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Detecting buffer overruns from a source code is one of the most common and yet challenging tasks in program analysis.
Abstract interpretation: a unified lattice model for static analysis of programs by construction or approximation of fixpoints
Patrick Cousot and Radhia Cousot · 1977
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Dynamic inference of likely data preconditions over predicates by tree learning
Sriram Sankaranarayanan, Swarat Chaudhuri, Franjo Ivančić, and Aarti Gupta · 2008
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Mining library specifications using inductive logic programming
Sriram Sankaranarayanan, Franjo Ivančić, and Aarti Gupta · 2008
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Juliet 1.1 c/c++ and java test suite
T. Boland and P. E. Black · 2012
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Interpolants as classifiers
Rahul Sharma, Aditya V Nori, and Alex Aiken · 2012
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Termination proofs from tests
Aditya V Nori and Rahul Sharma · 2013
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A data driven approach for algebraic loop invariants
Rahul Sharma, Saurabh Gupta, Bharath Hariharan, Alex Aiken, Percy Liang, and Aditya V Nori · 2013
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Verification as learning geometric concepts
Rahul Sharma, Saurabh Gupta, Bharath Hariharan, Alex Aiken, and Aditya V Nori · 2013
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Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, and Jy Wu · 2013
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Learning natural coding conventions
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Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
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Convolutional neural networks for sentence classification
Yoon Kim · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Toward deep learning software repositories
Martin White, Christopher Vendome, Mario Linares-Vásquez, and Denys Poshyvanyk · 2015
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Automated correction for syntax errors in programming assignments using recurrent neural networks
Sahil Bhatia and Rishabh Singh · 2016
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Tracking the world state with recurrent entity networks
Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, and Yann LeCun · 2016
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Learning unified features from natural and programming languages for locating buggy source code
Xuan Huo, Ming Li, and Zhi-hua Zhou · 2016
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Ask me anything: Dynamic memory networks for natural language processing
Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, and Richard Socher · 2016
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Andrej Karpathy, Justin Johnson, and Li Fei-Fei · 2015
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End-to-end memory networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, and Rob Fergus · 2015
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Towards ai-complete question answering: A set of prerequisite toy tasks
Jason Weston, Antoine Bordes, Sumit Chopra, and Tomas Mikolov · 2015
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Memory networks
Jason Weston, Sumit Chopra, and Antoine Bordes · 2015
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Combining deep learning with information retrieval to localize buggy files for bug reports
An Ngoc Lam, Anh Tuan Nguyen, Hoan Anh Nguyen, and Tien N. Nguyen · 2016
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Key-value memory networks for directly reading documents
Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston · 2016
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sk-p: a neural program corrector for moocs
Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, and Regina Barzilay · 2016
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