DeepSim: Deep Learning Code Functional Similarity
DeepSim: Deep Learning Code Functional Similarity 代碼的功能相似性檢測 1、現存的大多數方法聚焦於代碼的語法相似性，功能相似性還是一個挑戰 （現存方法：都一般遵循相同的流程 首先從源代碼中提取語法特徵，以原始文本、tokens或者AST的形式 然後使用某個距離度量公式，如歐氏距離來檢測相似的代碼） 本文中提出的方法：將代碼的控制流和數據流編碼成一個
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相關文章
- 1. How to Use the Keras Functional API for Deep Learning
- 2. Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-ide
- 3. Applied Deep Learning Resources
- 4. Group Consistent Similarity Learning via Deep CRF for Person Re-Identification學習筆記
- 5. Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning based Registration
- 6. Deep Learning Models and Code for Pose Estimation
- 7. big code: Toward Deep Learning Software Repositories [MSR 2015]
- 8. Unsupervised Learning: Deep Auto-encoder
- 9. Similarity Metric Learning for Face Recognition2013
- 10. Multi-Label Transfer Learning for Semantic Similarity