@论文笔记：Stabilizing Differentiable Architecture Search via Perturbation-based Regularization

时间 2021-01-02

标签 NAS 繁體版

原文原文链接

@论文笔记：Stabilizing Differentiable Architecture Search via Perturbation-based Regularization 发表会议：ICML2020 动机：尽管DARTS由于将架构搜索问题转化为连续优化问题并对转化后的双重优化问题作了近似从而极大加速了搜索效率，但其方法却展现了较大的不稳定性，尤其是在一些新问题上。前人实验发现海森矩阵的特

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1. 论文笔记：DARTS: Differentiable Architecture Search
2. 论文笔记系列-DARTS: Differentiable Architecture Search
3. DARTS DIFFERENTIABLE ARCHITECTURE SEARCH
4. DARTS: Differentiable Architecture Search
5. Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition 论文笔记
6. 基于darts改进的Progressive Differentiable Architecture Search
7. 论文笔记：Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
8. 【论文笔记】Efficient Neural Architecture Search via Parameter Sharing
9. ENAS--Efficient Neural Architecture Search via Parameter Sharing(论文笔记)
10. 论文笔记系列-Efficient Neural Architecture Search via Parameter Sharing

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