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Daniel Tarlow — most-cited papers & profile · AI for Code
← authors
·
overview
Daniel Tarlow
15
papers ·
444
citations ·
24
h-index
Google (United States) · Google (Canada)
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Semantic Scholar ↗
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Most-cited papers
DeepCoder: Learning to Write Programs
2016 · 232 citations
TerpreT: A Probabilistic Programming Language for Program Induction
2016 · 82 citations
Differentiable Programs with Neural Libraries
2016 · 31 citations
Repository-Level Prompt Generation for Large Language Models of Code
2022 · 14 citations
Neural Networks for Modeling Source Code Edits
2019 · 12 citations
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
2020 · 10 citations
Summary - TerpreT: A Probabilistic Programming Language for Program Induction
2016 · 2 citations
On-the-Fly Adaptation of Source Code Models using Meta-Learning
2020 · 2 citations
Learning Execution through Neural Code Fusion
2019 · 1 citations
Learning to Extend Program Graphs to Work-in-Progress Code
2021
Learning to Combine Per-Example Solutions for Neural Program Synthesis
2021
Top co-authors
Alexander L. Gaunt
· 4
Hugo Larochelle
· 4
Disha Shrivastava
· 3
Kevin Swersky
· 2
Charles Sutton
· 1
Chris J. Maddison
· 1
Rui Zhao
· 1
Zhan Shi
· 1
Topics
Code Models
Software Engineering
Code Generation
Program Repair
Survey Paper
Code Understanding