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nucLeaRStarcraft t1_j6nunti wrote

There's also this survey of DL vs traditional methods for tabular data: https://arxiv.org/pdf/2110.01889.pdf

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qalis t1_j6o6cou wrote

That's a nice paper. There is also an interesting, but very niche line of using gradient boosting as a classification head for neural networks. Gradient flows through it normally, after all, just tree addition is used instead of gradient descent steps. But sadly I could not find any trustworthy open sourced implementation of this approach. If this works, it could bridge a gap between deep learning and boosting models.

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