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Found 3 papers, 1 papers with code
Trust Regions for Explanations via Black-Box Probabilistic Certification
fidelity, stability), can we find the largest hypercube (i. e., $\ell_{\infty}$ ball) centered at the example such that when the explanation is applied to all examples within the hypercube, (with high probability) a quality criterion is met (viz.
Interpretable Differencing of Machine Learning Models
Understanding the differences between machine learning (ML) models is of interest in scenarios ranging from choosing amongst a set of competing models, to updating a deployed model with new training data.
Automated Testing of AI Models
The last decade has seen tremendous progress in AI technology and applications.
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