Search results with tag "Understanding black box predictions via"

Understanding Black-box Predictions via Influence Functions

Understanding Black-box Predictions via Influence Functions 2. Approach Consider a prediction problem from some input space X (e.g., images) to an output space Y(e.g., labels).

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