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darcook/DCPV-Artifacts

DCPV: Density-Clustered / OOD-Aware Predictive Variance Artifacts 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… See the full description on the dataset page: https://huggingface.co/datasets/darcook/DCPV-Artifacts.

Author / organizationdarcook
License (as declared)mit
Downloads338 (as reported by Hugging Face)
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Created2 January 2026
Last updated at source2 January 2026
active-learningbayesian-deep-learningout-of-distributionuncertainty-estimation
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  • 16 Oct 2026 Description: DCPV: Density-Clustered / OOD-Aware Predictive Variance Artifacts This repository contains the experimental artifacts, results, and datasets for the paper "Mitigating the Density Paradox in Bayesian Active Learning" (DCPV). These artifacts → DCPV: Density-Clustered / OOD-Aware Predictive Variance Artifacts This repository contains the experimental artifacts, results, and datasets for the paper "Mitigating the Density Paradox in Bayesian Active Learning" (DCPV). These artifacts

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