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Found 2 papers, 2 papers with code
Binary Feature Mask Optimization for Feature Selection
However, no study has introduced a training-free framework for a generic ML model to select features while considering the importance of the feature subsets as a whole, instead of focusing on the individual features.
AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary Masking
In particular, we do the joint optimization and binary masking to continuously adapt the set of features and model parameters during the training process.
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