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This paper takes a fully probabilistic approach by modeling the joint distribution over questions and inputs, defining uncertainty as a function of p(x∣y) to quantify the diversity of inputs that could lead to a specific output. It further proves the importance of perturbations in measuring uncertainty and introduces a method to generate ...
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