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# In multiple categories

- {bibkey: allamanis2015bimodal, categories: [generative, representational], type: Multimodal, representation: Syntax, input_rep: Natural language, modeled_target: Language Model, intermediate_rep: Distributed, model: Grammar (NN-LBL), application: Code Search/Synthesis}

- {bibkey: dam2016deep, categories: [generative, representational], type: Language Model, representation: Token , input_rep: Token Context, modeled_target: LM (Tokens), intermediate_rep: Distributed, model: NN (LSTM), application: ---}

- {bibkey: maddison2014structured, categories: [generative, representational], type: Language Model, representation: Syntax with scope , input_rep: LM AST Context, modeled_target: Language Model, intermediate_rep: Distributed, model: NN , application: --- }

- {bibkey: rabinovich2017abstract, categories: [generative, representational], type: Multimodal, representation: Syntax , input_rep: LM AST context, modeled_target: LM (Syntax), intermediate_rep: Distributed, model: NN (LSTM-based), application: Code Synthesis}

- {bibkey: white2015toward, categories: [generative, representational], type: Language Model, representation: Token , input_rep: Tokens, modeled_target: Language Model, model: NN (RNN) , intermediate_rep: Distributed, application: ---}

- {bibkey: white2016deep, categories: [representational, pattern], representation: Token + Syntax , pattern_type: Distributed, input_rep: Token + AST, intermediate_rep: Distributed, application: Clone Detection }

# Generative Models

- {bibkey: aggarwal2015using, categories: [generative], type: Transducer, representation: Token , model: Phrase , application: Migration}

- {bibkey: allamanis2013mining, categories: [generative], type: Language Model, representation: Token , model: n-gram , application: Idiom Mining }

- {bibkey: allamanis2014learning, categories: [generative], type: Language Model, representation: Token + Location, model: n-gram, application: Coding Conventions}

- {bibkey: allamanis2014mining, categories: [generative, pattern], type: Language Model, pattern_type: Graphical Model, representation: Syntax , model: Grammar (pTSG) , application: ---}

- {bibkey: amodio2017neural, categories: [generative], type: Language Model, representation: Syntax+Constraints , model: RNN , application: ---}

- {bibkey: barone2017parallel, categories: [generative], type: Multimodal, representation: Token , model: Neural MT , application: Documentation}

- {bibkey: beltramelli2017pix2code, categories: [generative], type: Multimodal, representation: Token , model: NN (Encoder-Decoder) , application: GUI Code Synthesis}

- {bibkey: bhatia2016automated, categories: [generative], type: Language Model, representation: Token , model: RNN (LSTM) , application: Syntax Error Correction}

- {bibkey: bhoopchand2016learning, categories: [generative], type: Language Model, representation: Token , model: NN (Pointer Net) , application: Code Completion }

- {bibkey: bielik2016phog, categories: [generative], type: Language Model, representation: Syntax , model: PCFG + annotations , application: Code Completion}

- {bibkey: campbell2014syntax, categories: [generative], type: Language Model, representation: Token , model: n-gram , application: Syntax Error Detection }

- {bibkey: cerulo2015irish, categories: [generative], type: Language Model, representation: Token , model: Graphical Model (HMM) , application: Information Extraction}

- {bibkey: cummins2017synthesizing, categories: [generative], type: Language Model, representation: Character , model: NN (LSTM) , application: Benchmark Synthesis}

- {bibkey: gulwani2014nlyze, categories: [generative], type: Multimodal, representation: Syntax , model: Phrase Model , application: Text-to-Code }

- {bibkey: gvero2015synthesizing, categories: [generative], type: Language Model, representation: Syntax , model: PCFG + Search , application: Code Synthesis}

- {bibkey: hellendoorn2015will, categories: [generative], type: Language Model, representation: Token , model: n-gram , application: Code Review}

- {bibkey: hellendoorn2017deep, categories: [generative], type: Language Model, representation: token , model: n-gram (cache) , application: -- }

- {bibkey: hindle2012naturalness, categories: [generative], type: Language Model, representation: Token , model: n-gram , application: Code Completion}

- {bibkey: hsiao2014using, categories: [generative], type: Language Model, representation: PDG , model: n-gram , application: Program Analysis}

- {bibkey: lin2017program, categories: [generative], type: Multimodal, representation: Tokens , model: NN (Seq2seq) , application: Synthesis}

- {bibkey: ling2016latent, categories: [generative], type: Multimodal, representation: Token , model: RNN + Attention , application: Code Synthesis}

- {bibkey: liu2016towards, categories: [generative], type: Language Model, representation: Token , model: n-gram , application: Obfuscation}

- {bibkey: karaivanov2014phrase, categories: [generative], type: Transducer, representation: Token , model: Phrase , application: Migration}

