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Explaining high-dimensional text classifiers
Explainability has become a valuable tool in the last few years, helping humans better understand AI-guided decisions.
The Dimpled Manifold Model of Adversarial Examples in Machine Learning
We describe the results of numerous experiments which strongly support this new model, using both low dimensional synthetic datasets and high dimensional natural datasets.
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