Symbol phi
phi is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
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This kind of benchmark descends from an older and more basic validation move: check whether an explanation changes when it should have to. Adebayo and colleagues showed that several popular saliency methods for image classifiers produce visually similar output whether the underlying model has been trained at all or left at its random initialization, meaning the “explanation” was substantially independent of what training had actually done [ 6 ] . Stated as a minimal necessary condition, if are a trained model’s weights, the same architecture reinitialized at random, and the explanation a method produces for input x under model f , then a method worth…
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Symbol f_θ
f_θ is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
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x is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Read this term in its guide →Symbol f_theta_rand
hetand is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
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Equation 6 · AI Research
How Do We Know an Interpretability Claim Is Actually Right?
This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.
This kind of benchmark descends from an older and more basic validation move: check whether an explanation changes when it should have to. Adebayo and colleagues showed that several popular saliency methods for image classifiers produce visually similar output whether the underlying model has been trained at all or left at its random initialization, meaning the “explanation” was substantially independent of what training had actually done [ 6 ] . Stated as a minimal necessary condition, if are a trained model’s weights, the same architecture reinitialized at random, and the explanation a method produces for input x under model f , then a method worth…
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