2 papers
cs.LG2026
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…
cs.LG2025
Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers
Lukas Kuhn, Sari Sadiya, Jorg Schlotterer +3
Shortcut learning, i.e., a model's reliance on undesired features not directly relevant to the task, is a major challenge that severely limits the applications of machine learning…