Methods › General › Deep Tabular Learning › TabNN
TabNN
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
TabNN is a universal neural network solution to derive effective NN architectures for tabular data in all kinds of tasks automatically. Specifically, the design of TabNN follows two principles: to explicitly leverage expressive feature combinations and to reduce model complexity. Since GBDT has empirically proven its strength in modeling tabular data, GBDT is used to power the implementation of TabNN.
Papers archive 2025-07-28
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TabNN: A Universal Neural Network Solution for Tabular Data 1 May 2019 · 0 repositories
Tasks archive 2025-07-28
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Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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