Yasutoshi Ida - RankMe

53 papers A* 16A 5B 6Misc 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Accelerating Graph Construction for MIPS without Search Accuracy Loss. EDBT Yasuhiro Fujiwara, Ángel López García-Arias, Yu Mitsuzumi, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Makoto Nakatsuji, Akisato Kimura
2026	—	`conf`	Fast Vector Quantization Algorithm for ScaNN. KDD (1) Yasuhiro Fujiwara, Ángel López García-Arias, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Makoto Nakatsuji, Akisato Kimura
2026	J	`jnl`	Meta-learning representations for learning from multiple annotators. Neurocomputing Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasutoshi Ida, Yasuhiro Fujiwara
2025	B	`conf`	Evaluation of Time-Series Training Dataset through Lens of Spectrum of Deep State Space Models. IJCNN Sekitoshi Kanai, Yasutoshi Ida, Kazuki Adachi, Mihiro Uchida, Tsukasa Yoshida, Shin'ya Yamaguchi
2025	—	`conf`	Fast Proximal Gradient Methods with Node Pruning for Tree-Structured Sparse Regularization. ECML/PKDD (5) Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2025	J	`jnl`	Meta-learning Representations for Learning from Multiple Annotators. CoRR Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasutoshi Ida, Yasuhiro Fujiwara
2025	A	`conf`	Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression. AISTATS Tomoharu Iwata, Atsutoshi Kumagai, Yasutoshi Ida
2025	J	`jnl`	Zero-shot Concept Bottleneck Models. CoRR Shin'ya Yamaguchi, Kosuke Nishida, Daiki Chijiwa, Yasutoshi Ida
2024	J	`jnl`	Efficient Algorithm for K-Multiple-Means. Proc. ACM Manag. Data Yasuhiro Fujiwara, Atsutoshi Kumagai, Yasutoshi Ida, Masahiro Nakano, Makoto Nakatsuji, Akisato Kimura
2024	J	`jnl`	Evaluating Time-Series Training Dataset through Lens of Spectrum in Deep State Space Models. CoRR Sekitoshi Kanai, Yasutoshi Ida, Kazuki Adachi, Mihiro Uchida, Tsukasa Yoshida, Shin'ya Yamaguchi
2024	A*	`conf`	Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations. NeurIPS Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2024	J	`jnl`	Relationship Between Nonsmoothness in Adversarial Training, Constraints of Attacks, and Flatness in the Input Space. IEEE Trans. Neural Networks Learn. Syst. Sekitoshi Kanai, Masanori Yamada, Hiroshi Takahashi, Yuki Yamanaka, Yasutoshi Ida
2023	—	`conf`	Efficient Network Representation Learning via Cluster Similarity. DASFAA (3) Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Ueda
2023	J	`jnl`	Efficient Network Representation Learning via Cluster Similarity. Data Sci. Eng. Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Ueda
2023	A	`conf`	Fast Block Coordinate Descent for Non-Convex Group Regularizations. AISTATS Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai
2023	A*	`conf`	Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers. AAAI Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara
2023	J	`jnl`	Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers. CoRR Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara
2023	A*	`conf`	Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks. AAAI Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida
2023	A*	`conf`	One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training. ICML Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida
2022	B	`conf`	Fast Binary Network Hashing via Graph Clustering. IEEE Big Data Yasuhiro Fujiwara, Masahiro Nakano, Atsutoshi Kumagai, Yasutoshi Ida, Akisato Kimura, Naonori Ueda
2022	J	`jnl`	Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks. CoRR Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida
2022	A*	`conf`	Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion. NeurIPS Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara
2022	A*	`conf`	Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks. NeurIPS Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida
2022	J	`jnl`	Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks. CoRR Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida
2022	J	`jnl`	Switching One-Versus-the-Rest Loss to Increase the Margin of Logits for Adversarial Robustness. CoRR Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Yasutoshi Ida
