[論文解讀] Cross-Entropy Based Testing
Cross-Entropy Based Testing 文章目錄 Cross-Entropy Based Testing 簡介 摘要 介紹 CE 測試方法流程 用途舉例 背景 優化問題中的交叉熵方法 交叉熵公式 基於CE方法對圖形優化問題的應用 性能函數 概率更新方法 預備定義 將交叉熵用於測試 算法 算法流程 各部分組成 改進性能的啓發式 應用 簡介 論文標題 Cross-Entropy Bas
相關文章
- 1. [論文解讀] Concolic Testing for Deep Neural Networks
- 2. [論文解讀]Comparing the Effectiveness of Testing Techniques
- 3. [論文解讀]Towards Improved Testing For Deep Learning
- 4. PointINS: Point-based Instance Segmentation論文解讀
- 5. [論文解讀]Adaptive Random Testing: The ART of test case diversity
- 6. [論文解讀]Boosting Operational DNN Testing Efficiency through Conditioning
- 7. Face R-CNN論文解讀
- 8. [論文解讀] DLFuzz: Differential Fuzzing Testing of Deep Learning Systems
- 9. [論文解讀]Feature-Guided Black-Box Safety Testing of Deep Neural Networks
- 10. [論文解讀] DeepCT:Tomographic Combinatorial Testing for Deep Learning Systems
- 更多相關文章...
- • C# 文本文件的讀寫 - C#教程
- • *.hbm.xml映射文件詳解 - Hibernate教程
- • JDK13 GA發佈：5大特性解讀
- • Scala 中文亂碼解決
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. [論文解讀] Concolic Testing for Deep Neural Networks
- 2. [論文解讀]Comparing the Effectiveness of Testing Techniques
- 3. [論文解讀]Towards Improved Testing For Deep Learning
- 4. PointINS: Point-based Instance Segmentation論文解讀
- 5. [論文解讀]Adaptive Random Testing: The ART of test case diversity
- 6. [論文解讀]Boosting Operational DNN Testing Efficiency through Conditioning
- 7. Face R-CNN論文解讀
- 8. [論文解讀] DLFuzz: Differential Fuzzing Testing of Deep Learning Systems
- 9. [論文解讀]Feature-Guided Black-Box Safety Testing of Deep Neural Networks
- 10. [論文解讀] DeepCT:Tomographic Combinatorial Testing for Deep Learning Systems