Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty
Quantification

Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification

29 December 2020

Paolo Tonella

Papers citing "Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification"

9 / 9 papers shown

Title
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification Ruben Grewal Paolo Tonella Andrea Stocco 48 12 0 29 Apr 2024
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines Michael Weiss Paolo Tonella BDL UQCV 30 11 0 14 Dec 2022
CheapET-3: Cost-Efficient Use of Remote DNN Models Michael Weiss 36 1 0 24 Aug 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing Michael Weiss A. Gómez Paolo Tonella AAML 18 6 0 21 Jul 2022
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study) Michael Weiss Paolo Tonella AAML 18 50 0 02 May 2022
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving Ferhat Ozgur Catak T. Yue Shaukat Ali 25 21 0 11 Jul 2021
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring Michael Weiss Paolo Tonella AAML 48 29 0 01 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015