897 citations · 2.1k across the 32 of their papers we have counts for
4 papers · 2 filters
Anomaly Detection in the Presence of Missing Values
Thomas G. Dietterich, Tadesse Zemicheal
Standard methods for anomaly detection assume that all features are observed at both learning time and prediction time. Such methods cannot process data containing missing values.…
Open Category Detection with PAC Guarantees
Si Liu, Risheek Garrepalli, Thomas G. Dietterich +2
Open category detection is the problem of detecting "alien" test instances that belong to categories or classes that were not present in the training data. In many applications, re…
Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
Dan Hendrycks, Thomas G. Dietterich
In this paper we establish rigorous benchmarks for image classifier robustness. Our first benchmark, ImageNet-C, standardizes and expands the corruption robustness topic, while sho…
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning
Thomas G. Dietterich, George Trimponias, Zhitang Chen
Exogenous state variables and rewards can slow down reinforcement learning by injecting uncontrolled variation into the reward signal. We formalize exogenous state variables and re…