Measuring Memory and Generalization as Separable Geometric Channels: The Topo^2 Framework
Topo^2, a measurement framework that makes deep networks causally separable, measurable, and law-governed, and turns"memorization" from an ill-defined capacity into a measurable, separable, invertible topological layer.
Zhang Zhang, Ming Liu, Qing Wang
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