Learning to Execute Programs with Instruction Pointer Attention Graph
Neural Networks

Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks

23 October 2020

Hugo Larochelle

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

10 / 10 papers shown

Title
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 50 1 0 09 Oct 2024
Neuro-Symbolic Execution of Generic Source Code Yaojie Hu Jin Tian NAI 32 0 0 23 Mar 2023
Robust Knowledge Adaptation for Dynamic Graph Neural Networks Han Li Changsheng Li Kaituo Feng Ye Yuan Guoren Wang H. Zha 34 13 0 22 Jul 2022
Compositional Generalization and Decomposition in Neural Program Synthesis Kensen Shi Joey Hong Manzil Zaheer Pengcheng Yin Charles Sutton 40 5 0 07 Apr 2022
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions David Bieber Rishab Goel Daniel Zheng Hugo Larochelle Daniel Tarlow 28 15 0 07 Mar 2022
Large Language Models are not Models of Natural Language: they are Corpus Models Csaba Veres 12 18 0 13 Dec 2021
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 ReLM LRM 71 707 0 30 Nov 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration Lorenzo Ferretti Andrea Cini Georgios Zacharopoulos Cesare Alippi L. Pozzi 32 4 0 29 Nov 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 95 0 01 Jul 2021
Latent Execution for Neural Program Synthesis Xinyun Chen D. Song Yuandong Tian NAI 23 52 0 29 Jun 2021