《CARS: Continuous Evolution for Efficient Neural Architecture Search》阅读记录

时间 2020-12-24

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现有的三类搜索方法的优缺点 1、Evolution Algorithm(EA) based: time-consuming. 2、Reinforcement Learning(RL) based: make the searching stage less efficient. 3、Gradient based: lack of variety. PS: HHH, 我现在的方法是不是属于第四类了，

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1. Regularized Evolution for Image Classifier Architecture Search--阅读笔记
2. Efficient Neural Architecture Search via Parameter Sharing
3. Neural architecture search
4. 【论文阅读笔记】Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
5. Research Guide for Neural Architecture Search
6. NASE Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search 阅读笔记
7. AutoGAN: Neural Architecture Search for Generative Adversarial Networks阅读笔记
8. 论文笔记系列-Simple And Efficient Architecture Search For Neural Networks
9. Progressive Neural Architecture Search（论文阅读）
10. Video Architecture Search

>>更多相关文章<<