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Evaluating Input Attribution Methods in Machine Learning - Plausibility and Comprehensiveness

Evaluating Input Attribution Methods in Machine Learning - Plausibility and Comprehensiveness

UofU Data Science via YouTube Direct link

Comprehensiveness & Sufficiency

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Comprehensiveness & Sufficiency

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Evaluating Input Attribution Methods in Machine Learning - Plausibility and Comprehensiveness

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  1. 1 Recap: Gradient-based highlights/input attribution so-far
  2. 2 Plausibility
  3. 3 Comprehensiveness & Sufficiency
  4. 4 Erasure, ROAR, Recursive-ROAR

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