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Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts
We focus on confounding by provenance, a form of distribution shift that emerges in the context of multi-institutional datasets when there are differences in source-specific language use and class distributions.
Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes
Identifying the reasons for antibiotic administration in veterinary records is a critical component of understanding antimicrobial usage patterns.
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