Thomas G. Dietterich
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
94
Venues
22
Active years
1979–2022
Best venue rank
A*
Where they publish
Papers
94 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | KDD | ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. | Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich |
| 2021 | AAAI | K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management. | Jonathan Ferrer-Mestres, Thomas G. Dietterich, Olivier Buffet, Iadine Chades |
| 2021 | ICCV | Confidence Calibration for Domain Generalization under Covariate Shift. | Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio |
| 2021 | KDD | Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). | Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich |
| 2019 | ICLR | Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. | Dan Hendrycks, Thomas G. Dietterich |
| 2019 | ICLR | Deep Anomaly Detection with Outlier Exposure. | Dan Hendrycks, Mantas Mazeika, Thomas G. Dietterich |
| 2019 | IJCAI | Three-quarter Sibling Regression for Denoising Observational Data. | Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich |
| 2018 | AAAI | Can We Achieve Open Category Detection with Guarantees? | Si Liu, Risheek Garrepalli, Alan Fern, Thomas G. Dietterich |
| 2018 | ICML | Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning. | Thomas G. Dietterich, George Trimponias, Zhitang Chen |
| 2018 | ICML | Open Category Detection with PAC Guarantees. | Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks |
| 2018 | KDD | Feedback-Guided Anomaly Discovery via Online Optimization. | Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Ryan Wright, Alec Theriault, David W. Archer |
| 2016 | ICDM | Incorporating Expert Feedback into Active Anomaly Discovery. | Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott |
| 2016 | IJCAI | Transductive Optimization of Top k Precision. | Li-Ping Liu, Thomas G. Dietterich, Nan Li, Zhi-Hua Zhou |
| 2016 | UAI | Finite Sample Complexity of Rare Pattern Anomaly Detection. | Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Shubhomoy Das |
| 2015 | AAAI | Learning Greedy Policies for the Easy-First Framework. | Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli |
| 2015 | CVPR | ℋC-search for structured prediction in computer vision. | Michael Lam, Janardhan Rao Doppa, Sinisa Todorovic, Thomas G. Dietterich |
| 2015 | UAI | Progressive Abstraction Refinement for Sparse Sampling. | Jesse Hostetler, Alan Fern, Thomas G. Dietterich |
| 2015 | UIST | Improving Automated Email Tagging with Implicit Feedback. | Mohammad S. Sorower, Michael Slater, Thomas G. Dietterich |
| 2014 | AAAI | Learning Scripts as Hidden Markov Models. | John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich |
| 2014 | EMNLP | Prune-and-Score: Learning for Greedy Coreference Resolution. | Chao Ma, Janardhan Rao Doppa, John Walker Orr, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli |
| 2014 | ICML | Learnability of the Superset Label Learning Problem. | Li-Ping Liu, Thomas G. Dietterich |
| 2014 | ICML | Gaussian Approximation of Collective Graphical Models. | Li-Ping Liu, Daniel Sheldon, Thomas G. Dietterich |
| 2013 | AAAI | PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs. | Thomas G. Dietterich, Majid Alkaee Taleghan, Mark Crowley |
| 2013 | AAAI | Approximate Bayesian Inference for Reconstructing Velocities of Migrating Birds from Weather Radar. | Daniel Sheldon, Andrew Farnsworth, Jed Irvine, Benjamin Van Doren, Kevin F. Webb, Thomas G. Dietterich, Steve Kelling |
| 2013 | AAAI | Guiding Scientific Discovery with Explanations Using DEMUD. | Kiri L. Wagstaff, Nina L. Lanza, David R. Thompson, Thomas G. Dietterich, Martha S. Gilmore |
| 2013 | ICML | Approximate Inference in Collective Graphical Models. | Daniel Sheldon, Tao Sun, Akshat Kumar, Thomas G. Dietterich |
| 2013 | KDD | Detecting insider threats in a real corporate database of computer usage activity. | Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen |
| 2012 | UAI | Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games. | Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern |
| 2012 | UAI | Active Imitation Learning via Reduction to I.I.D. Active Learning. | Kshitij Judah, Alan Fern, Thomas G. Dietterich |
| 2011 | AAAI | Incorporating Boosted Regression Trees into Ecological Latent Variable Models. | Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Dietterich |
