Nontawat Charoenphakdee

1. Imitation Learning from Imperfect Demonstration
   2019/01/27 by Yueh-Hua Wu, Nontawat Charoenphakdee, Wu, Yueh-Hua +7 · 8 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
2. Diffusion models for missing value imputation in tabular data
   2022/10/31 by Shuhan Zheng, Nontawat Charoenphakdee, Zheng, Shuhan +1 · 9 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
3. Robust Imitation Learning from Noisy Demonstrations
   2020/10/20 by Voot Tangkaratt, Tangkaratt, Voot, Nontawat Charoenphakdee +3 · 4 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
4. On the Calibration of Multiclass Classification with Rejection
   2019/01/30 by Chenri Ni, Ni, Chenri, Nontawat Charoenphakdee +5 · 2 citations
   Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
5. Classification with Rejection Based on Cost-sensitive Classification
   2020/10/22 by Nontawat Charoenphakdee, Zhenghang Cui, Charoenphakdee, Nontawat +5 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
6. Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
   2022/02/01 by Takashi Ishida, Ishida, Takashi, Ikko Yamane +7 · 1 citation
   Computer Science · Health Professions · #Artificial Intelligence in Healthcare #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification