DARTS DIFFERENTIABLE ARCHITECTURE SEARCH
DARTS: DIFFERENTIABLE ARCHITECTURE SEARCH 本文通过以可微的方式制定任务来解决架构搜索的可伸缩性挑战。与在离散不可微搜索空间上应用进化或强化学习的传统方法不同，我们的方法基于结构表示的连续松弛，允许使用梯度下降对结构进行有效搜索。在CIFAR-10、ImageNet、Penn-Treebank和WikiText-2上的大量实验表明，我们的算法在发现用于图像分
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相关文章
- 1. DARTS: Differentiable Architecture Search
- 2. 论文笔记：DARTS: Differentiable Architecture Search
- 3. 基于darts改进的Progressive Differentiable Architecture Search
- 4. 论文笔记系列-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 论文笔记
- 7. Progressive Differentiable Architecture SearchBridging the Depth Gap between Search and Evaluation
- 8. @论文笔记：Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
- 9. 论文阅读：FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
- 10. Research Guide for Neural Architecture Search