OnEmbeddingsforNumericalFeatures inTabularDeepLearning

Neural Information Processing Systems 

Unlike traditional models, e.g., MLP,these architectures mapscalar valuesofnumerical features tohigh-dimensional embeddings before mixing them inthemain backbone.

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