DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation

Standard few-shot learning methods employ geometric similarity metrics such as cosine similarity and negative Euclidean distance to gauge the semantic relatedness between two features.