DeepSim: Deep Learning Code Functional Similarity
DeepSim: Deep Learning Code Functional Similarity 代码的功能相似性检测 1、现存的大多数方法聚焦于代码的语法相似性，功能相似性还是一个挑战 （现存方法：都一般遵循相同的流程 首先从源代码中提取语法特征，以原始文本、tokens或者AST的形式 然后使用某个距离度量公式，如欧氏距离来检测相似的代码） 本文中提出的方法：将代码的控制流和数据流编码成一个
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相关文章
- 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学习笔记
- 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