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Optimal Classification under Performative Distribution Shift
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This approach can also be integrated into various change-of-variable-based models, such as V AEs or normalizing flows.
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DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
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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.
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