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Found 2 papers, 1 papers with code
Contextual Feature Selection with Conditional Stochastic Gates
We study the problem of contextual feature selection, where the goal is to learn a predictive function while identifying subsets of informative features conditioned on specific contexts.
DiSC: Differential Spectral Clustering of Features
Selecting subsets of features that differentiate between two conditions is a key task in a broad range of scientific domains.
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