Sekitoshi Kanai

According to our database, Sekitoshi Kanai authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks.

Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa

CoRR, 2024

2023

Regularizing Neural Networks with Meta-Learning Generative Models.

Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Fast Block Coordinate Descent for Non-Convex Group Regularizations.

Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks.

Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers.

Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Switching One-Versus-the-Rest Loss to Increase the Margin of Logits for Adversarial Robustness.

Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Yasutoshi Ida

CoRR, 2022

Transfer Learning with Pre-trained Conditional Generative Models.

Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima

CoRR, 2022

Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders.

Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Fast Algorithm for Anchor Graph Hashing.

Yasuhiro Fujiwara, Sekitoshi Kanai, Yasutoshi Ida, Atsutoshi Kumagai, Naonori Ueda

Proc. VLDB Endow., 2021

Smoothness Analysis of Loss Functions of Adversarial Training.

Sekitoshi Kanai, Masanori Yamada, Hiroshi Takahashi, Yuki Yamanaka, Yasutoshi Ida

CoRR, 2021

Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression.

Masanori Yamada, Sekitoshi Kanai, Tomoharu Iwata, Tomokatsu Takahashi, Yuki Yamanaka, Hiroshi Takahashi, Atsutoshi Kumagai

CoRR, 2021

Accelerate Inference of CNNs for Video Analysis While Preserving Exactness Exploiting Activation Sparsity.

Toshiaki Wakatsuki, Sekitoshi Kanai, Yasuhiro Fujiwara

Proceedings of Machine Learning and Systems 2021, 2021

Constraining Logits by Bounded Function for Adversarial Robustness.

Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida

Proceedings of the International Joint Conference on Neural Networks, 2021

Image Enhanced Rotation Prediction for Self-Supervised Learning.

Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Fast Similarity Computation for t-SNE.

Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Naonori Ueda

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain.

Shin'ya Yamaguchi, Sekitoshi Kanai

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fast and Accurate Anchor Graph-based Label Prediction.

Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Sekitoshi Kanai, Naonori Ueda

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Efficient Algorithm for the b-Matching Graph.

Yasuhiro Fujiwara, Atsutoshi Kumagai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance.

Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima

Proceedings of the 37th International Conference on Machine Learning, 2020

Effective Data Augmentation with Multi-Domain Learning GANs.

Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks.

Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multiple Pretext-Task for Self-Supervised Learning via Mixing Multiple Image Transformations.

Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda

CoRR, 2019

Autoencoding Binary Classifiers for Supervised Anomaly Detection.

Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Fast Random Forest Algorithm via Incremental Upper Bound.

Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Junya Arai, Naonori Ueda

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Efficient Data Point Pruning for One-Class SVM.

Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Sigsoftmax: Reanalysis of the Softmax Bottleneck.

Sekitoshi Kanai, Yasuhiro Fujiwara, Yuki Yamanaka, Shuichi Adachi

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adaptive Data Pruning for Support Vector Machines.

Yasuhiro Fujiwara, Junya Arai, Sekitoshi Kanai, Yasutoshi Ida, Naonori Ueda

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Preventing Gradient Explosions in Gated Recurrent Units.

Sekitoshi Kanai, Yasuhiro Fujiwara, Sotetsu Iwamura

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017