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Highlights of “Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study”

In this blog post, we summarize, using code examples, our recent empirical study on challenges in migrating imperative Deep Learning programs to graph execution.

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NYU GSTEM students visit during the summer of 2022

Medha Belwadi and Pranavi Gollanapalli will join our research group this summer through the NYU GSTEM program. NYU GSTEM is a summer program for high school juniors that allows them to participate in research laboratories. The NYU Courant Institute of Mathematical Sciences offers the program and helps promote STEM to traditionally underrepresented groups, particularly females and minorities. Medha and Pranavi will be working on our recently funded NSF project on imperative Deep Learning system programming and evolution as part of the project’s broader impacts.

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Program Committee (PC) member for ICSME ’22 doctoral symposium

I am honored to be invited to serve on the Program Committee (PC) for the IEEE International Conference on Software Maintenance and Evolution (ICSME ’22) Doctoral Symposium! Please consider submitting! Full paper submissions are due July 8, 2022.

Program Committee (PC) member for ESEC/FSE ’22 demonstrations

I am excited and honored to serve as a program committee member for the ESEC/FSE 2022 formal tool demonstrations track. Please consider submitting! The deadline is June 20.

Slides for ICSE ’22 tool demo on rejuvenating feature logging statement levels now available

Slides for our ICSE ’22 formal tool demonstration on rejuvenating feature logging statement levels iva Git histories and Degree of Interest (DOI) are now available. The live demo will take place tomorrow at 11:45 am EST.

Student mentor at ICSE ’22

Excited and honored to be listed as one of the mentors for the upcoming ICSE ’22 Student Mentoring Workshop (SMeW)!

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!

Slides for SANER ’22 talk now available

Slides for our SANER 2022 talk on “Automated Evolution of Feature Logging Statement Levels Using Git Histories and Degree of Interest” are now available!

Video of SANER ’22 talk now available

A video of our IEEE SANER 2022 journal-first track talk on “Automated Evolution of Feature Logging Statement Levels Using Git Histories and Degree of Interest” is now available!

Invited to GPCE ’22 PC

I have been invited to serve as a program committee (PC) member for the 2022 ACM SIGPLAN International Conference on Generative Programming: Concepts & Experiences (GPCE).

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