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Learning to Execute Programs with Instruction Pointer Attention Graph
  Neural Networks

Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks

Neural Information Processing Systems (NeurIPS), 2020
23 October 2020
David Bieber
Charles Sutton
Hugo Larochelle
Daniel Tarlow
    GNN
ArXiv (abs)PDFHTML

Papers citing "Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks"

24 / 24 papers shown
A Benchmark on Directed Graph Representation Learning in Hardware
  Designs
A Benchmark on Directed Graph Representation Learning in Hardware Designs
Haoyu Wang
Yinan Huang
Nan Wu
Pan Li
OOD
369
1
0
09 Oct 2024
NExT: Teaching Large Language Models to Reason about Code Execution
NExT: Teaching Large Language Models to Reason about Code Execution
Ansong Ni
Miltiadis Allamanis
Arman Cohan
Yinlin Deng
Kensen Shi
Charles Sutton
Pengcheng Yin
ReLMLRM
354
70
0
23 Apr 2024
Exploiting Code Symmetries for Learning Program Semantics
Exploiting Code Symmetries for Learning Program SemanticsInternational Conference on Machine Learning (ICML), 2023
Kexin Pei
Weichen Li
Qirui Jin
Shuyang Liu
Scott Geng
Lorenzo Cavallaro
Junfeng Yang
Suman Jana
575
14
0
07 Aug 2023
ExeDec: Execution Decomposition for Compositional Generalization in
  Neural Program Synthesis
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program SynthesisInternational Conference on Learning Representations (ICLR), 2023
Kensen Shi
Joey Hong
Yinlin Deng
Pengcheng Yin
Manzil Zaheer
Charles Sutton
241
22
0
26 Jul 2023
Code Execution with Pre-trained Language Models
Code Execution with Pre-trained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Chenxiao Liu
Shuai Lu
Weizhu Chen
Daxin Jiang
Alexey Svyatkovskiy
Shengyu Fu
Neel Sundaresan
Nan Duan
ELM
273
46
0
08 May 2023
NPS: A Framework for Accurate Program Sampling Using Graph Neural
  Network
NPS: A Framework for Accurate Program Sampling Using Graph Neural Network
Yuanwei Fang
Zihao Liu
YanHeng Lu
Jiawei Liu
Jiajie Li
Yingqi Jin
Jing Chen
Yen-kuang Chen
Hongzhong Zheng
Yuan Xie
MLAU
118
5
0
18 Apr 2023
GPT is becoming a Turing machine: Here are some ways to program it
GPT is becoming a Turing machine: Here are some ways to program it
A. Jojic
Zhen Wang
Nebojsa Jojic
LRM
222
20
0
25 Mar 2023
Neuro-Symbolic Execution of Generic Source Code
Neuro-Symbolic Execution of Generic Source Code
Yaojie Hu
Jin Tian
NAI
263
1
0
23 Mar 2023
LExecutor: Learning-Guided Execution
LExecutor: Learning-Guided Execution
Beatriz Souza
Michael Pradel
SILMELM
476
21
0
05 Feb 2023
A Library for Representing Python Programs as Graphs for Machine
  Learning
A Library for Representing Python Programs as Graphs for Machine Learning
David Bieber
Kensen Shi
Petros Maniatis
Charles Sutton
Vincent J. Hellendoorn
Daniel D. Johnson
Daniel Tarlow
GNNAI4CE
167
6
0
15 Aug 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Robust Knowledge Adaptation for Dynamic Graph Neural NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Han Li
Changsheng Li
Kaituo Feng
Ye Yuan
Guoren Wang
H. Zha
358
24
0
22 Jul 2022
Compositional Generalization and Decomposition in Neural Program
  Synthesis
Compositional Generalization and Decomposition in Neural Program Synthesis
Kensen Shi
Joey Hong
Manzil Zaheer
Pengcheng Yin
Charles Sutton
224
8
0
07 Apr 2022
Static Prediction of Runtime Errors by Learning to Execute Programs with
  External Resource Descriptions
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource DescriptionsInternational Conference on Learning Representations (ICLR), 2022
David Bieber
Rishab Goel
Daniel Zheng
Hugo Larochelle
Daniel Tarlow
137
18
0
07 Mar 2022
Large Language Models are not Models of Natural Language: they are
  Corpus Models
Large Language Models are not Models of Natural Language: they are Corpus Models
Csaba Veres
199
23
0
13 Dec 2021
Show Your Work: Scratchpads for Intermediate Computation with Language
  Models
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye
Anders Andreassen
Guy Gur-Ari
Henryk Michalewski
Jacob Austin
...
Aitor Lewkowycz
Maarten Bosma
D. Luan
Charles Sutton
Augustus Odena
ReLMLRM
681
976
0
30 Nov 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space
  Exploration
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration
Lorenzo Ferretti
Andrea Cini
Georgios Zacharopoulos
Cesare Alippi
L. Pozzi
185
5
0
29 Nov 2021
ProTo: Program-Guided Transformer for Program-Guided Tasks
ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao
Karan Samel
Binghong Chen
Le Song
ViTLM&Ro
272
32
0
02 Oct 2021
Program Synthesis with Large Language Models
Program Synthesis with Large Language Models
Jacob Austin
Augustus Odena
Maxwell Nye
Maarten Bosma
Henryk Michalewski
...
Ellen Jiang
Carrie J. Cai
Michael Terry
Quoc V. Le
Charles Sutton
ELMAIMatReCodALM
682
3,287
0
16 Aug 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
443
116
0
01 Jul 2021
Latent Execution for Neural Program Synthesis
Latent Execution for Neural Program SynthesisNeural Information Processing Systems (NeurIPS), 2021
Xinyun Chen
Basel Alomair
Yuandong Tian
NAI
459
57
0
29 Jun 2021
Learning to Extend Program Graphs to Work-in-Progress Code
Learning to Extend Program Graphs to Work-in-Progress Code
Xuechen Li
Chris J. Maddison
Daniel Tarlow
244
2
0
28 May 2021
Meta-Learning an Inference Algorithm for Probabilistic Programs
Meta-Learning an Inference Algorithm for Probabilistic Programs
Gwonsoo Che
Hongseok Yang
TPM
339
1
0
01 Mar 2021
Reinforcement Learning of Implicit and Explicit Control Flow in
  Instructions
Reinforcement Learning of Implicit and Explicit Control Flow in InstructionsInternational Conference on Machine Learning (ICML), 2021
Ethan A. Brooks
Janarthanan Rajendran
Richard L. Lewis
Satinder Singh
217
10
0
25 Feb 2021
Universal Policies for Software-Defined MDPs
Universal Policies for Software-Defined MDPs
Daniel Selsam
Jesse Michael Han
L. D. Moura
Patrice Godefroid
211
2
0
21 Dec 2020
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