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Interactive Analysis of CNN Robustness

Interactive Analysis of CNN Robustness

14 October 2021
Stefan Sietzen
Mathias Lechner
Judy Borowski
Ramin Hasani
Manuela Waldner
    AAML
ArXivPDFHTML

Papers citing "Interactive Analysis of CNN Robustness"

5 / 5 papers shown
Title
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI
Qi Huang
Emanuele Mezzi
Osman Mutlu
Miltiadis Kofinas
Vidya Prasad
Shadnan Azwad Khan
Elena Ranguelova
Niki van Stein
45
0
0
17 Jul 2024
Visual Analytics For Machine Learning: A Data Perspective Survey
Visual Analytics For Machine Learning: A Data Perspective Survey
Junpeng Wang
Shixia Liu
Wei Zhang
HAI
29
17
0
15 Jul 2023
Interpreting Neural Policies with Disentangled Tree Representations
Interpreting Neural Policies with Disentangled Tree Representations
Tsun-Hsuan Wang
Wei Xiao
Tim Seyde
Ramin Hasani
Daniela Rus
DRL
27
2
0
13 Oct 2022
How Well do Feature Visualizations Support Causal Understanding of CNN
  Activations?
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Roland S. Zimmermann
Judy Borowski
Robert Geirhos
Matthias Bethge
Thomas S. A. Wallis
Wieland Brendel
FAtt
44
31
0
23 Jun 2021
Analyzing the Noise Robustness of Deep Neural Networks
Analyzing the Noise Robustness of Deep Neural Networks
Kelei Cao
Mengchen Liu
Hang Su
Jing Wu
Jun Zhu
Shixia Liu
AAML
60
89
0
26 Jan 2020
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