2026
EMMS: Evidential Multi-Label Multi-Dimensional Selection
IJCAI 2026
Multi-label data often contain high-dimensional features, outlier instances, and noisy labels, all of which can lead to the curse of dimensionality and decreased performance in downstream tasks. Although numerous data reduction methods have been developed, existing approaches face two major limitati