This repository contains the experimental artifacts, results, and datasets for the paper "Mitigating the Density Paradox in Bayesian Active Learning" (DCPV).
These artifacts support the reproducibility of our findings, demonstrating that standard Bayesian Active Learning methods (like Predictive Variance) often fail in Out-of-Distribution (OOD) settings, and that our proposed method (Robust PV) effectively mitigates… See the full description on the dataset page:
https://huggingface.co/datasets/darcook/DCPV-Artifacts.