| 2011 | WACV | Stacked spatial-pyramid kernel: An object-class recognition method to combine scores from random trees. | Natalia Larios Delgado, Junyuan Lin, Mengzi Zhang, David A. Lytle, Andrew Moldenke, Linda G. Shapiro, Thomas G. Dietterich |
| 2010 | AAAI | Reinforcement Learning Via Practice and Critique Advice. | Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Dietterich |
| 2010 | CHI | The life and times of files and information: a study of desktop provenance. | Carlos Jensen, Heather Lonsdale, Eleanor Wynn, Jill Cao, Michael Slater, Thomas G. Dietterich |
| 2010 | ICPR | Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification. | Natalia Larios, Bilge Soran, Linda G. Shapiro, Gonzalo Martnez-Muoz, Junyuan Lin, Thomas G. Dietterich |
| 2009 | ACML | Machine Learning and Ecosystem Informatics: Challenges and Opportunities. | Thomas G. Dietterich |
| 2009 | CVPR | Dictionary-free categorization of very similar objects via stacked evidence trees. | Gonzalo Martnez-Muoz, Natalia Larios Delgado, Eric N. Mortensen, Wei Zhang, Asako Yamamuro, Robert Paasch, Nadia Payet, David A. Lytle, Linda G. Shapiro, Sinisa Todorovic, Andrew Moldenke, Thomas G. Dietterich |
| 2009 | IAAI | An Ensemble Learning and Problem Solving Architecture for Airspace Management. | Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong K. Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontan, Charles Parker, Jainarayan Radhakrishnan, Antons Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread |
| 2009 | ICML | Learning non-redundant codebooks for classifying complex objects. | Wei Zhang, Akshat Surve, Xiaoli Z. Fern, Thomas G. Dietterich |
| 2009 | IJCAI | Machine Learning in Ecosystem Informatics and Sustainability. | Thomas G. Dietterich |
| 2009 | IUI | Discovering frequent work procedures from resource connections. | Jianqiang Shen, Erin Fitzhenry, Thomas G. Dietterich |
| 2009 | IUI | Detecting and correcting user activity switches: algorithms and interfaces. | Jianqiang Shen, Jed Irvine, Xinlong Bao, Michael Goodman, Stephen Kolibaba, Anh Tran, Fredric Carl, Brenton Kirschner, Simone Stumpf, Thomas G. Dietterich |
| 2009 | SDM | A Family of Large Margin Linear Classifiers and Its Application in Dynamic Environments. | Jianqiang Shen, Thomas G. Dietterich |
| 2008 | AAAI | Integrating Multiple Learning Components through Markov Logic. | Thomas G. Dietterich, Xinlong Bao |
| 2008 | ICML | Automatic discovery and transfer of MAXQ hierarchies. | Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich |
| 2008 | ICPR | Learning visual dictionaries and decision lists for object recognition. | Wei Zhang, Thomas G. Dietterich |
| 2007 | ALT | Machine Learning in Ecosystem Informatics. | Thomas G. Dietterich |
| 2007 | CVPR | Principal Curvature-Based Region Detector for Object Recognition. | Hongli Deng, Wei Zhang, Eric N. Mortensen, Thomas G. Dietterich, Linda G. Shapiro |
| 2007 | DIS | Machine Learning in Ecosystem Informatics. | Thomas G. Dietterich |
| 2007 | IJCAI | Real-Time Detection of Task Switches of Desktop Users. | Jianqiang Shen, Lida Li, Thomas G. Dietterich |
| 2007 | IUI | Active EM to reduce noise in activity recognition. | Jianqiang Shen, Thomas G. Dietterich |
| 2007 | IUI | Toward harnessing user feedback for machine learning. | Simone Stumpf, Vidya Rajaram, Lida Li, Margaret M. Burnett, Thomas G. Dietterich, Erin Sullivan, Russell Drummond, Jonathan L. Herlocker |
| 2007 | WACV | Automated Insect Identification through Concatenated Histograms of Local Appearance Features. | Natalia Larios, Hongli Deng, Wei Zhang, Matt Sarpola, Jenny Yuen, Robert Paasch, Andrew Moldenke, David A. Lytle, Ruiz Correa, Eric N. Mortensen, Linda G. Shapiro, Thomas G. Dietterich |
| 2007 | UAI | Probabilistic Models for Anomaly Detection in Remote Sensor Data Streams. | Ethan W. Dereszynski, Thomas G. Dietterich |
| 2006 | CVPR | Reinforcement Matching Using Region Context. | Hongli Deng, Eric N. Mortensen, Linda G. Shapiro, Thomas G. Dietterich |
| 2006 | ICPR | A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions. | Wei Zhang, Hongli Deng, Thomas G. Dietterich, Eric N. Mortensen |
| 2006 | IUI | Fewer clicks and less frustration: reducing the cost of reaching the right folder. | Xinlong Bao, Jonathan L. Herlocker, Thomas G. Dietterich |
| 2006 | IUI | A hybrid learning system for recognizing user tasks from desktop activities and email messages. | Jianqiang Shen, Lida Li, Thomas G. Dietterich, Jonathan L. Herlocker |
