$\beta $-DARTS++:为代理强大的差分架构的双级规范化搜索

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Updated: Jan 16, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.9K

Peng Ye, Tong He, Baopu Li

    IEEE transactions on pattern analysis and machine intelligence
    |October 1, 2025
    PubMed
    概括

    贝塔-衰变规范化通过提高稳定性和概括性来增强神经架构搜索 (NAS). 这种方法应用于DARTS (可差异化架构搜索),也可以在各种代理设置中提高稳定性,从而提高性能.

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