Dalgali, Ayse, and Kevin Crowston. “Sharing Open Deep Learning Models”. Proceedings of the 52nd Hawai’i International Conference on System Sciences (HICSS-52), 2019, doi:10.24251/HICSS.2019.256.
Abstract
<p>We examine how and why trained deep learning (DL) models are shared, and by whom, and why some developers share their models while others do not. Prior research has examined sharing of data and software code, but DL models are a hybrid of the two. The results from a Qualtrics survey administered to GitHub users and academics who publish on DL show that a diverse population shares DL models, from students to computer/data scientists.
Year of Conference
2019
Conference Name
Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52)
URL
http://hdl.handle.net/10125/59650
DOI
10.24251/HICSS.2019.256