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A diffusion model can generate high-quality synthetic chromosome images, boosting anomaly detection by nearly 14% F1 score and reducing reliance on scarce real-world abnormal samples.
Mixing easy and hard examples during recommender pre-ranking hurts performance, but this new method disentangles them to boost user engagement by 0.4% in a real-world deployment.
