A learnable per-label, per-instance threshold penalty that subtracts an IDF plus batch-label KNN signal from logits achieves 0.1712 macro-F1 on AmazonCat-13K, but the KNN signal leaks labels and no test-time procedure is given.
Kan and rinscut: Lazy linear classifier and rank-in-score threshold in similarity-based text categorization
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Adaptive Thresholding for Multi-Label Classification via Global-Local Signal Fusion
A learnable per-label, per-instance threshold penalty that subtracts an IDF plus batch-label KNN signal from logits achieves 0.1712 macro-F1 on AmazonCat-13K, but the KNN signal leaks labels and no test-time procedure is given.