A cross-layer fusion framework that reduces variance in TCAV concept-attribution scores, at the cost of some concept-signal drift toward 0.5.
Concept whitening for interpretable image recognition.Nature Machine Intelli- gence, 2(12):772–782, 2020
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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.