagai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Improving Generalization Performance of Adaptive Learning Rate by Switching from Block Diagonal Matrix Preconditioning to SGD.

Yasutoshi Ida, Yasuhiro Fujiwara

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance.

Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima

Proceedings of the 37th International Conference on Machine Learning, 2020

Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks.

Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Fast Sparse Group Lasso.

Yasutoshi Ida, Yasuhiro Fujiwara, Hisashi Kashima

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining.

Yasutoshi Ida, Yasuhiro Fujiwara

Proceedings of the International Joint Conference on Neural Networks, 2019

Fast Random Forest Algorithm via Incremental Upper Bound.

Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Junya Arai, Naonori Ueda

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Efficient Data Point Pruning for One-Class SVM.

Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Adaptive Data Pruning for Support Vector Machines.

Yasuhiro Fujiwara, Junya Arai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks.

Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Fast Algorithm for the Lasso based L1-Graph Construction.

Yasuhiro Fujiwara, Yasutoshi Ida, Junya Arai, Mai Nishimura, Sotetsu Iwamura

Proc. VLDB Endow., 2016

Controlling Exploration Improves Training for Deep Neural Networks.

Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura

CoRR, 2016

Fast Lasso Algorithm via Selective Coordinate Descent.

Yasuhiro Fujiwara, Yasutoshi Ida, Hiroaki Shiokawa, Sotetsu Iwamura

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Adaptive Message Update for Fast Affinity Propagation.

Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Yasutoshi Ida, Machiko Toyoda

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2013

Domain-dependent/independent topic switching model for online reviews with numerical ratings.

Yasutoshi Ida, Takuma Nakamura, Takashi Matsumoto

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Label-Related/Unrelated Topic Switching Model: A Partially Labeled Topic Model Handling Infinite Label-Unrelated Topics.

Yasutoshi Ida, Takuma Nakamura, Takashi Matsumoto

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012

Handling incomplete matrix data via continuous-valued infinite relational model.

Tomohiko Suzuki, Takuma Nakamura, Yasutoshi Ida, Takashi Matsumoto

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012