13 citations · 23 across the 5 of their papers we have counts for
3 papers · 1 filter
Toward Simple and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance
Yuliia Kaidashova, Bettina Finzel, Ute Schmid
Understanding why a classification model prefers one class over another for an input instance is the challenge of contrastive explanation. This work implements concept-based contra…
CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition
Ines Rieger, Jaspar Pahl, Bettina Finzel +1
Neural networks are widely adopted, yet the integration of domain knowledge is still underutilized. We propose to integrate domain knowledge about co-occurring facial movements as…
Verifying Deep Learning-based Decisions for Facial Expression Recognition
Ines Rieger, Rene Kollmann, Bettina Finzel +2
Neural networks with high performance can still be biased towards non-relevant features. However, reliability and robustness is especially important for high-risk fields such as cl…