Eigenvector Alignment, Not Training Error, Predicts How Kernel Machines Generalize
A new theoretical study shows that in kernel ridge regression, generalization hinges on the alignment between learning targets and the ...
A new theoretical study shows that in kernel ridge regression, generalization hinges on the alignment between learning targets and the ...
A standardized benchmark of six convolutional neural networks shows that the most accurate pneumonia-detecting models also produce the most faithful ...
A new theoretical framework separates computational speed from statistical generalization in quantum machine learning, showing that faster quantum algorithms alone ...
Researchers have developed SLAW, a training framework that adapts label smoothing to the sharpness of the loss landscape and reweights ...
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© 2026 Scienmag - Science Magazine