- {bibkey: karpathy2015visualizing, categories: [generative], type: Language Model, representation: Characters , model: RNN (LSTM), application: ---}

- {bibkey: kushman2013using, categories: [generative], type: Multimodal, representation: Token , model: Grammar (CCG) , application: Code Synthesis}

- {bibkey: menon2013machine, categories: [generative], type: Multimodal, representation: Syntax , model: PCFG + annotations , application: Code Synthesis}

- {bibkey: nguyen2013lexical, categories: [generative], type: Transducer, representation: Token , model: Phrase , application: Migration}

- {bibkey: nguyen2013statistical, categories: [generative], type: Language Model, representation: Token + parse info , model: n-gram , application: Code Completion}

- {bibkey: nguyen2015divide, categories: [generative], type: Transducer, representation: Token + parse info , model: Phrase SMT , application: Migration}

- {bibkey: nguyen2015graph, categories: [generative], type: Language Model, representation: Partial PDG , model: n-gram , application: Code Completion}

- {bibkey: oda2015learning, categories: [generative], type: Transducer, representation: Syntax + Token , model: Tree-to-String + Phrase , application: Pseudocode Generation}

- {bibkey: patra2016learning, categories: [generative], type: Language Model, representation: Syntax , model: Annotated PCFG , application: Fuzz Testing}

- {bibkey: pham2016learning, categories: [generative], type: Language Model, representation: Bytecode , model: Graphical Model (HMM) , application: Code Completion}

- {bibkey: pu2016skp, categories: [generative], type: Transducer, representation: Token , model: NN (Seq2seq) , application: Code Fixing}

- {bibkey: raychev2014code, categories: [generative], type: Language Model, representation: Token + Constraints , model: n-gram/ RNN , application: Code Completion}

- {bibkey: ray2015naturalness, categories: [generative], type: Language Model, representation: Token , model: n-gram (cache) , application: Bug Detection}

- {bibkey: raychev2016learning, categories: [generative], type: Language Model, representation: Syntax , model: PCFG + annotations , application: Code Completion}

- {bibkey: saraiva2015products, categories: [generative], type: Language Model, representation: Token , model: n-gram , application: ---}

- {bibkey: sharma2015nirmal, categories: [generative], type: Language Model, representation: Token , model: n-gram , application: Information Extraction}

- {bibkey: tu2014localness, categories: [generative], type: Language Model, representation: Token , model: n-gram (cache) , application: Code Completion}

- {bibkey: vasilescu2017recovering, categories: [generative], type: Transducer, representation: Token , model: , application: Deobfuscation}

- {bibkey: wang2016neural, categories: [generative], type: Language Model, representation: Syntax , model: NN (LSTM), application: Code Completion }

- {bibkey: yadid2016extracting, categories: [generative], type: Language Model, representation: Token , model: n-gram , application: Information Extraction}

- {bibkey: yin2017syntactic, categories: [generative], type: Multimodal, representation: Syntax , model: NN (Seq2seq) , application: Synthesis}

# Representational Models

- {bibkey: allamanis2015suggesting, categories: [representational], input_rep: Token Context , modeled_target: Identifier Name , intermediate_rep: Distributed , application: Naming }

- {bibkey: allamanis2016convolutional, categories: [representational], input_rep: Tokens , modeled_target: Method Name , intermediate_rep: Distributed , application: Naming }

- {bibkey: allamanis2017smartpaste, categories: [representational], input_rep: Data Flow , modeled_target: Variable Allocation , intermediate_rep: Distributed , application: Contextualization }

- {bibkey: bichsel2016statistical, categories: [representational], input_rep: Dependency Net , modeled_target: Identifier Name , intermediate_rep: CRF (GM) , application: Deobfuscation }

- {bibkey: bruch2009learning, categories: [representational], input_rep: Partial Object Use , modeled_target: Invoked Method , intermediate_rep: Localized , application: Code Completion }

- {bibkey: chae2016automatically, categories: [representational], input_rep: Data Flow Graph , modeled_target: Static Analysis , intermediate_rep: Localized , application: Program Analysis }

- {bibkey: corley2015exploring, categories: [representational], input_rep: Tokens , modeled_target: Feature Location , intermediate_rep: Distributed , application: Feature Location }

- {bibkey: cummins2017end, categories: [representational], input_rep: Tokens , modeled_target: Optimization Flags , intermediate_rep: Distributed , application: Optimization Heuristics }

- {bibkey: gu2016deep, categories: [representational], input_rep: Natural Language , modeled_target: API Calls , intermediate_rep: Distributed , application: API Search }

- {bibkey: guo2017semantically, categories: [representational], input_rep: Tokens , modeled_target: Traceability link , intermediate_rep: Distributed , application: Traceability }

