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Across ResNet12 and Conv64 in 5-way 1-shot and 5-shot evaluation, SAMPLESELECT gives the best OOD accuracy among the compared methods and improves the matched full-representation control by 4.90-8.38 percentage points.
Separating the learning of modal-homogeneity and modal-heterogeneity information can drastically improve the performance of multi-modal recommendation systems.