-
Generative Code Modeling with Graphs, [ICLR 2019]
Brockschmidt, Marc and Allamanis, Miltiadis and Gaunt, Alexander L. and Polozov, Oleksandr
-
Accelerating Search-Based Program Synthesis using Learned Probabilistic Models, [PLDI 2018]
Lee, Woosuk and Heo, Kihong and Alur, Rajeev and Naik, Mayur
-
Program Synthesis using Conflict-Driven Learning, [PLDI 2018]
Feng, Yu and Martins, Ruben and Bastani, Osbert and Dillig, Isil
-
Learning to Infer Graphics Programs from Hand-Drawn Images, [NIPS 2018]
Ellis, Kevin and Ritchie, Daniel and Solar-Lezama, Armando and Tenenbaum, Josh
-
Neural Program Search: Solving Programming Tasks from Description and Examples, [ICLR 2018]
Polosukhin, Illia and Skidanov, Alexander
-
Coarse-to-Fine Decoding for Neural Semantic Parsing, [ACL 2018]
Dong, Li and Mirella Lapata
-
Neural-Guided Deductive Search For Real-Time Program Synthesis from Examples, [ICLR 2018]
Kalyan, Ashwin and Mohta, Abhishek and Polozov, Oleksandr and Batra, Dhruv and Jain, Prateek and Gulwani, Sumit
-
Neural Sketch Learning for Conditional Program Generation, [ICLR 2018]
Murali, Vijayaraghavan and Qi, Letao and Chaudhuri, Swarat and Jermaine, Chris
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Modeling Relational Data with Graph Convolutional Networks Peter Bloem, [ESWC 2018]
Schlichtkrull, Michael and Kipf, Thomas N and Bloem, Peter and Van Den Berg, Rianne and Titov, Ivan and Welling, Max
-
Learning to Represent Programs with Graphs, [ICLR 2018]
Allamanis, Miltiadis and Brockschmidt, Marc and Khademi, Mahmoud
-
Leveraging Constraint Logic Programming for Neural Guided Program Synthesis, [ICLR-Workshop 2018]
Zhang, Lisa and Rosenblatt, Gregory and Fetaya, Ethan and Liao, Renjie and Byrd, William E. and Urtasun, Raquel and Zemel, Richard
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Program synthesis using abstraction refinement, [POPL 2018]
Wang, Xinyu and Dillig, Isil and Singh, Rishabh
-
Semi-Supervised Classification with Graph Convolutional Networks, [ICLR 2017]
Kipf, Thomas N. adn Welling, Max
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Program Synthesis, [Foundations and Trends in Programming Languages 2017]
Gulwani, Sumit and Polozov, Oleksandr and Singh, Rishabh
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Scaling Enumerative Program Synthesis via Divide and Conquer, [TACAS 2017]
Alur, Rajeev and Radhakrishna, Arjun and Udupa, Abhishek
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Gated Graph Sequence Neural Networks, [ICLR 2016]
Li, Yujia and Tarlow, Daniel and Brockschmidt, Marc and Zemel, Richard
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FlashMeta: a framework for inductive program synthesis, [OOPSLA 2015]
Polozov, Oleksandr and Gulwani, Sumit
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Automating string processing in spreadsheets using input-output examples, [POPL 2011]
Gulwani, Sumit
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Inductive Programming: A Survey of Program Synthesis Techniques, [AAIP 2009]
Kitzelmann, Emanuel
Synthesis
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