Multilabel Classification

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Knowing what you know: valid confidence sets in multiclass and multilabel prediction (2020, background): “[4, 35]) and those more common multilabel predictors—in particular, those based on neural networks—that learn and output per-task scores sk : X → R for each task [16, 25].”
Knowing what You Know: valid and validated confidence sets in multiclass and multilabel prediction (2020, background): “…individual scoring functions s k : X → R for each task k ∈ [ K ] (as frequent for complex classiﬁers, such as random forests or deep networks, see e.g. Herrera et al., 2016; Read et al., 2011), while the second considers the case when we have a scoring function s : X × Y → R that is…”