2021	—	`—`	Algorithms for Accelerating Machine Learning with Wide and Deep Models. Yasutoshi Ida
2021	B	`conf`	Constraining Logits by Bounded Function for Adversarial Robustness. IJCNN Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida
2021	J	`jnl`	Fast Algorithm for Anchor Graph Hashing. Proc. VLDB Endow. Yasuhiro Fujiwara, Sekitoshi Kanai, Yasutoshi Ida, Atsutoshi Kumagai, Naonori Ueda
2021	A*	`conf`	Fast Similarity Computation for t-SNE. ICDE Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Naonori Ueda
2021	A	`conf`	Fast and Accurate Anchor Graph-based Label Prediction. CIKM Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Sekitoshi Kanai, Naonori Ueda
2021	A*	`conf`	Pruning Randomly Initialized Neural Networks with Iterative Randomization. NeurIPS Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue
2021	J	`jnl`	Pruning Randomly Initialized Neural Networks with Iterative Randomization. CoRR Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue
2021	J	`jnl`	Smoothness Analysis of Loss Functions of Adversarial Training. CoRR Sekitoshi Kanai, Masanori Yamada, Hiroshi Takahashi, Yuki Yamanaka, Yasutoshi Ida
2020	A*	`conf`	Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks. AAAI Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi
2020	J	`jnl`	Constraining Logits by Bounded Function for Adversarial Robustness. CoRR Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida
2020	A*	`conf`	Efficient Algorithm for the b-Matching Graph. KDD Yasuhiro Fujiwara, Atsutoshi Kumagai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda
2020	A*	`conf`	Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. ICML Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima
2020	B	`conf`	Improving Generalization Performance of Adaptive Learning Rate by Switching from Block Diagonal Matrix Preconditioning to SGD. IJCNN Yasutoshi Ida, Yasuhiro Fujiwara
2019	J	`jnl`	Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks. CoRR Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi
2019	A*	`conf`	Efficient Data Point Pruning for One-Class SVM. AAAI Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda
2019	A	`conf`	Fast Random Forest Algorithm via Incremental Upper Bound. CIKM Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Junya Arai, Naonori Ueda
2019	A*	`conf`	Fast Sparse Group Lasso. NeurIPS Yasutoshi Ida, Yasuhiro Fujiwara, Hisashi Kashima
2019	B	`conf`	Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining. IJCNN Yasutoshi Ida, Yasuhiro Fujiwara
2019	J	`jnl`	Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining. CoRR Yasutoshi Ida, Yasuhiro Fujiwara
2018	—	`conf`	Adaptive Data Pruning for Support Vector Machines. IEEE BigData Yasuhiro Fujiwara, Junya Arai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda
2017	A*	`conf`	Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks. IJCAI Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura
2016	J	`jnl`	Controlling Exploration Improves Training for Deep Neural Networks. CoRR Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura
2016	J	`jnl`	Fast Algorithm for the Lasso based L1-Graph Construction. Proc. VLDB Endow. Yasuhiro Fujiwara, Yasutoshi Ida, Junya Arai, Mai Nishimura, Sotetsu Iwamura
2016	A*	`conf`	Fast Lasso Algorithm via Selective Coordinate Descent. AAAI Yasuhiro Fujiwara, Yasutoshi Ida, Hiroaki Shiokawa, Sotetsu Iwamura
2015	A*	`conf`	Adaptive Message Update for Fast Affinity Propagation. KDD Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Yasutoshi Ida, Machiko Toyoda
2013	A	`conf`	Domain-dependent/independent topic switching model for online reviews with numerical ratings. CIKM Yasutoshi Ida, Takuma Nakamura, Takashi Matsumoto
2013	—	`conf`	Label-Related/Unrelated Topic Switching Model: A Partially Labeled Topic Model Handling Infinite Label-Unrelated Topics. ACPR Yasutoshi Ida, Takuma Nakamura, Takashi Matsumoto
2012	Misc	`conf`	Handling incomplete matrix data via continuous-valued infinite relational model. ICASSP Tomohiko Suzuki, Takuma Nakamura, Yasutoshi Ida, Takashi Matsumoto