DAVID combines a rebalanced variational autoencoder with a smoothed bootstrap in latent space to generate synthetic rare target values, improving imbalanced regression on tabular data.
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Data Augmentation with Variational Autoencoder for Imbalanced Dataset
DAVID combines a rebalanced variational autoencoder with a smoothed bootstrap in latent space to generate synthetic rare target values, improving imbalanced regression on tabular data.