Kanai, Sekitoshi

1. Sigsoftmax: Reanalysis of the Softmax Bottleneck
   2018/05/28 by Kanai, Sekitoshi, Fujiwara, Yasuhiro, Yamanaka, Yuki +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Post-pre-training for Modality Alignment in Vision-Language Foundation Models
   2025/04/17 by Shin’ya Yamaguchi, Yamaguchi, Shin'ya, Feng, Dewei +6 · 6 citations
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
3. Autoencoding Binary Classifiers for Supervised Anomaly Detection
   2019/03/26 by Yamanaka, Yuki, Iwata, Tomoharu, Takahashi, Hiroshi +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression
   2021/02/05 by Yamada, Masanori, Kanai, Sekitoshi, Iwata, Tomoharu +4 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain
   2021/06/04 by Shin’ya Yamaguchi, Yamaguchi, Shin'ya, Sekitoshi Kanai +1 · 1 citation
   Computer Science · #Advanced Data Storage Technologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Speech Recognition and Synthesis #electronic engineering #information engineering
6. One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
   2022/07/21 by Kanai, Sekitoshi, Yamaguchi, Shin'ya, Yamada, Masanori +3 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
   2023/08/31 by Suzuki, Satoshi, Yamaguchi, Shin'ya, Takeda, Shoichiro +4 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
   2024/03/15 by Shin’ya Yamaguchi, Sekitoshi Kanai, Yamaguchi, Shin'ya +5 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Neural Networks and Applications