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Found 2 papers, 2 papers with code
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints
REDS support conventional deep networks frequently deployed on the edge and provide computational benefits even for small and simple networks.
Studying the impact of magnitude pruning on contrastive learning methods
We study the impact of different pruning techniques on the representation learned by deep neural networks trained with contrastive loss functions.
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