Alert button
Picture for Julian Dolby

Julian Dolby

Alert button

LakeBench: Benchmarks for Data Discovery over Data Lakes

Jul 09, 2023
Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz

Figure 1 for LakeBench: Benchmarks for Data Discovery over Data Lakes
Figure 2 for LakeBench: Benchmarks for Data Discovery over Data Lakes
Figure 3 for LakeBench: Benchmarks for Data Discovery over Data Lakes
Figure 4 for LakeBench: Benchmarks for Data Discovery over Data Lakes
Viaarxiv icon

Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning

Jan 05, 2023
Wenting Zhao, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas, Mossad Helali, Essam Mansour

Figure 1 for Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning
Figure 2 for Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning
Figure 3 for Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning
Figure 4 for Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning
Viaarxiv icon

A Scalable AutoML Approach Based on Graph Neural Networks

Oct 29, 2021
Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas

Figure 1 for A Scalable AutoML Approach Based on Graph Neural Networks
Figure 2 for A Scalable AutoML Approach Based on Graph Neural Networks
Figure 3 for A Scalable AutoML Approach Based on Graph Neural Networks
Figure 4 for A Scalable AutoML Approach Based on Graph Neural Networks
Viaarxiv icon

Can Machines Read Coding Manuals Yet? -- A Benchmark for Building Better Language Models for Code Understanding

Sep 15, 2021
Ibrahim Abdelaziz, Julian Dolby, Jamie McCusker, Kavitha Srinivas

Figure 1 for Can Machines Read Coding Manuals Yet? -- A Benchmark for Building Better Language Models for Code Understanding
Figure 2 for Can Machines Read Coding Manuals Yet? -- A Benchmark for Building Better Language Models for Code Understanding
Figure 3 for Can Machines Read Coding Manuals Yet? -- A Benchmark for Building Better Language Models for Code Understanding
Figure 4 for Can Machines Read Coding Manuals Yet? -- A Benchmark for Building Better Language Models for Code Understanding
Viaarxiv icon

Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

May 25, 2021
Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladmir Zolotov, Julian Dolby, Jie Chen, Mihir Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Ulrich Finkler

Figure 1 for Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Figure 2 for Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Figure 3 for Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Figure 4 for Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Viaarxiv icon

Graph4Code: A Machine Interpretable Knowledge Graph for Code

Feb 21, 2020
Kavitha Srinivas, Ibrahim Abdelaziz, Julian Dolby, James P. McCusker

Figure 1 for Graph4Code: A Machine Interpretable Knowledge Graph for Code
Figure 2 for Graph4Code: A Machine Interpretable Knowledge Graph for Code
Figure 3 for Graph4Code: A Machine Interpretable Knowledge Graph for Code
Figure 4 for Graph4Code: A Machine Interpretable Knowledge Graph for Code
Viaarxiv icon

Merging datasets through deep learning

Sep 05, 2018
Kavitha Srinivas, Abraham Gale, Julian Dolby

Figure 1 for Merging datasets through deep learning
Figure 2 for Merging datasets through deep learning
Figure 3 for Merging datasets through deep learning
Figure 4 for Merging datasets through deep learning
Viaarxiv icon