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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.
Reputation-aware consensus algorithms can significantly enhance fairness in blockchain networks, allowing validators to learn from past mistakes without the burden of additional computational costs.
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.
