• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 238 matches

• 2023
• 
  Kiri L. Wagstaff, Thomas G. Dietterich:
  Hidden Heterogeneity: When to Choose Similarity-Based Calibration. Trans. Mach. Learn. Res. 2023 (2023)
• 
  George Trimponias, Thomas G. Dietterich:
  Reinforcement Learning with Exogenous States and Rewards. CoRR abs/2303.12957 (2023)
• 2022
• 
  Si Liu, Risheek Garrepalli, Dan Hendrycks, Alan Fern, Debashis Mondal, Thomas G. Dietterich:
  PAC Guarantees and Effective Algorithms for Detecting Novel Categories. J. Mach. Learn. Res. 23: 44:1-44:47 (2022)
• 
  Thomas G. Dietterich, Alexander Guyer:
  The familiarity hypothesis: Explaining the behavior of deep open set methods. Pattern Recognit. 132: 108931 (2022)
• 
  Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich:
  ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. KDD 2022: 4892-4893
• 
  Kiri L. Wagstaff, Thomas G. Dietterich:
  Hidden Heterogeneity: When to Choose Similarity-Based Calibration. CoRR abs/2202.01840 (2022)
• 
  Thomas G. Dietterich, Alexander Guyer:
  The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods. CoRR abs/2203.02486 (2022)
• 
  Thomas G. Dietterich, Jesse Hostetler:
  Conformal Prediction Intervals for Markov Decision Process Trajectories. CoRR abs/2206.04860 (2022)
• 
  Risheek Garrepalli, Alan Fern, Thomas G. Dietterich:
  Oracle Analysis of Representations for Deep Open Set Detection. CoRR abs/2209.11350 (2022)
• 
  Alexander Guyer, Thomas G. Dietterich:
  Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target. CoRR abs/2211.16462 (2022)
• 2021
• 
  Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller:
  A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE 109(5): 756-795 (2021)
• 
  Jonathan Ferrer-Mestres, Thomas G. Dietterich, Olivier Buffet, Iadine Chades:
  K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management. AAAI 2021: 14775-14784
• 
  Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio:
  Confidence Calibration for Domain Generalization under Covariate Shift. ICCV 2021: 8938-8947
• 
  Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich:
  Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). KDD 2021: 4145-4146
• 
  Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich:
  Three-quarter Sibling Regression for Denoising Observational Data. CoRR abs/2101.00074 (2021)
• 
  Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio:
  Confidence Calibration for Domain Generalization under Covariate Shift. CoRR abs/2104.00742 (2021)
• 
  Erich Merrill, Stefan Lee, Fuxin Li, Thomas G. Dietterich, Alan Fern:
  Deep Convolution for Irregularly Sampled Temporal Point Clouds. CoRR abs/2105.00137 (2021)
• 2020
• 
  Joshua Alspector, Thomas G. Dietterich:
  DARPA's Role in Machine Learning. AI Mag. 41(2): 36-48 (2020)
• 
  Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott:
  Discovering Anomalies by Incorporating Feedback from an Expert. ACM Trans. Knowl. Discov. Data 14(4): 49:1-49:32 (2020)
• 
  Jonathan Ferrer-Mestres, Thomas G. Dietterich, Olivier Buffet, Iadine Chadès:
  Solving K-MDPs. ICAPS 2020: 110-118
• 
  Tadesse Zemicheal, Thomas G. Dietterich:
  Conditional mixture models for precipitation data quality control. COMPASS 2020: 13-21
• 
  Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller:
  A Unifying Review of Deep and Shallow Anomaly Detection. CoRR abs/2009.11732 (2020)
• 2019
• 
  Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman:
  Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (2019)
• 
  Thomas G. Dietterich:
  Robust artificial intelligence and robust human organizations. Frontiers Comput. Sci. 13(1): 1-3 (2019)
• 
  Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong:
  Sequential Feature Explanations for Anomaly Detection. ACM Trans. Knowl. Discov. Data 13(1): 1:1-1:22 (2019)
• 
  Tadesse Zemicheal, Thomas G. Dietterich:
  Anomaly detection in the presence of missing values for weather data quality control. COMPASS 2019: 65-73
• 
  Dan Hendrycks, Thomas G. Dietterich:
  Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. ICLR (Poster) 2019
• 
  Dan Hendrycks, Mantas Mazeika, Thomas G. Dietterich:
  Deep Anomaly Detection with Outlier Exposure. ICLR (Poster) 2019
• 
  Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich:
  Three-quarter Sibling Regression for Denoising Observational Data. IJCAI 2019: 5960-5966
• 
  Dan Hendrycks, Thomas G. Dietterich:
  Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. CoRR abs/1903.12261 (2019)

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