A Short Chronology Of Deep Learning For Tabular Data
Read OriginalThis article provides a reverse-chronological overview of key research papers on applying deep learning to tabular data. It acknowledges that while deep learning excels with unstructured data, recent methods like transformers and diffusion models are being developed for tabular datasets, and it serves as a living reference for these emerging techniques.
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