Sekitoshi Kanai

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 41

Top Topics

Invariant Representations

Supervised Learning

Top Venues

Publications

Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks. CoRR (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)
Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima
Regularizing Neural Networks with Meta-Learning Generative Models. CoRR (2023)
Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima
Regularizing Neural Networks with Meta-Learning Generative Models. NeurIPS (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)
Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff. CoRR (2023)
Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff. ICCV (2023)
Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima
Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders. KDD (2022)
Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima
Transfer Learning with Pre-trained Conditional Generative Models. CoRR (2022)
Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks. CoRR (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)
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)
Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda
Image Enhanced Rotation Prediction for Self-Supervised Learning. ICIP (2021)
Shin'ya Yamaguchi, Sekitoshi Kanai
F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain. ICCV (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)
Masanori Yamada, Sekitoshi Kanai, Tomoharu Iwata, Tomokatsu Takahashi, Yuki Yamanaka, Hiroshi Takahashi, Atsutoshi Kumagai
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression. CoRR (2021)
Shin'ya Yamaguchi, Sekitoshi Kanai
F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain. CoRR (2021)
Toshiaki Wakatsuki, Sekitoshi Kanai, Yasuhiro Fujiwara
Accelerate Inference of CNNs for Video Analysis While Preserving Exactness Exploiting Activation Sparsity. MLSys (2021)
Yasuhiro Fujiwara, Sekitoshi Kanai, Yasutoshi Ida, Atsutoshi Kumagai, Naonori Ueda
Fast Algorithm for Anchor Graph Hashing. Proc. VLDB Endow. 14 (6) (2021)
Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda
Effective Data Augmentation with Multi-Domain Learning GANs. AAAI (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)
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)
Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda
Effective Data Augmentation with Multi-Domain Learning GANs. CoRR (2019)
Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai
Autoencoding Binary Classifiers for Supervised Anomaly Detection. PRICAI (2) (2019)
Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Junya Arai, Naonori Ueda
Fast Random Forest Algorithm via Incremental Upper Bound. CIKM (2019)
Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai
Autoencoding Binary Classifiers for Supervised Anomaly Detection. CoRR (2019)
Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda
Multiple Pretext-Task for Self-Supervised Learning via Mixing Multiple Image Transformations. CoRR (2019)
Yasuhiro Fujiwara, Junya Arai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda
Adaptive Data Pruning for Support Vector Machines. IEEE BigData (2018)
Sekitoshi Kanai, Yasuhiro Fujiwara, Yuki Yamanaka, Shuichi Adachi
Sigsoftmax: Reanalysis of the Softmax Bottleneck. CoRR (2018)
Sekitoshi Kanai, Yasuhiro Fujiwara, Yuki Yamanaka, Shuichi Adachi
Sigsoftmax: Reanalysis of the Softmax Bottleneck. NeurIPS (2018)
Sekitoshi Kanai, Yasuhiro Fujiwara, Sotetsu Iwamura
Preventing Gradient Explosions in Gated Recurrent Units. NIPS (2017)