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This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks
Deep neural networks that yield human interpretable decisions by architectural design have lately become an increasingly popular alternative to post hoc interpretation of traditional black-box models.
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