Presenter:

Dawn Song and Xinyun Chen, Univesity of California Berkeley [PUBS] [SLIDES], [VIDEOS]

Readings:

Primary: [Dawn Song's Introduction] Cai et al [2], [Xinyun Chen's Presentation] Chen et al [4, 5, 3]. Secondary: Shin et al [6], Xu et al [7]

References:

[1]	Jonathon Cai, Richard Shin, and Dawn Song. A comprehensive survey of graph embedding: Problems, techniques and applications. CoRR, arXiv:1704.06611, 2017.
[2]	Jonathon Cai, Richard Shin, and Dawn Song. Making neural programming architectures generalize via recursion. CoRR, arXiv:1704.06611, 2017.
[3]	Xinyun Chen, Chang Liu, Richard Shin, Dawn Song, and Mingcheng Chen. Latent attention for if-then program synthesis. CoRR, arXiv:1611.01867, 2016.
[4]	Xinyun Chen, Chang Liu, and Dawn Song. Towards synthesizing complex programs from input-output examples. CoRR, arXiv:1706.01284, 2018.
[5]	Xinyun Chen, Chang Liu, and Dawn Song. Tree-to-tree neural networks for program translation. CoRR, arXiv:1802.03691, 2018.
[6]	Richard Shin, Charles Packer, and Dawn Song. Differentiable neural network architecture search. International Conference on Learning Representations, 2018.
[7]	Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, and Dawn Song. Neural network-based graph embedding for cross-platform binary code similarity detection. CoRR, arXiv:1708.06525, 2017.