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Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes

Single-Model Uncertainties for Deep Learning

NeurIPS 2019 · Probabilistic and scientific modeling › Uncertainty and Gaussian processes · approach: Single-model predictive uncertainty · 74 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use SQR rather than ConditionalGaussian for interval widthSQR · concreteMPIW: 0.32 ±0.09 -> 0.31 ±0.06Helped
Use SQR rather than ConditionalGaussian for interval widthSQR · powerMPIW: 0.18 ±0.00 -> 0.18 ±0.01No clear effect
Use SQR rather than ConditionalGaussian for interval widthSQR · wineMPIW: 0.49 ±0.03 -> 0.45 ±0.04Helped
Use SQR rather than ConditionalGaussian for interval widthSQR · yachtMPIW: 0.03 ±0.01 -> 0.06 ±0.04Hurt
Use SQR rather than ConditionalGaussian for interval widthSQR · navalMPIW: 0.15 ±0.25 -> 0.12 ±0.09Helped
Use SQR rather than ConditionalGaussian for interval widthSQR · energyMPIW: 0.12 ±0.18 -> 0.08 ±0.03Helped
Use SQR rather than ConditionalGaussian for interval widthSQR · bostonMPIW: 0.55 ±0.20 -> 0.36 ±0.09Helped
Use SQR rather than ConditionalGaussian for interval widthSQR · kin8nmMPIW: 0.20 ±0.01 -> 0.23 ±0.02Hurt
Use OCs instead of entropy for OOD detectionOCs · CIFAR-10ROC AUC: 0.80 ± 0.01 -> 0.83 ± 0.01Helped
Use OCs instead of BALD for OOD detectionOCs · Fashion-MNISTROC AUC: 0.95 ± 0.02 -> 0.92 ± 0.00Hurt
Use OCs instead of BALD for OOD detectionOCs · MNISTROC AUC: 0.95 ± 0.02 -> 0.95 ± 0.00No clear effect
Use OCs instead of entropy for OOD detectionOCs · SVHNROC AUC: 0.93 ± 0.01 -> 0.91 ± 0.00Hurt

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