Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks

23 October 2020

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

9 / 9 papers shown

Title
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 48 1 0 09 Oct 2024
Neuro-Symbolic Execution of Generic Source Code Yaojie Hu Jin Tian NAI 30 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 32 13 0 22 Jul 2022
Compositional Generalization and Decomposition in Neural Program Synthesis Kensen Shi Joey Hong Manzil Zaheer Pengcheng Yin Charles Sutton 37 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 16 15 0 07 Mar 2022
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 57 702 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 29 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 94 0 01 Jul 2021
Latent Execution for Neural Program Synthesis Xinyun Chen D. Song Yuandong Tian NAI 21 52 0 29 Jun 2021