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Thomas G. Dietterich

2 accepted papers

2021

Confidence Calibration for Domain Generalization Under Covariate Shift

ICCV 2021poster

Existing calibration algorithms address the problem of covariate shift via unsupervised domain adaptation. However, these methods suffer from the following limitations: 1) they require unlabeled data from the target domain, which may not be available at the stage of calibration in real-world applica…

Cited by 34PDFScholar
2015

HC-Search for Structured Prediction in Computer Vision

CVPR 2015poster

The mainstream approach to structured prediction problems in computer vision is to learn an energy function such that the solution minimizes that function. At prediction time, this approach must solve an often-challenging optimization problem. Search-based methods provide an alternative that has t…

Cited by 38SourcePDFScholar