Foundations and Trends R © in Programming Languages

By Andrzej S. Murawski. 2016

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Quoc V. Le
2. Yoshua Bengio
3. Mohit Bansal
4. Percy Liang
5. Yi Tay
6. Trevor Darrell
7. Zhe Gan
8. Yi Yang

Citations in the corpus

• AutoML-Zero: Evolving Machine Learning Algorithms From Scratch (2020, background): “More recently, program synthesis has focused on solving problems like sorting (Graves et al., 2014), string manipulation (Gulwani et al., 2017; Balog et al., 2017), or structured data QA (Liang et al., 2016).”
• Semantic Scaffolds for Pseudocode-to-Code Generation (2020, background): “While these do not encode the full spectrum of constraints used in some formal program synthesis tools (Solar-Lezama, 2009; Gulwani et al., 2017), they strike a balance between utility, speed, and ease of use, offering substantial improvements in system performance without a significant increase in…”
• Learning to Represent Programs with Property Signatures (2020, background): “We can hardly do it justice here, but see some of Gottschlich et al. (2018); Solar-Lezama (2018); Gulwani et al. (2017); Allamanis et al. (2018) for more detailed surveys.”