Thomas G. Dietterich

1. Solving the multiple instance problem with axis-parallel rectangles
   1997/01/01 by Thomas G. Dietterich, Richard H. Lathrop, Tomás Lozano‐Pérez +1 · 105 citations
   Computer Science · #Image Retrieval and Classification Techniques #Advanced Image and Video Retrieval Techniques #Rough Sets and Fuzzy Logic
2. Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
   2019/03/28 by Dan Hendrycks, Thomas G. Dietterich, Hendrycks, Dan +1 · 214 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
   1998/10/01 by Thomas G. Dietterich · 1 voice · 61 citations
   Computer Science · #Neural Networks and Applications #Evolutionary Algorithms and Applications #Machine Learning and Data Classification
4. A Unifying Review of Deep and Shallow Anomaly Detection
   2021/02/05 by Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen +5 · 69 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #Imbalanced Data Classification Techniques
5. Deep Anomaly Detection with Outlier Exposure
   2018/12/11 by Dan Hendrycks, Hendrycks, Dan, Mantas Mazeika +3 · 105 citations
   Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Network Security and Intrusion Detection
6. Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
   1999/05/21 by Thomas G. Dietterich, Dietterich, Thomas G. · 22 citations
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Software Reliability and Analysis Research #cs.LG
7. Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
   2018/07/04 by Dan Hendrycks, Hendrycks, Dan, Thomas G. Dietterich +1 · 17 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and 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) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
8. International AI Safety Report
   2025/01/29 by Yoshua Bengio, Bengio, Yoshua, Sören Mindermann +180 · 17 citations
   Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Open Category Detection with PAC Guarantees
   2018/08/01 by Si Liu, Risheek Garrepalli, Liu, Si +7 · 3 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Anomaly Detection Techniques and Applications #Machine Learning and Algorithms
10. Learning from Sparse Data by Exploiting Monotonicity Constraints
    2012/07/04 by Eric E. Altendorf, Angelo C. Restificar, Altendorf, Eric E. +3 · 2 citations
    Computer Science · #Bayesian Modeling and Causal Inference #AI-based Problem Solving and Planning #Rough Sets and Fuzzy Logic
11. A Meta-Analysis of the Anomaly Detection Problem
    2015/03/03 by Andrew Emmott, Emmott, Andrew, Shubhomoy Das +7 · 2 citations
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Network Security and Intrusion Detection
12. The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods
    2022/03/04 by Thomas G. Dietterich, Alexander Guyer · 1 voice · 1 citation
    Computer Science · Mathematics · #cs.CV #cs.LG #stat.ML
13. Conformal Prediction Intervals for Markov Decision Process Trajectories
    2022/06/10 by Thomas G. Dietterich, Dietterich, Thomas G., Jesse Hostetler +1 · 1 citation
    Chemistry · Decision Sciences · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Mass Spectrometry Techniques and Applications #Simulation Techniques and Applications
14. Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target
    2022/11/29 by Alexander Guyer, Guyer, Alexander, Thomas G. Dietterich +1 · 1 citation
    Business, Management and Accounting · #FOS: Computer and information sciences #Innovative Approaches in Technology and Social Development #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
15. Incorporating Feedback into Tree-based Anomaly Detection
    2017/08/30 by Shubhomoy Das, Das, Shubhomoy, Weng‐Keen Wong +7 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #I.2.6 #I.5.5 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Network Security and Intrusion Detection
16. International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications
    2025/10/15 by Yoshua Bengio, Bengio, Yoshua, Stephen Clare +134 · 1 citation
    Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences