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University of Information Technology, Viet Nam National University Ho Chi
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Model merging can drastically enhance continual learning for survival analysis, outperforming traditional methods while preserving privacy and reducing costs.
Adapting models at test time can significantly boost performance in continual learning for computational pathology, but task order matters more than you might think.