[reliable] (paper 8) Can You Trust Your Model’s Uncertainty\? Evaluating Predictive Uncertainty Under Data Shift
Can You Trust Your Model’s Uncertainty? Evaluating Predictive Uncertainty Under Data Shift
Reliable Deep Learning
[reliable] (paper 6) A Simple Baseline for Bayesian Uncertainty in Deep Learning
Deep Learning Uncertainty, Deep Ensembles, Predictive Uncertainty
[reliable] (paper 5) Accurate Uncertainties for Deep Learning Using Calibrated Regression
Deep Learning Uncertainty, Deep Ensembles, Predictive Uncertainty
[reliable] (paper 4) Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Confidence-calibrated Classifiers, Out-of-Distribution
[reliable] (paper 3) Enhancing the Reliability of Out-of-distribution Image detection in Neural Networks
ODIN, Out-of-distribution detection
[reliable] (paper 2) Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Deep Learning Uncertainty, Deep Ensembles, Predictive Uncertainty
[reliable] (paper 1) On Calibration of Modern Neural Networks
Deep Learning Uncertainty, Calibration