computer-vision-20
Extreme Multi-Label Classification
3260 papers • 126 benchmarks • 313 datasets
Extreme Multi-Label Classification is a supervised learning problem where an instance may be associated with multiple labels. The two main problems are the unbalanced labels in the dataset and the amount of different labels.
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