Dubey A., Radenovic F., Mahajan D., Interpretability via Polynomials, NeurIPS 2022, [arxiv]
which introduces an efficient architecture called Scalable Polynomial Additive Models (SPAM) aiming to balance high expressivity and interpretability. Interesting work that resembles more traditional ML and proposes an alternative to DNNs.
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NeurIPS 2022 poster of the paper:
Dubey A., Radenovic F., Mahajan D., Interpretability via Polynomials, NeurIPS 2022, [arxiv]
which introduces an efficient architecture called Scalable Polynomial Additive Models (SPAM) aiming to balance high expressivity and interpretability. Interesting work that resembles more traditional ML and proposes an alternative to DNNs.