DNF-Net: A Neural Architecture for Tabular Data

Abutbul Ami
Abutbul Ami
Katzir Liran
Katzir Liran
Cited by: 0|Bibtex|Views7
Other Links: arxiv.org

Abstract:

A challenging open question in deep learning is how to handle tabular data. Unlike domains such as image and natural language processing, where deep architectures prevail, there is still no widely accepted neural architecture that dominates tabular data. As a step toward bridging this gap, we present DNF-Net a novel generic architecture...More

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