- {bibkey: gupta2017deepfix, categories: [representational], input_rep: Tokens , modeled_target: Code Fix , intermediate_rep: Distributed , application: Code Fixing }

- {bibkey: hu2017codesum, categories: [representational], input_rep: Linearized AST , modeled_target: Natural Language , intermediate_rep: Distributed , application: Summarization }

- {bibkey: iyer2016summarizing, categories: [representational], input_rep: Tokens , modeled_target: Natural Language , intermediate_rep: Distributed , application: Summarization }

- {bibkey: jiang2017automatically, categories: [representational], input_rep: Tokens (Diff) , modeled_target: Natural Language , intermediate_rep: Distributed , application: Commit Message }

- {bibkey: koc2017learning, categories: [representational], input_rep: Bytecode , modeled_target: False Positives , intermediate_rep: Distributed , application: Program Analysis }

- {bibkey: kremenek2007factor, categories: [representational], input_rep: Partial PDG , modeled_target: Ownership , intermediate_rep: Factor (GM) , application: Pointer Ownership }

- {bibkey: levy2017learning, categories: [representational], input_rep: Statements, modeled_target: Alignment , intermediate_rep: Distributed , application: Decompiling }

- {bibkey: li2015gated, categories: [representational], input_rep: Memory Heap , modeled_target: Separation Logic , intermediate_rep: Distributed , application: Verification }

- {bibkey: loyola2017neural, categories: [representational], input_rep: Tokens (Diff) , modeled_target: Natural Language , intermediate_rep: Distributed , application: Explain code changes }

- {bibkey: mangal2015user, categories: [representational], input_rep: Logic + Feedback , modeled_target: Prob. Analysis , intermediate_rep: MaxSAT , application: Program Analysis }

- {bibkey: movshovitz2013natural, categories: [representational], input_rep: Tokens , modeled_target: Code Comments , intermediate_rep: Directed GM , application: Comment Prediction }

- {bibkey: mou2016convolutional, categories: [representational], input_rep: Syntax , modeled_target: Classification , intermediate_rep: Distributed , application: Task Classification }

- {bibkey: nguyen2016mapping, categories: [representational], input_rep: API Calls , modeled_target: API Calls , intermediate_rep: Distributed , application: Migration }

- {bibkey: omar2013structured, categories: [representational], input_rep: Syntactic Context , modeled_target: Expressions , intermediate_rep: Directed GM , application: Code Completion }

- {bibkey: oh2015learning, categories: [representational], input_rep: Features , modeled_target: Analysis Params , intermediate_rep: Static Analysis , application: Program Analysis }

- {bibkey: piech2015learning, categories: [representational], input_rep: Syntax + State , modeled_target: Student Feedback , intermediate_rep: Distributed , application: Student Feedback }

- {bibkey: proksch2015intelligent, categories: [representational], input_rep: Inc. Object Usage , modeled_target: Object Usage , intermediate_rep: Directed GM , application: Code Completion }

- {bibkey: raychev2015predicting, categories: [representational], input_rep: Dependency Net , modeled_target: Types + Names , intermediate_rep: CRF (GM) , application: Types + Names }

- {bibkey: wang2016bugram, categories: [representational], input_rep: Tokens , modeled_target: Defects , intermediate_rep: LM (\ngram) , application: Bug Detection }

- {bibkey: zaremba2014learning, categories: [representational], input_rep: Characters , modeled_target: Execution Trace , intermediate_rep: Distributed , application: --- }

- {bibkey: alon2018general, categories: [representational], input_rep: AST Paths , modeled_target: General-Purpose , intermediate_rep: Localized+Distributed , application: General-Purpose}

# Pattern Models

- {bibkey: allamanis2017mining, categories: [pattern], representation: Abstracted AST , pattern_type: Graphical Model , application: Semantic Idiom Mining }

- {bibkey: fowkes2016parameter, categories: [pattern], representation: API Call Sequences , pattern_type: Graphical Model , application: API Mining }

- {bibkey: murali2017bayesian, categories: [pattern], representation: Sketch Synthesis , pattern_type: Graphical Model , application: Sketch Mining }

- {bibkey: murali2017finding, categories: [pattern], representation: API Usage Errors , pattern_type: Graphical Model , application: Defect Prediction }

- {bibkey: movshovitz2015kb, categories: [pattern], representation: Tokens , pattern_type: Graphical Model , application: Knowledge-Base Mining }

- {bibkey: nguyen2017exploring, categories: [pattern], representation: API Usage , pattern_type: Distributed , application: API Mining }

- {bibkey: fowkes2017autofolding, categories: [pattern], representation: Tokens , pattern_type: Graphical Model , application: Code Summarization }

- {bibkey: wang2016automatically, categories: [pattern], representation: Serialized ASTs , pattern_type: Distributed , application: Defect Prediction }