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Understanding Black-box Predictions via Influence Functions

Understanding Black-box Predictions via Influence Functions

arxiv.org

Understanding Black-box Predictions via Influence Functions Figure 1. Components of influence. (a) What is the effect of the training loss and H 1 ^ terms in I up,loss? Here, we plot I up,loss against variants that are missing these terms and show that they are necessary for picking up the truly influential training points. For these

  Understanding, Black, Understanding black box

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