Unsupervised Learning of General-Purpose Embeddings for Code Changes.
Mikhail PravilovEgor BogomolovYaroslav GolubevTimofey BryksinPublished in: CoRR (2021)
Keyphrases
- unsupervised learning
- general purpose
- dimensionality reduction
- special purpose
- supervised learning
- binary codes
- manifold learning
- source code
- application specific
- model selection
- semi supervised
- domain specific
- tightly coupled
- data sets
- vector space
- deep learning
- low dimensional
- domain specific languages
- principal component analysis
- programming language
- expectation maximization
- static analysis
- databases
- fully functional
- code generation
- neural network
- learning algorithm
- artificial intelligence
- decision trees
- data flow
- training data
- reinforcement learning
- object recognition
- high dimensional data
- data analysis
- pairwise
- high dimensional