| 2005 | AAAI | The TaskTracker System. | Simone Stumpf, Xinlong Bao, Anton N. Dragunov, Thomas G. Dietterich, Jonathan L. Herlocker, Kevin Johnsrude, Lida Li, Jianqiang Shen |
| 2005 | ICML | Learning first-order probabilistic models with combining rules. | Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo C. Restificar |
| 2005 | IUI | TaskTracer: a desktop environment to support multi-tasking knowledge workers. | Anton N. Dragunov, Thomas G. Dietterich, Kevin Johnsrude, Matthew R. McLaughlin, Lida Li, Jonathan L. Herlocker |
| 2005 | UAI | Learning from Sparse Data by Exploiting Monotonicity Constraints. | Eric Altendorf, Angelo C. Restificar, Thomas G. Dietterich |
| 2004 | ICML | Training conditional random fields via gradient tree boosting. | Thomas G. Dietterich, Adam Ashenfelter, Yaroslav Bulatov |
| 2004 | ICML | Improving SVM accuracy by training on auxiliary data sources. | Pengcheng Wu, Thomas G. Dietterich |
| 2003 | ICML | Low Bias Bagged Support Vector Machines. | Giorgio Valentini, Thomas G. Dietterich |
| 2003 | ICML | Model-based Policy Gradient Reinforcement Learning. | Xin Wang, Thomas G. Dietterich |
| 2002 | ICML | Action Refinement in Reinforcement Learning by Probability Smoothing. | Thomas G. Dietterich, Ddac Busquets, Ramn Lpez de Mntaras, Carles Sierra |
| 2002 | ICML | Pruning Improves Heuristic Search for Cost-Sensitive Learning. | Valentina Bayer Zubek, Thomas G. Dietterich |
| 2002 | SSPR | Machine Learning for Sequential Data: A Review. | Thomas G. Dietterich |
| 2000 | ALT | The Divide-and-Conquer Manifesto. | Thomas G. Dietterich |
| 2000 | ICML | A Divide and Conquer Approach to Learning from Prior Knowledge. | Eric Chown, Thomas G. Dietterich |
| 2000 | ICML | Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers. | Dragos D. Margineantu, Thomas G. Dietterich |
| 2000 | KDD | Mining IC test data to optimize VLSI testing. | Tony Fountain, Thomas G. Dietterich, Bill Sudyka |
| 2000 | PRICAI | A POMDP Approximation Algorithm That Anticipates the Need to Observe. | Valentina Bayer Zubek, Thomas G. Dietterich |
| 1998 | ICML | The MAXQ Method for Hierarchical Reinforcement Learning. | Thomas G. Dietterich |
| 1997 | ICML | Pruning Adaptive Boosting. | Dragos D. Margineantu, Thomas G. Dietterich |
| 1997 | ICML | Hierarchical Explanation-Based Reinforcement Learning. | Prasad Tadepalli, Thomas G. Dietterich |
| 1996 | ICML | Applying the Waek Learning Framework to Understand and Improve C4.5. | Thomas G. Dietterich, Michael J. Kearns, Yishay Mansour |
| 1995 | ICML | Explanation-Based Learning and Reinforcement Learning: A Unified View. | Thomas G. Dietterich, Nicholas S. Flann |
| 1995 | ICML | Error-Correcting Output Coding Corrects Bias and Variance. | Eun Bae Kong, Thomas G. Dietterich |
| 1995 | IJCAI | A Reinforcement Learning Approach to job-shop Scheduling. | Wei Zhang, Thomas G. Dietterich |
| 1992 | ICML | On Learning More Concepts. | Hussein Almuallim, Thomas G. Dietterich |
| 1991 | AAAI | Learning with Many Irrelevant Features. | Hussein Almuallim, Thomas G. Dietterich |
| 1991 | AAAI | Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs. | Thomas G. Dietterich, Ghulum Bakiri |
| 1991 | ICML | Knowledge Compilation to Speed Up Numerical Optimization. | Giuseppe Cerbone, Thomas G. Dietterich |
| 1991 | ICML | Machine Learning in Engineering Automation. | Steve A. Chien, Bradley L. Whitehall, Thomas G. Dietterich, Richard J. Doyle, Brian Falkenhainer, James Garrett, Stephen C. Y. Lu |
| 1990 | ICML | A Comparative Study of ID3 and Backpropagation for English Text-to-Speech Mapping. | Thomas G. Dietterich, Hermann Hild, Ghulum Bakiri |
| 1989 | ICML | Limitations on Inductive Learning. | Thomas G. Dietterich |
| 1989 | ICML | What Good Are Experiments?. | Ritchey A. Ruff, Thomas G. Dietterich |
| 1988 | AAAI | An Efficient ATMS for Equivalence Relations. | Caroline N. Koff, Nicholas S. Flann, Thomas G. Dietterich |
| 1987 | AAAI | Forward Chaining Logic Programming with the ATMS. | Nicholas S. Flann, Thomas G. Dietterich, Dan R. Corpon |
| 1986 | AAAI | Selecting Appropriate Representations for Learning from Examples. | Nicholas S. Flann, Thomas G. Dietterich |
| 1984 | AAAI | Learning About Systems That Contain State Variables. | Thomas G. Dietterich |
| 1980 | AAAI | Applying General Induction Methods to the Card Game Eleusis. | Thomas G. Dietterich |
| 1979 | IJCAI | Learning and Generalization of Characteristic Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. | Thomas G. Dietterich, Ryszard S. Michalski |