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Programming by Example (PBE) is the task of inducing computer programs from input-output examples.
Letters to the Editor: Go to Statement Considered Harmful
Dijkstra, Edsger W · 1968
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Automating string processing in spreadsheets using input-output examples
Gulwani, Sumit · 2011
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Recursive Program Synthesis
Albarghouthi, Aws, Gulwani, Sumit, and Kincaid, Zachary · 2013
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Graves, Alex, Wayne, Greg, and Danihelka, Ivo · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Abadi, Martín, Agarwal, Ashish, Barham, Paul, Brevdo, Eugene, Chen, Zhifeng, Citro, Craig, Corrado, Greg S., Davis, Andy, Dean, Jeffrey, Devin, Matthieu, Ghemawat, Sanjay, Goodfellow, Ian, Harp, Andrew, Irving, Geoffrey, Isard, Michael, Jia, Yangqing, Jozefowicz, Rafal, Kaiser, Lukasz, Kudlur, Manjunath, Levenberg, Josh, Mané, Dan, Monga, Rajat, Moore, Sherry, Murray, Derek, Olah, Chris, Schuster, Mike, Shlens, Jonathon, Steiner, Benoit, Sutskever, Ilya, Talwar, Kunal, Tucker, Paul, Vanhoucke, Vincent, Vasudevan, Vijay, Viégas, Fernanda, Vinyals, Oriol, Warden, Pete, Wattenberg, Martin, Wicke, Martin, Yu, Yuan, and Zheng, Xiaoqiang · 2015
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Synthesizing data structure transformations from input-output examples
Feser, John K., Chaudhuri, Swarat, and Dillig, Isil · 2015
Earlier work this paper cites.
Inferring algorithmic patterns with stack-augmented recurrent nets
Joulin, Armand and Mikolov, Tomas · 2015
Cited alongside, same era.
Type-and-example-directed Program Synthesis
Osera, Peter-Michael and Zdancewic, Steve · 2015
Cited alongside, same era.
Adaptive neural compilation
Bunel, Rudy, Desmaison, Alban, Kohli, Pushmeet, Torr, Philip H. S., and Kumar, M. Pawan · 2016
Cited alongside, same era.
Example-directed Synthesis: A Type-theoretic Interpretation
Frankle, Jonathan, Osera, Peter-Michael, Walker, David, and Zdancewic, Steve · 2016
Cited alongside, same era.
Terpret: A probabilistic programming language for program induction
Gaunt, Alexander L., Brockschmidt, Marc, Singh, Rishabh, Kushman, Nate, Kohli, Pushmeet, Taylor, Jonathan, and Tarlow, Daniel · 2016
Cited alongside, same era.
Hybrid computing using a neural network with dynamic external memory
Kaiser, Łukasz and Sutskever, Ilya · 2016
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Kurach, Karol, Andrychowicz, Marcin, and Sutskever, Ilya · 2016
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Neural programmer-interpreters
Reed, Scott E. and de Freitas, Nando · 2016
Closest in time.
Programming with a differentiable forth interpreter
Riedel, Sebastian, Bosnjak, Matko, and Rocktäschel, Tim · 2016
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Learning simple algorithms from examples
Zaremba, Wojciech, Mikolov, Tomas, Joulin, Armand, and Fergus, Rob · 2016
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Graves, Alex, Wayne, Greg, Reynolds, Malcolm, Harley, Tim, Danihelka, Ivo, Grabska-Barwińska, Agnieszka, Colmenarejo, Sergio Gómez, Grefenstette, Edward, Ramalho, Tiago, Agapiou, John, et al · 2016
Cited alongside, same era.
Neural programmer: Inducing latent programs with gradient descent
Neelakantan, Arvind, Le, Quoc V., and Sutskever, Ilya
Cited in the paper.
Adding gradient noise improves learning for very deep networks
Neelakantan, Arvind, Vilnis, Luke, Le, Quoc V., Sutskever, Ilya, Kaiser, Lukasz, Kurach, Karol, and Martens, James
Cited in the paper.
Neural program lattices
Li, Chengtao, Tarlow, Daniel, Gaunt, Alexander L., Brockschmidt, Marc, and Kushman, Nate · 2017
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