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Reimagining Anomalies: What If Anomalies Were Normal?

Reimagining Anomalies: What If Anomalies Were Normal?

Philipp Liznerski
Saurabh Varshneya
Ece Calikus
Sophie Fellenz
Marius Kloft
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Papers citing "Reimagining Anomalies: What If Anomalies Were Normal?"

5 / 5 papers shown
Title
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations
He Cheng
Depeng Xu
Shuhan Yuan
Xintao Wu
AI4TS
19
3
0
09 Oct 2022
Framing Algorithmic Recourse for Anomaly Detection
Framing Algorithmic Recourse for Anomaly Detection
Debanjan Datta
F. Chen
Naren Ramakrishnan
17
5
0
29 Jun 2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Philipp Liznerski
Lukas Ruff
Robert A. Vandermeulen
Billy Joe Franks
Klaus-Robert Muller
Marius Kloft
UQCV
33
44
0
23 May 2022
Explaining the Black-box Smoothly- A Counterfactual Approach
Explaining the Black-box Smoothly- A Counterfactual Approach
Junyu Chen
Yong Du
Yufan He
W. Paul Segars
Ye Li
MedIm
FAtt
63
83
0
11 Jan 2021
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,231
0
24 Jun 2017