Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification
The article ‘Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification’ discusses a common issue in multi-label classification (MLC) tasks, the ‘Sigmoid Bottleneck’. This refers to the occurrence of ‘unargmaxable’…
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