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Found 3 papers, 1 papers with code
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?
Second, we study model generalization across geographies by measuring the disparities in performance across regions, a more fine-grained measure of real world generalization.
Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies
As an example, we show that mitigating a model's vulnerability to texture can improve performance on the lower income level.
Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare
The approaches by which the machine learning and clinical research communities utilize real world data (RWD), including data captured in the electronic health record (EHR), vary dramatically.
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