Ishida, Takashi
- Learning from Complementary Labels
2017/05/22 by Takashi Ishida, Gang Niu, Ishida, Takashi +5 · 9 citations
Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Do We Need Zero Training Loss After Achieving Zero Training Error?
2020/02/20 by Takashi Ishida, Ikko Yamane, Ishida, Takashi +7 · 8 citations
Computer Science · Health Professions · Psychology · #FOS: Computer and information sciences #Human Resource Development and Performance Evaluation #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quality and Safety in Healthcare #Smart Systems and Machine Learning
- Complementary-Label Learning for Arbitrary Losses and Models
2018/10/10 by Takashi Ishida, Gang Niu, Ishida, Takashi +5 · 6 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Binary Classification from Positive-Confidence Data
2017/10/19 by Takashi Ishida, Ishida, Takashi, Gang Niu +3 · 3 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
- Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
2023/11/27 by Wang, Wei, Ishida, Takashi, Zhang, Yu-Jie +2 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- 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, Ikko Yamane, Ishida, Takashi +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
- Practical estimation of the optimal classification error with soft labels and calibration
2025/05/27 by Ushio, Ryota, Ishida, Takashi, Sugiyama, Masashi · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- How Can I Publish My LLM Benchmark Without Giving the True Answers Away?
2025/05/23 by Ishida, Takashi, Lodkaew, Thanawat, Yamane, Ikko · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)