Fail-Safe Execution of Deep Learning based Systems through Uncertainty
Monitoring

Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring

1 February 2021

Paolo Tonella

Papers citing "Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring"

11 / 11 papers shown

Title
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification Ruben Grewal Paolo Tonella Andrea Stocco 48 11 0 29 Apr 2024
A Closer Look at AUROC and AUPRC under Class Imbalance Matthew B. A. McDermott Lasse Hyldig Hansen Haoran Zhang Giovanni Angelotti Jack Gallifant 31 31 0 11 Jan 2024
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand S. Ramesh 25 5 0 03 Aug 2023
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks Ferhat Ozgur Catak Marc Brittain Murat Kuzlu Christine Serres UQCV 15 1 0 04 May 2023
CheapET-3: Cost-Efficient Use of Remote DNN Models Michael Weiss 25 1 0 24 Aug 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing Michael Weiss A. Gómez Paolo Tonella AAML 11 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 8 49 0 02 May 2022
A Review and Refinement of Surprise Adequacy Michael Weiss Rwiddhi Chakraborty Paolo Tonella AAML AI4TS 11 16 0 10 Mar 2021
Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification Michael Weiss Paolo Tonella UQCV 13 20 0 29 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015