Search Results for author:
Found 2 papers, 0 papers with code
Learn what you can't learn: Regularized Ensembles for Transductive out-of-distribution detection
This paper studies how such ``hard'' OOD scenarios can benefit from tuning the detection method after observing a batch of the test data.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
Fourier networks for uncertainty estimates and out-of-distribution detection
A simple method for obtaining uncertainty estimates for Neural Network classifiers (e. g. for out-of-distribution detection) is to use an ensemble of independently trained networks and average the softmax outputs.
