MAPS@PLDI

Publications

2022

Julian Dolby, Jason Tsay, Martin Hirzel
Automatically debugging AutoML pipelines using maro: ML automated remediation oracle. MAPS@PLDI (2022)
Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, Edward Aftandilian
Productivity assessment of neural code completion. MAPS@PLDI (2022)
Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour
Syntax-guided program reduction for understanding neural code intelligence models. MAPS@PLDI (2022)
Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn
A systematic evaluation of large language models of code. MAPS@PLDI (2022)
Jordi Armengol-Estapé, Jackson Woodruff, Alexander Brauckmann, José Wesley de Souza Magalhães, Michael F. P. O'Boyle
ExeBench: an ML-scale dataset of executable C functions. MAPS@PLDI (2022)
Shikhar Singh, James Hegarty, Hugh Leather, Benoit Steiner
A graph neural network-based performance model for deep learning applications. MAPS@PLDI (2022)
Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra
Predictive synthesis of API-centric code. MAPS@PLDI (2022)
Hao Tang, Kevin Ellis
From perception to programs: regularize, overparameterize, and amortize. MAPS@PLDI (2022)
MAPS@PLDI 2022: 6th ACM SIGPLAN International Symposium on Machine Programming, San Diego, CA, USA, 13 June 2022 MAPS@PLDI (2022)

2021