Kanai, Sekitoshi

18 publications

ECML-PKDD 2025 Fast Proximal Gradient Methods with Node Pruning for Tree-Structured Sparse Regularization Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

CVPR 2025 Post-Pre-Training for Modality Alignment in Vision-Language Foundation Models Shin'ya Yamaguchi, Dewei Feng, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa

MLJ 2025 Transfer Learning with Pre-Trained Conditional Generative Models Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima

CVPR 2024 Adaptive Random Feature Regularization on Fine-Tuning Deep Neural Networks Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa

NeurIPS 2024 Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

ICCV 2023 Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura

AISTATS 2023 Fast Block Coordinate Descent for Non-Convex Group Regularizations Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai

AAAI 2023 Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara

AAAI 2023 Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida

ICML 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

NeurIPS 2023 Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima

ICCV 2021 F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain Shin'ya Yamaguchi, Sekitoshi Kanai

AAAI 2020 Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi

AAAI 2020 Effective Data Augmentation with Multi-Domain Learning GANs Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda

ICML 2020 Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima

AAAI 2019 Efficient Data Point Pruning for One-Class SVM Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda

NeurIPS 2018 Sigsoftmax: Reanalysis of the SoftMax Bottleneck Sekitoshi Kanai, Yasuhiro Fujiwara, Yuki Yamanaka, Shuichi Adachi

NeurIPS 2017 Preventing Gradient Explosions in Gated Recurrent Units Sekitoshi Kanai, Yasuhiro Fujiwara, Sotetsu Iwamura