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Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates
[article]
2021
arXiv
pre-print
To interpret uncertainty estimates from differentiable probabilistic models, recent work has proposed generating a single Counterfactual Latent Uncertainty Explanation (CLUE) for a given data point where the model is uncertain, identifying a single, on-manifold change to the input such that the model becomes more certain in its prediction. We broaden the exploration to examine δ-CLUE, the set of potential CLUEs within a δ ball of the original input in latent space. We study the diversity of
arXiv:2112.02646v3
fatcat:iwazelszorcmjh3crlpgnhsr6m