Search Results for author:
Found 1 papers, 0 papers with code
Tree-based Ensemble Learning for Out-of-distribution Detection
In this paper, we propose TOOD detection, a simple yet effective tree-based out-of-distribution (TOOD) detection mechanism to determine if a set of unseen samples will have similar distribution as of the training samples.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
