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Towards Structured Evaluation of Deep Neural Network Supervisors

Towards Structured Evaluation of Deep Neural Network Supervisors

4 March 2019
Jens Henriksson
C. Berger
Markus Borg
Lars Tornberg
Cristofer Englund
S. Sathyamoorthy
Stig Ursing
    AAML
ArXivPDFHTML

Papers citing "Towards Structured Evaluation of Deep Neural Network Supervisors"

13 / 13 papers shown
Title
System Safety Monitoring of Learned Components Using Temporal Metric
  Forecasting
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
Sepehr Sharifi
Andrea Stocco
Lionel C. Briand
AI4TS
53
1
0
21 May 2024
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Ruben Grewal
Paolo Tonella
Andrea Stocco
50
12
0
29 Apr 2024
Uncertainty Quantification for Deep Neural Networks: An Empirical
  Comparison and Usage Guidelines
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines
Michael Weiss
Paolo Tonella
BDL
UQCV
32
11
0
14 Dec 2022
CheapET-3: Cost-Efficient Use of Remote DNN Models
CheapET-3: Cost-Efficient Use of Remote DNN Models
Michael Weiss
38
1
0
24 Aug 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN
  Supervision Testing
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing
Michael Weiss
A. Gómez
Paolo Tonella
AAML
20
6
0
21 Jul 2022
AEON: A Method for Automatic Evaluation of NLP Test Cases
AEON: A Method for Automatic Evaluation of NLP Test Cases
Jen-tse Huang
Jianping Zhang
Wenxuan Wang
Pinjia He
Yuxin Su
Michael R. Lyu
45
23
0
13 May 2022
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a
  Pedestrian Automatic Emergency Brake System
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System
Markus Borg
Jens Henriksson
Kasper Socha
Olof Lennartsson
Elias Sonnsjo Lonegren
T. Bui
Piotr Tomaszewski
S. Sathyamoorthy
Sebastian Brink
M. H. Moghadam
35
23
0
16 Apr 2022
Exploring ML testing in practice -- Lessons learned from an interactive
  rapid review with Axis Communications
Exploring ML testing in practice -- Lessons learned from an interactive rapid review with Axis Communications
Qunying Song
Markus Borg
Emelie Engström
H. Ardö
Sergio Rico
14
10
0
30 Mar 2022
Evaluation of Runtime Monitoring for UAV Emergency Landing
Evaluation of Runtime Monitoring for UAV Emergency Landing
Joris Guérin
Kevin Delmas
Jérémie Guiochet
41
13
0
07 Feb 2022
Benchmarking Safety Monitors for Image Classifiers with Machine Learning
Benchmarking Safety Monitors for Image Classifiers with Machine Learning
Raul Sena Ferreira
J. Arlat
Jérémie Guiochet
H. Waeselynck
48
26
0
04 Oct 2021
How to Certify Machine Learning Based Safety-critical Systems? A
  Systematic Literature Review
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
37
66
0
26 Jul 2021
Performance Analysis of Out-of-Distribution Detection on Various Trained
  Neural Networks
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks
Jens Henriksson
C. Berger
Markus Borg
Lars Tornberg
S. Sathyamoorthy
Cristofer Englund
OODD
22
17
0
29 Mar 2021
Structure-Invariant Testing for Machine Translation
Structure-Invariant Testing for Machine Translation
Pinjia He
Clara Meister
Z. Su
27
104
0
19 Jul 2019
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