CACTI combines median-truncated copy masking with language-model column embeddings to improve tabular imputation accuracy across MCAR, MAR, and MNAR missingness.
Remasker: Imputing tabular data with masked autoencoding
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CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation
CACTI combines median-truncated copy masking with language-model column embeddings to improve tabular imputation accuracy across MCAR, MAR, and MNAR missingness.