arXiv cs.LG
· Papers
A Spectral Phase Diagram for Binary Few-Shot Classification: Intrinsic Dimensionality, Geometric Saturation, and Representational Diagnosis
arXiv:2606.24903v1 Announce Type: new Abstract: Deciding when to stop collecting labeled examples is a fundamental but undertheorized problem in applied machine learning. The saturation index $S(K) = operatorname{erank}(widehat{Sigma}_W^{(K)}) / K$ measures the ratio of the effective rank of the pooled within-class