《CARS: Continuous Evolution for Efficient Neural Architecture Search》閱讀記錄
現有的三類搜索方法的優缺點 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, 我現在的方法是不是屬於第四類了，
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相關文章
- 1. Regularized Evolution for Image Classifier Architecture Search--閱讀筆記
- 2. Efficient Neural Architecture Search via Parameter Sharing
- 3. Neural architecture search
- 4. 【論文閱讀筆記】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 閱讀筆記
- 7. AutoGAN: Neural Architecture Search for Generative Adversarial Networks閱讀筆記
- 8. 論文筆記系列-Simple And Efficient Architecture Search For Neural Networks
- 9. Progressive Neural Architecture Search（論文閱讀）
- 10. Video Architecture Search