Deep Tabular Learning
TabNN
Introduced by Ke et al. in TabNN: A Universal Neural Network Solution for Tabular DataTabNN 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.
Source: TabNN: A Universal Neural Network Solution for Tabular Data
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
