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Found 2 papers, 1 papers with code
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
Learning models that generalize under different distribution shifts in medical imaging has been a long-standing research challenge.
What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus
Whereas much of the success of the current generation of neural language models has been driven by increasingly large training corpora, relatively little research has been dedicated to analyzing these massive sources of textual data.
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