Instance-wise sparsity is learned via feature decay regularization to accelerate deep model inference by pruning uninformative intermediate features per data instance.
Exploiting linear structure within convolutional networks for efficient evaluation
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Learning Instance-wise Sparsity for Accelerating Deep Models
Instance-wise sparsity is learned via feature decay regularization to accelerate deep model inference by pruning uninformative intermediate features per data instance.