DARTS: Differentiable Architecture Search
《DARTS: Differentiable Architecture Search》 簡介： 可微的方式 我們的方法是基於結構表示的連續鬆弛，允許使用梯度下降有效地搜索結構。 貢獻： 1:介紹了一種適用於卷積結構和遞歸結構的可微網絡結構搜索的新算法。 2:通過對圖像分類和語言建模任務的廣泛實驗，我們發現基於梯度的體系結構搜索在cifar-10上取得了很好的競爭結果。 3:我們實現了顯著的架構搜索
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相關文章
- 1. DARTS DIFFERENTIABLE ARCHITECTURE SEARCH
- 2. 論文筆記：DARTS: Differentiable Architecture Search
- 3. 基於darts改進的Progressive Differentiable Architecture Search
- 4. 論文筆記系列-DARTS: Differentiable Architecture Search
- 5. PC-DARTS Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
- 6. Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition 論文筆記
- 7. Progressive Differentiable Architecture SearchBridging the Depth Gap between Search and Evaluation
- 8. @論文筆記：Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
- 9. 論文閱讀：FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
- 10. Research Guide for Neural Architecture Search