Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2102.00902
Cited By
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring
1 February 2021
Michael Weiss
Paolo Tonella
AAML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring"
5 / 5 papers shown
Title
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Ruben Grewal
Paolo Tonella
Andrea Stocco
27
9
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
27
0
11 Jan 2024
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
S. Ramesh
13
5
0
03 Aug 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1