Constrained Concept Refinement slightly adjusts concept embeddings under a small-radius constraint, improving accuracy of explainable classifiers and cutting training time by about 10x on large image benchmarks.
Simple, efficient, and neural algorithms for sparse coding
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Enhancing Performance of Explainable AI Models with Constrained Concept Refinement
Constrained Concept Refinement slightly adjusts concept embeddings under a small-radius constraint, improving accuracy of explainable classifiers and cutting training time by about 10x on large image benchmarks.