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#### Program Synthesis and Induction
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- <imgsrc="badges/12-pages-gray.svg"alt="12-pages"align="top"> [Program Synthesis and Semantic Parsing with Learned Code Idioms](https://arxiv.org/abs/1906.10816v2) - Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Oleksandr Polozov, 2019.
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- <imgsrc="badges/16-pages-gray.svg"alt="16-pages"align="top"> [Synthetic Datasets for Neural Program Synthesis](https://openreview.net/forum?id=ryeOSnAqYm) - Richard Shin, Neel Kant, Kavi Gupta, Chris Bender, Brandon Trabucco, Rishabh Singh, Dawn Song, ICLR 2019.
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- <imgsrc="badges/15-pages-gray.svg"alt="15-pages"align="top"> [Execution-Guided Neural Program Synthesis](https://openreview.net/forum?id=H1gfOiAqYm) - Xinyun Chen, Chang Liu, Dawn Song, ICLR 2019.
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- <imgsrc="badges/8-pages-gray.svg"alt="8-pages"align="top"> [DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing](https://faculty.ist.psu.edu/wu/papers/DeepFuzz.pdf) - Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu, AAAI 2019.
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#### Source Code Analysis and Language modeling
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- <imgsrc="badges/12-pages-gray.svg"alt="12-pages"align="top"> [Modeling Vocabulary for Big Code Machine Learning](https://arxiv.org/abs/1904.01873v1) - Hlib Babii, Andrea Janes, Romain Robbes, 2019.
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- <imgsrc="badges/24-pages-gray.svg"alt="24-pages"align="top"> [Generative Code Modeling with Graphs](https://openreview.net/forum?id=Bke4KsA5FX) - Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov, ICLR 2019.
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- <imgsrc="badges/12-pages-gray.svg"alt="12-pages"align="top"> [NL2Type: Inferring JavaScript Function Types from Natural Language Information](http://software-lab.org/publications/icse2019_NL2Type.pdf) - Rabee Sohail Malik, Jibesh Patra, Michael Pradel, ICSE 2019.
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#### Neural Network Architectures and Algorithms
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- <imgsrc="badges/19-pages-gray.svg"alt="19-pages"align="top"> [Learning Compositional Neural Programs with Recursive Tree Search and Planning](https://arxiv.org/abs/1905.12941v1) - Thomas Pierrot, Guillaume Ligner, Scott Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas, 2019.
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- <imgsrc="badges/11-pages-gray.svg"alt="11-pages"align="top"> [From Programs to Interpretable Deep Models and Back](https://link.springer.com/content/pdf/10.1007%2F978-3-319-96145-3_2.pdf) - Eran Yahav, ICCAV 2018.
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- <imgsrc="badges/13-pages-gray.svg"alt="13-pages"align="top"> [Neural Code Comprehension: A Learnable Representation of Code Semantics](https://arxiv.org/abs/1806.07336) - Tal Ben-Nun, Alice Shoshana Jakobovits, Torsten Hoefler, NIPS 2018.
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- <imgsrc="badges/16-pages-gray.svg"alt="16-pages"align="top"> [A General Path-Based Representation for Predicting Program Properties](https://arxiv.org/abs/1803.09544) - Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav, PLDI 2018.
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