arxiv
PublishedApril 29, 2026 at 4:00 AM
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Out of Spuriousity: Improving Robustness to Spurious Correlations without Group Annotations
Publisher summary· verbatim
arXiv:2407.14974v2 Announce Type: replace-cross Abstract: Machine learning models are known to learn spurious correlations, i.e., features having strong relations with class labels but no causal relation. Relying on those correlations leads to poor performance in the data groups without these correl
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Originally published on arxiv ↗