Adds a trainable feature selection layer to NAM and NBM to cut computational cost, enable two-input interaction networks in high dimensions, and match or exceed state-of-the-art GAM performance.
In: 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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Neural Additive and Basis Models with Feature Selection and Interactions
Adds a trainable feature selection layer to NAM and NBM to cut computational cost, enable two-input interaction networks in high dimensions, and match or exceed state-of-the-art GAM performance.