1. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2016. TensorFlow: A system for large-scale machine learning. In Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI’16). 265–283. Retrieved from https://www.usenix.org/conference/osdi16/technical-sessions/presentation/abadi.
2. The adverse effects of code duplication in machine learning models of code
3. Syntax-guided synthesis
4. Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, and Daniel Tarlow. 2017. DeepCoder: Learning to write programs. In Proceedings of the 5th International Conference on Learning Representations (ICLR’17). Retrieved from https://openreview.net/forum?id=ByldLrqlx.
5. Just-in-time learning for bottom-up enumerative synthesis