2 papers
cs.LG2025
Mitigating Shortcut Learning with InterpoLated Learning
Michalis Korakakis, Andreas Vlachos, Adrian Weller
Empirical risk minimization (ERM) incentivizes models to exploit shortcuts, i.e., spurious correlations between input attributes and labels that are prevalent in the majority of th…
cs.LG2024
ALVIN: Active Learning Via INterpolation
Michalis Korakakis, Andreas Vlachos, Adrian Weller
Active Learning aims to minimize annotation effort by selecting the most useful instances from a pool of unlabeled data. However, typical active learning methods overlook the prese…