Yasutoshi Ida

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 38

Top Topics

Adaptive Learning Rate

Covariance Matrix

Top Venues

Publications

Yasuhiro Fujiwara, Atsutoshi Kumagai, Yasutoshi Ida, Masahiro Nakano, Makoto Nakatsuji, Akisato Kimura
Efficient Algorithm for K-Multiple-Means. Proc. ACM Manag. Data 2 (1) (2024)
Sekitoshi Kanai, Masanori Yamada, Hiroshi Takahashi, Yuki Yamanaka, Yasutoshi Ida
Relationship Between Nonsmoothness in Adversarial Training, Constraints of Attacks, and Flatness in the Input Space. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks. AAAI (2023)
Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai
Fast Block Coordinate Descent for Non-Convex Group Regularizations. AISTATS (2023)
Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers. CoRR (2023)
Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Ueda
Efficient Network Representation Learning via Cluster Similarity. DASFAA (3) (2023)
Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training. ICML (2023)
Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers. AAAI (2023)
Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Ueda
Efficient Network Representation Learning via Cluster Similarity. Data Sci. Eng. 8 (3) (2023)
Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks. CoRR (2022)
Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks. NeurIPS (2022)
Yasuhiro Fujiwara, Masahiro Nakano, Atsutoshi Kumagai, Yasutoshi Ida, Akisato Kimura, Naonori Ueda
Fast Binary Network Hashing via Graph Clustering. Big Data (2022)
Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion. NeurIPS (2022)
Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Yasutoshi Ida
Switching One-Versus-the-Rest Loss to Increase the Margin of Logits for Adversarial Robustness. CoRR (2022)
Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks. CoRR (2022)
Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue
Pruning Randomly Initialized Neural Networks with Iterative Randomization. CoRR (2021)
Sekitoshi Kanai, Masanori Yamada, Hiroshi Takahashi, Yuki Yamanaka, Yasutoshi Ida
Smoothness Analysis of Loss Functions of Adversarial Training. CoRR (2021)
Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Naonori Ueda
Fast Similarity Computation for t-SNE. ICDE (2021)
Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue
Pruning Randomly Initialized Neural Networks with Iterative Randomization. NeurIPS (2021)
Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Sekitoshi Kanai, Naonori Ueda
Fast and Accurate Anchor Graph-based Label Prediction. CIKM (2021)
Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida
Constraining Logits by Bounded Function for Adversarial Robustness. IJCNN (2021)
Yasuhiro Fujiwara, Sekitoshi Kanai, Yasutoshi Ida, Atsutoshi Kumagai, Naonori Ueda
Fast Algorithm for Anchor Graph Hashing. Proc. VLDB Endow. 14 (6) (2021)
Yasutoshi Ida, Yasuhiro Fujiwara
Improving Generalization Performance of Adaptive Learning Rate by Switching from Block Diagonal Matrix Preconditioning to SGD. IJCNN (2020)
Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks. AAAI (2020)
Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida
Constraining Logits by Bounded Function for Adversarial Robustness. CoRR (2020)
Yasuhiro Fujiwara, Atsutoshi Kumagai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda
Efficient Algorithm for the b-Matching Graph. KDD (2020)
Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. ICML (2020)
Yasutoshi Ida, Yasuhiro Fujiwara
Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining. CoRR (2019)
Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks. CoRR (2019)
Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda
Efficient Data Point Pruning for One-Class SVM. AAAI (2019)
Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Junya Arai, Naonori Ueda
Fast Random Forest Algorithm via Incremental Upper Bound. CIKM (2019)
Yasutoshi Ida, Yasuhiro Fujiwara
Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining. IJCNN (2019)
Yasutoshi Ida, Yasuhiro Fujiwara, Hisashi Kashima
Fast Sparse Group Lasso. NeurIPS (2019)
Yasuhiro Fujiwara, Junya Arai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda
Adaptive Data Pruning for Support Vector Machines. IEEE BigData (2018)
Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura
Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks. IJCAI (2017)
Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura
Controlling Exploration Improves Training for Deep Neural Networks. CoRR (2016)
Yasuhiro Fujiwara, Yasutoshi Ida, Junya Arai, Mai Nishimura, Sotetsu Iwamura
Fast Algorithm for the Lasso based L1-Graph Construction. Proc. VLDB Endow. 10 (3) (2016)
Yasuhiro Fujiwara, Yasutoshi Ida, Hiroaki Shiokawa, Sotetsu Iwamura
Fast Lasso Algorithm via Selective Coordinate Descent. AAAI (2016)
Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Yasutoshi Ida, Machiko Toyoda
Adaptive Message Update for Fast Affinity Propagation. KDD (2015)
Yasutoshi Ida, Takuma Nakamura, Takashi Matsumoto
Label-Related/Unrelated Topic Switching Model: A Partially Labeled Topic Model Handling Infinite Label-Unrelated Topics. ACPR (2013)
Yasutoshi Ida, Takuma Nakamura, Takashi Matsumoto
Domain-dependent/independent topic switching model for online reviews with numerical ratings. CIKM (2013)
Tomohiko Suzuki, Takuma Nakamura, Yasutoshi Ida, Takashi Matsumoto
Handling incomplete matrix data via continuous-valued infinite relational model. ICASSP (2012)