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Found 2 papers, 2 papers with code
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Out-of-distribution (OOD) detection methods often exploit auxiliary outliers to train model identifying OOD samples, especially discovering challenging outliers from auxiliary outliers dataset to improve OOD detection.
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification
Second, the quality of the imputed data itself is of high uncertainty.
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