Abstract: Diffusion models are a powerful class of techniques in ML for generating realistic data, but they are highly prone to overfitting, especially with limited training data. While data ...
As artificial intelligence researchers exhaust the supply of real data on the web and in digitized archives, they are ...
Abstract: The field of medical machine learning has encountered the challenge of constructing a large-scale image database that includes both the anatomical variability and teaching labels because ...
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