Abstract: N-shot neural architecture search (NAS) exploits a supernet containing all candidate subnets for a given search space. The subnets are typically trained with a static training strategy (e.g.
When a critter has no discernible front or back and is blind to shape, it unsettles our grasp of form and function.
Abstract: In industrial environments, cyber threats are escalating at an unprecedented rate, yet many existing security solutions fail to account for both contextual factors and the criticality of ...
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