Yamada, Masanori

1. Variational Autoencoder with Implicit Optimal Priors
   2018/09/14 by Takahashi, Hiroshi, Iwata, Tomoharu, Yamanaka, Yuki +2 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. FAVAE: Sequence Disentanglement using Information Bottleneck Principle
   2019/02/22 by Yamada, Masanori, Kim, Heecheol, Miyoshi, Kosuke +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
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. 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)
6. Toward Data Efficient Model Merging between Different Datasets without Performance Degradation
   2023/06/09 by Yamada, Masanori, Yamashita, Tomoya, Yamaguchi, Shin'ya +1 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
   2024/02/06 by Ito, Akira, Yamada, Masanori, Kumagai, Atsutoshi · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)