@論文筆記：Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
@論文筆記：Stabilizing Differentiable Architecture Search via Perturbation-based Regularization 發表會議：ICML2020 動機：儘管DARTS由於將架構搜索問題轉化爲連續優化問題並對轉化後的雙重優化問題作了近似從而極大加速了搜索效率，但其方法卻展現了較大的不穩定性，尤其是在一些新問題上。前人實驗發現海森矩陣的特
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相關文章
- 1. 論文筆記：DARTS: Differentiable Architecture Search
- 2. 論文筆記系列-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 論文筆記
- 6. 基於darts改進的Progressive Differentiable Architecture Search
- 7. 論文筆記：Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
- 8. 【論文筆記】Efficient Neural Architecture Search via Parameter Sharing
- 9. ENAS--Efficient Neural Architecture Search via Parameter Sharing(論文筆記)
- 10. 論文筆記系列-Efficient Neural Architecture Search via Parameter Sharing