Sekitoshi Kanai

50 papers A* 17A 3B 3Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
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	A*	`conf`	Post-pre-training for Modality Alignment in Vision-Language Foundation Models. CVPR Shin'ya Yamaguchi, Dewei Feng, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa
2025	J	`jnl`	Post-pre-training for Modality Alignment in Vision-Language Foundation Models. CoRR Shin'ya Yamaguchi, Dewei Feng, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa
2025	J	`jnl`	Test-Time Alignment of LLMs via Sampling-Based Optimal Control in pre-logit space. CoRR Sekitoshi Kanai, Tsukasa Yoshida, Hiroshi Takahashi, Haru Kuroki, Kazumune Hashimoto
2025	J	`jnl`	Transfer learning with pre-trained conditional generative models. Mach. Learn. Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima
2024	A*	`conf`	Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks. CVPR Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa
2024	J	`jnl`	Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks. CoRR Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa
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	A*	`conf`	Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff. ICCV Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura
2023	J	`jnl`	Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff. CoRR Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura
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
2023	A*	`conf`	Regularizing Neural Networks with Meta-Learning Generative Models. NeurIPS Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima
2023	J	`jnl`	Regularizing Neural Networks with Meta-Learning Generative Models. CoRR Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima
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`	Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders. KDD Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima
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
2022	J	`jnl`	Transfer Learning with Pre-trained Conditional Generative Models. CoRR Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima
2021	—	`conf`	Accelerate Inference of CNNs for Video Analysis While Preserving Exactness Exploiting Activation Sparsity. MLSys Toshiaki Wakatsuki, Sekitoshi Kanai, Yasuhiro Fujiwara
2021	J	`jnl`	Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression. CoRR Masanori Yamada, Sekitoshi Kanai, Tomoharu Iwata, Tomokatsu Takahashi, Yuki Yamanaka, Hiroshi Takahashi, Atsutoshi Kumagai
2021	B	`conf`	Constraining Logits by Bounded Function for Adversarial Robustness. IJCNN Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida
2021	A*	`conf`	F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain. ICCV Shin'ya Yamaguchi, Sekitoshi Kanai
2021	J	`jnl`	F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain. CoRR Shin'ya Yamaguchi, Sekitoshi Kanai
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	B	`conf`	Image Enhanced Rotation Prediction for Self-Supervised Learning. ICIP Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda
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`	Effective Data Augmentation with Multi-Domain Learning GANs. AAAI Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda
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
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	—	`conf`	Autoencoding Binary Classifiers for Supervised Anomaly Detection. PRICAI (2) Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai
2019	J	`jnl`	Autoencoding Binary Classifiers for Supervised Anomaly Detection. CoRR Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai
2019	J	`jnl`	Effective Data Augmentation with Multi-Domain Learning GANs. CoRR Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda
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	J	`jnl`	Multiple Pretext-Task for Self-Supervised Learning via Mixing Multiple Image Transformations. CoRR Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda
2018	—	`conf`	Adaptive Data Pruning for Support Vector Machines. IEEE BigData Yasuhiro Fujiwara, Junya Arai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda
2018	A*	`conf`	Sigsoftmax: Reanalysis of the Softmax Bottleneck. NeurIPS Sekitoshi Kanai, Yasuhiro Fujiwara, Yuki Yamanaka, Shuichi Adachi
2018	J	`jnl`	Sigsoftmax: Reanalysis of the Softmax Bottleneck. CoRR Sekitoshi Kanai, Yasuhiro Fujiwara, Yuki Yamanaka, Shuichi Adachi
2017	—	`conf`	Preventing Gradient Explosions in Gated Recurrent Units. NIPS Sekitoshi Kanai, Yasuhiro Fujiwara, Sotetsu Iwamura