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Feature-attribution methods are used to determine if a neural network is working correctly when completing a task like image classification. MIT researchers developed a way to evaluate whether these feature-attribution methods are correctly identifying the features of an image that are important to a neural network’s prediction.

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Yilun Zhou ,Julie Shah ,Marco Tulio Ribeiro ,Microsoft Research ,Artificial Intelligence Laboratory ,Interactive Robotics Group ,National Science Foundation ,Computer Science ,Serena Booth ,National Science ,Explainable Artificial Intelligence ,Eature Attribution ,Image Classification ,

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