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</html><description>Description: Out-of-distribution (OOD) detection refers to the task of identifying whether a sample comes from the same distribution as the training data. This concept is crucial in the field of machine learning, especially in neural networks and convolutional neural networks, where models are trained on a specific dataset. The ability of a model to generalize [&hellip;]</description></oembed>
