AOWS: Adaptive and optimal network width search with latency constraints

CVPR, pp. 11214-11223, 2020.

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In this paper we propose a novel efficient one-shot neural architecture search approach to optimally search CNN channel numbers, given latency constraints on a specific hardware

Abstract:

Neural architecture search (NAS) approaches aim at automatically finding novel CNN architectures that fit computational constraints while maintaining a good performance on the target platform. We introduce a novel efficient one-shot NAS approach to optimally search for channel numbers, given latency constraints on a specific hardware. W...More

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