A cross-layer fusion framework that reduces variance in TCAV concept-attribution scores, at the cost of some concept-signal drift toward 0.5.
Network dissection: Quantifying inter- pretability of deep visual representations
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GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability
A cross-layer fusion framework that reduces variance in TCAV concept-attribution scores, at the cost of some concept-signal drift toward 0.5.