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A comment on Why do tree-based models still outperform deep learning on tabular data? (2022). Parent comment
einsum('bf,fc->bfc', batched_inputs, channel_embedding)
Then carry that info through the network and project it down at the end. It's roughly equivalent to the token embedding step in an LLM.
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einsum('bf,fc->bfc', batched_inputs, channel_embedding)
Then carry that info through the network and project it down at the end. It's roughly equivalent to the token embedding step in an LLM.