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Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
Quantifying the degree of similarity between images is a key copyright issue for image-based machine learning.
AI Model Disgorgement: Methods and Choices
One potential fix for training corpus data defects is model disgorgement -- the elimination of not just the improperly used data, but also the effects of improperly used data on any component of an ML model.
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