Decorr: Environment partitioning for invariant learning and ood generalization
Invariant learning methods, aimed at identifying a consistent predictor across multiple
environments, are gaining prominence in out-of-distribution (OOD) generalization. Yet, when …
environments, are gaining prominence in out-of-distribution (OOD) generalization. Yet, when …
ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology
Differences in staining and imaging procedures can cause significant color variations in
histopathology images, leading to poor generalization when deploying deep-learning …
histopathology images, leading to poor generalization when deploying deep-learning …
Environment Partitioning For Invariant Learning By Decorrelation
Y Liao, WU Qi, YAN Xing - openreview.net
Invariant learning methods try to find an invariant predictor across several environments and
have become popular in OOD generalization. However, in situations where environments do …
have become popular in OOD generalization. However, in situations where environments do …