2 citations · 4 across the 8 of their papers we have counts for
3 papers · 1 filter
Shortcut Mitigation via Spurious-Positive Samples
Phuong Quynh Le, Jörg Schlötterer, Sari Sadiya +2
Shortcut mitigation strategies commonly rely on training data annotations, group-balanced held-out data or the presence of all groups, i.e., all combinations of (spurious) attribut…
An XAI-based Analysis of Shortcut Learning in Neural Networks
Phuong Quynh Le, Jörg Schlötterer, Christin Seifert
Machine learning models tend to learn spurious features - features that strongly correlate with target labels but are not causal. Existing approaches to mitigate models' dependence…
Parallel Total Variation Distance Estimation with Neural Networks for Merging Over-Clusterings
Christian Reiser, Jörg Schlötterer, Michael Granitzer
We consider the initial situation where a dataset has been over-partitioned into clusters and seek a domain independent way to merge those initial clusters. We identify the tot…