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Inferring Javascript types using Graph Neural Networks

Inferring Javascript types using Graph Neural Networks

16 May 2019
Jessica Schrouff
Kai Wohlfahrt
Bruno Marnette
Liam Atkinson
    NAI
    GNN
ArXivPDFHTML

Papers citing "Inferring Javascript types using Graph Neural Networks"

5 / 5 papers shown
Title
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
116
0
16 Dec 2020
Learning to Execute Programs with Instruction Pointer Attention Graph
  Neural Networks
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
David Bieber
Charles Sutton
Hugo Larochelle
Daniel Tarlow
GNN
24
43
0
23 Oct 2020
Adversarial Robustness for Code
Adversarial Robustness for Code
Pavol Bielik
Martin Vechev
AAML
22
89
0
11 Feb 2020
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
208
1,020
0
26 Mar 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
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