A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment

2 August 2024

Papers citing "A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment"

7 / 7 papers shown

Title
Probabilistic Calibration by Design for Neural Network Regression V. Dheur Souhaib Ben Taieb 22 3 0 18 Mar 2024
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection Muhammad Akhtar Munir Muhammad Haris Khan Salman Khan F. Khan UQCV 30 15 0 25 Mar 2023
What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability John Kirchenbauer Jacob Oaks Eric Heim UQCV 31 4 0 23 May 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 0 21 Oct 2021
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification Youngseog Chung I. Char Han Guo J. Schneider W. Neiswanger 30 70 0 21 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015