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OptTyper: Probabilistic Type Inference by Optimising Logical and Natural
  Constraints
v1v2v3 (latest)

OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints

1 April 2020
Irene Vlassi Pandi
Earl T. Barr
Andrew D. Gordon
Charles Sutton
ArXiv (abs)PDFHTML

Papers citing "OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints"

5 / 5 papers shown
Title
Typilus: Neural Type Hints
Typilus: Neural Type Hints
Miltiadis Allamanis
Earl T. Barr
Soline Ducousso
Zheng Gao
131
134
0
06 Apr 2020
Learning Explanatory Rules from Noisy Data
Learning Explanatory Rules from Noisy Data
Richard Evans
Edward Grefenstette
132
487
0
13 Nov 2017
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNNNAI
123
804
0
01 Nov 2017
A Survey of Machine Learning for Big Code and Naturalness
A Survey of Machine Learning for Big Code and Naturalness
Miltiadis Allamanis
Earl T. Barr
Premkumar T. Devanbu
Charles Sutton
119
860
0
18 Sep 2017
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
Stephen H. Bach
Matthias Broecheler
Bert Huang
Lise Getoor
TPMAI4CE
118
388
0
17 May 2015
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