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Conformal Prediction Intervals for Markov Decision Process Trajectories


Jun 21, 2022
Thomas G. Dietterich, Jesse Hostetler

* 25 pages, 15 figures, 2 tables. Fixed typos and an error in the appendix plots 

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The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods


Mar 04, 2022
Thomas G. Dietterich, Alexander Guyer

* Under review 

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Hidden Heterogeneity: When to Choose Similarity-Based Calibration


Feb 03, 2022
Kiri L. Wagstaff, Thomas G. Dietterich

* Draft version currently under review. Do not cite. Comments and feedback welcome! 33 pages, 10 figures 

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Deep Convolution for Irregularly Sampled Temporal Point Clouds


May 01, 2021
Erich Merrill, Stefan Lee, Li Fuxin, Thomas G. Dietterich, Alan Fern

* 12 pages, submitted to ICLR 2021 

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Confidence Calibration for Domain Generalization under Covariate Shift


Apr 01, 2021
Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda Gervasio


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Three-quarter Sibling Regression for Denoising Observational Data


Dec 31, 2020
Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich

* IJCAI 2019 

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A Unifying Review of Deep and Shallow Anomaly Detection


Sep 28, 2020
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller

* 36 pages, preprint; references added 

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Deep Anomaly Detection with Outlier Exposure


Dec 21, 2018
Dan Hendrycks, Mantas Mazeika, Thomas G. Dietterich

* ICLR 2019; PyTorch code available at https://github.com/hendrycks/outlier-exposure 

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Robust Artificial Intelligence and Robust Human Organizations


Nov 27, 2018
Thomas G. Dietterich

* To appear as a Perspective in Frontiers in Computer Science 

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