Home » Posts tagged 'machine learning'
Tag Archives: machine learning
Paper on hybridization challenges in imperative Deep Learning programs accepted at MSR ’22
Our paper entitled, “Challenges in migrating imperative Deep Learning programs to graph execution: An empirical study,” has been accepted to the main technical research track at the IEEE/ACM SIGSOFT 2022 International Conference on Mining Software Repositories (MSR)! Out of 138 papers, 45 were accepted, amounting to a 32.6% acceptance rate. The conference will take place later this year in Pittsburgh and is co-located with ICSE 2022.
A special congratulations to Tatiana for publishing her first full conference paper as first-author in the second year of her Ph.D. studies! Also congrats to Mehdi and Anita, and thank you for all of your hard work!
Video of ICSE ’21 talk now available
A video of our ICSE 2021 talk on “An Empirical Study of Refactorings and Technical Debt in Machine Learning Systems” is now available!
Preprint of ICSE ’21 ML systems study paper now available
A preprint of our ICSE ’21 paper on studying refactoring and technical debt in Machine Learning systems is now available.
Paper on refactorings and technical debt in Machine Learning systems accepted at ICSE 2021
Our paper entitled, “An empirical study of refactorings and technical debt in Machine Learning systems,” has been accepted to the main technical research track at the 2021 International Conference on Software Engineering (ICSE)! Out of 602 papers, 138 were accepted, amounting to a 23% acceptance rate. Congrats to Yiming, Mehdi, Rhia, Ajani, and Anita, and thank you for all of your hard work!