Search Results for author:
Found 2 papers, 0 papers with code
On the Use of Anchoring for Training Vision Models
Anchoring is a recent, architecture-agnostic principle for training deep neural networks that has been shown to significantly improve uncertainty estimation, calibration, and extrapolation capabilities.
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors
We focus on the problem of producing well-calibrated out-of-distribution (OOD) detectors, in order to enable safe deployment of medical image classifiers.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
