Synthetic dataset for inﬁnite-label learning

doi:doi:10.57702/mtwcehr7

Synthetic dataset for inﬁnite-label learning

The dataset used in the paper is a synthetic dataset for inﬁnite-label learning. It consists of 500 training data points and 1000 testing data points from a ﬁve-component Gaussian mixture model. The dataset also includes 10 seen labels and 2990 unseen labels.

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Yang Zhang, Rupam Acharyya, Ji Liu, Boqing Gong (2024). Dataset: Synthetic dataset for inﬁnite-label learning. https://doi.org/10.57702/mtwcehr7

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.1608.06608
Author	Yang Zhang
More Authors	Rupam Acharyya Ji Liu Boqing Gong