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University of Basel
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A cheap diagnostic predicts model alignment and merging success with $0.91$ correlation, eliminating costly empirical search.
Selecting the right image can boost dermatology model accuracy by an average of 20 percentage points, but existing methods struggle to close the gap to optimal performance.
Neural networks may not converge to a single "Platonic" representation of reality, but they do seem to agree on local neighborhood relationships, suggesting a more nuanced "Aristotelian" view.