Compiler-based graph representations for deep learning models of code.
Alexander BrauckmannAndrés GoensSebastian ErtelJerónimo CastrillónPublished in: CC (2020)
Keyphrases
- learning models
- graph representations
- learning algorithm
- loss function
- graph theory
- machine learning algorithms
- learning tasks
- graph structure
- graph representation
- machine learning
- semi supervised learning
- learning problems
- classification models
- conditional random fields
- evolutionary algorithm
- information retrieval
- object recognition
- graph kernels
- similarity measure
- text classification
- information extraction
- pairwise