We propose a task-driven EC-based NAS framework to seek cost-effective and high-performance lightweight networks, and design dynamic inference for the searched ...
Specifically, we build a SAR-tailored search space, explore topology pruning-based mutation operators to search lightweight architectures, and further design a ...
Nov 1, 2023 · We propose a task-driven EC-based NAS framework to seek cost-effective and high-performance lightweight networks, and design dynamic inference ...
Neural Architecture Search (NAS) is quickly becoming the go-to approach to optimize the structure of Deep Learning (DL) models for complex tasks such as Image ...
Knowledge transfer evolutionary search for lightweight neural architecture with dynamic inference · Xiaoxue Qian, F. Liu, +5 authors. Xu Liu · Published in ...
Knowledge transfer evolutionary search for lightweight neural architecture with dynamic inference ... Authors: Xiaoxue Qian; Fang Liu; Licheng Jiao; Xiangrong ...
To address these issues, we introduce evolutionary computation (EC) and attention mechanism and propose a knowledge transfer evolutionary search for lightweight ...
Knowledge transfer evolutionary search for lightweight neural architecture with dynamic inference, PR(143), 2023, pp. 109790. Elsevier DOI 2310. Neural ...
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In this article, we present a fast ENAS framework for multiscale convolutional networks based on evolutionary knowledge transfer search (EKTS). This framework ...
This study proposes an evolutionary knowledge-reconstruction-assisted method for neural network architecture searches. First, a search space construction method ...