PLDI 2022 (series) / MAPS 2022 (series) /
MAPS 2022 Program
This is the MAPS 2022 program - see the full program for PLDI 2022 and all affiliated events.
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Mon 13 JunDisplayed time zone: Pacific Time (US & Canada) change
Mon 13 Jun
Displayed time zone: Pacific Time (US & Canada) change
09:00 - 10:00 | |||
09:00 45mKeynote | Competitive Programming with AlphaCodevirtual MAPS Yujia Li Deepmind |
10:30 - 12:00 | |||
10:30 45mKeynote | Improving Software Reliability using Machine Learningvirtual MAPS Baishakhi Ray Columbia University | ||
11:15 15mTalk | Productivity Assessment of Neural Code Completion MAPS Albert Ziegler GitHub, Eirini Kalliamvakou GitHub, X. Alice Li GitHub, Andrew Rice GitHub, Devon Rifkin GitHub, Shawn Simister GitHub, Ganesh Sittampalam GitHub, Eddie Aftandilian GitHub Pre-print | ||
11:30 15mTalk | Predictive Synthesis of API-Centric Code MAPS Daye Nam CMU, Carnegie Mellon University, Baishakhi Ray Columbia University, Seohyun Kim Meta, xianshan qu , Satish Chandra Facebook Pre-print | ||
11:45 15mTalk | From Perception to Programs: Regularize, Overparameterize, and Amortize MAPS |
13:30 - 15:00 | |||
13:30 45mKeynote | Can Transformers Code?virtual MAPS Łukasz Kaiser OpenAI | ||
14:15 15mTalk | Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Modelsvirtual MAPS Md Rafiqul Islam Rabin University of Houston, Aftab Hussain University of Houston, Amin Alipour University of Houston DOI Pre-print | ||
14:30 15mTalk | A Systematic Evaluation of Large Language Models of Codevirtual MAPS Frank F. Xu Carnegie Mellon University, Uri Alon Carnegie Mellon University, Graham Neubig Carnegie Mellon University, Vincent J. Hellendoorn Carnegie Mellon University | ||
14:45 15mPoster | Poster Session MAPS |
15:30 - 17:00 | |||
15:30 45mKeynote | Unsupervised Program Synthesis: Hierarchy and Perception MAPS Kevin Ellis Cornell University | ||
16:15 15mTalk | ExeBench: An ML-scale dataset of executable C functions MAPS Jordi Armengol-Estapé University of Edinburgh, Jackson Woodruff University of Edinburgh, Alexander Brauckmann University of Edinburgh, José Wesley de Souza Magalhães University of Edinburgh, Michael F. P. O'Boyle University of Edinburgh | ||
16:30 15mTalk | Automatically Debugging AutoML Pipelines Using Maro: ML Automated Remediation Oracle MAPS | ||
16:45 15mTalk | A Graph Neural Network-based performance model for Deep Learning Applications MAPS Shikhar Singh University of Texas, James Hegarty Facebook, Hugh Leather University of Edinburgh, UK, Benoit Steiner Facebook |
22:30 - 00:00 | |||
22:30 45mKeynote | Improving Software Reliability using Machine Learningvirtual MAPS Baishakhi Ray Columbia University | ||
23:15 15mTalk | Productivity Assessment of Neural Code Completion MAPS Albert Ziegler GitHub, Eirini Kalliamvakou GitHub, X. Alice Li GitHub, Andrew Rice GitHub, Devon Rifkin GitHub, Shawn Simister GitHub, Ganesh Sittampalam GitHub, Eddie Aftandilian GitHub Pre-print | ||
23:30 15mTalk | Predictive Synthesis of API-Centric Code MAPS Daye Nam CMU, Carnegie Mellon University, Baishakhi Ray Columbia University, Seohyun Kim Meta, xianshan qu , Satish Chandra Facebook Pre-print | ||
23:45 15mTalk | From Perception to Programs: Regularize, Overparameterize, and Amortize MAPS |
Tue 14 JunDisplayed time zone: Pacific Time (US & Canada) change
Tue 14 Jun
Displayed time zone: Pacific Time (US & Canada) change
01:30 - 03:00 | |||
01:30 45mKeynote | Can Transformers Code?virtual MAPS Łukasz Kaiser OpenAI | ||
02:15 15mTalk | Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Modelsvirtual MAPS Md Rafiqul Islam Rabin University of Houston, Aftab Hussain University of Houston, Amin Alipour University of Houston DOI Pre-print | ||
02:30 15mTalk | A Systematic Evaluation of Large Language Models of Codevirtual MAPS Frank F. Xu Carnegie Mellon University, Uri Alon Carnegie Mellon University, Graham Neubig Carnegie Mellon University, Vincent J. Hellendoorn Carnegie Mellon University | ||
02:45 15mPoster | Poster Session MAPS |
03:30 - 05:00 | |||
03:30 45mKeynote | Unsupervised Program Synthesis: Hierarchy and Perception MAPS Kevin Ellis Cornell University | ||
04:15 15mTalk | ExeBench: An ML-scale dataset of executable C functions MAPS Jordi Armengol-Estapé University of Edinburgh, Jackson Woodruff University of Edinburgh, Alexander Brauckmann University of Edinburgh, José Wesley de Souza Magalhães University of Edinburgh, Michael F. P. O'Boyle University of Edinburgh | ||
04:30 15mTalk | Automatically Debugging AutoML Pipelines Using Maro: ML Automated Remediation Oracle MAPS | ||
04:45 15mTalk | A Graph Neural Network-based performance model for Deep Learning Applications MAPS Shikhar Singh University of Texas, James Hegarty Facebook, Hugh Leather University of Edinburgh, UK, Benoit Steiner Facebook |