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FERL achieves a 2.6% accuracy boost over state-of-the-art rule learners while providing interpretable, abstention-capable outputs directly from a single inference pass.
Gaussian partitions in fuzzy regression can achieve 86% predictive accuracy while maintaining interpretable rule bases of just 10-15 rules.
Swapping concept detectors in CBMs reveals that high task accuracy can mask significant reliability issues, but a novel training strategy can nearly eliminate this leakage.
Fuzzy rules reveal how CLIP encodes domain-specific features in clinical reports and film reviews, offering a peek inside the black box of multimodal embeddings.