4 papers · 1 filter
An Empirical Framework for Evaluating Semantic Preservation Using Hugging Face
Nan Jia, Anita Raja, Raffi Khatchadourian
As machine learning (ML) becomes an integral part of high-autonomy systems, it is critical to ensure the trustworthiness of learning-enabled software systems (LESS). Yet, the nonde…
Speculative Automated Refactoring of Imperative Deep Learning Programs to Graph Execution
Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh +2
Efficiency is essential to support ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code -- s…
Towards Safe Automated Refactoring of Imperative Deep Learning Programs to Graph Execution
Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh +2
Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execut…
Interests, Difficulties, Sentiments, and Tool Usages of Concurrency Developers: A Large-Scale Study on Stack Overflow
Mehdi Bagherzadeh, Syed Ahmed, Srilakshmi Sripathi +1
Context: Software developers are increasingly facing the challenges of writing code that is not only concurrent but also correct. Objective: To help these developers, it is necessa…