Maeda, Shin-ichi

1. Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
   2017/04/13 by Takeru Miyato, Shin‐ichi Maeda, Miyato, Takeru +5 · 65 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Advanced Neural Network Applications
2. DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback
   2018/10/28 by Riku Arakawa, Sosuke Kobayashi, Arakawa, Riku +7 · 9 citations
   Computer Science · Engineering · Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Smart Grid Energy Management
3. Robustness to Adversarial Perturbations in Learning from Incomplete Data
   2019/05/24 by Amir Najafi, Najafi, Amir, Shin‐ichi Maeda +5 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
4. Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks
   2019/08/13 by Kohei Hayashi, Hayashi, Kohei, T. Yamaguchi +5 · 2 citations
   Computer Science · Mathematics · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Tensor decomposition and applications
5. Distributional Smoothing with Virtual Adversarial Training
   2015/07/02 by Miyato, Takeru, Maeda, Shin-ichi, Koyama, Masanori +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
   2023/04/25 by Kinoshita, Yuri, Oono, Kenta, Fukumizu, Kenji +2 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Neural Multi-scale Image Compression
   2018/05/16 by Ken Nakanishi, Shin‐ichi Maeda, Nakanishi, Ken +5 · 1 citation
   Computer Science · #Advanced Data Compression Techniques #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Clipped Action Policy Gradient
   2018/02/21 by Fujita, Yasuhiro, Maeda, Shin-ichi · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?
   2021/08/25 by Hiroaki Mikami, Kenji Fukumizu, Mikami, Hiroaki +13 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)