README.md
January 17, 2020 ยท View on GitHub
- Intelligent code reviews using deep learning
- Learning to Represent Programs with Graphs
- code2seq: Generating Sequences from Structured Representations of Code
- Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces
- Relational inductive biases, deep learning, and graph networks
- Deep Learning Type Inference
- Mining Change Histories for Unknown Systematic Edits
- Improving Automatic Source Code Summarization via Deep Reinforcement Learning
- A general reinforcement learning algorithm that masters chess, shogi and Go through self-play
- Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities
- Structured Neural Summarization
- The Adverse Effects of Code Duplication in Machine Learning Models of Code
- Generative Code Modeling with Graphs
- How Powerful are Graph Neural Networks?
- A Comprehensive Survey on Graph Neural Networks
- Neural Networks for Modeling Source Code Edits
- Coloring Big Graphs with AlphaGoZero
- Cross-language clone detection by learning over abstract syntax trees
- Import2vec Learning Embeddings for Software Libraries
- XLNet: Generalized Autoregressive Pretraining for Language Understanding
- Aroma: Code Recommendation via Structural Code Search
- Attention Is All You Need
- Topology Adaptive Graph Convolutional Networks
- End-to-end Deep Learning of Optimization Heuristics
- The Software Heritage Graph Dataset: Public software development under one roof
- Assessing the Generalizability of code2vec Token Embeddings
- CodeSearchNet Challenge: Evaluating the State of Semantic Code Search