14 citations · 54 across the 10 of their papers we have counts for
18 papers
HetSeq: Distributed GPU Training on Heterogeneous Infrastructure
Yifan Ding, Nicholas Botzer, Tim Weninger
Modern deep learning systems like PyTorch and Tensorflow are able to train enormous models with billions (or trillions) of parameters on a distributed infrastructure. These systems…
Library Adoption Dynamics in Software Teams
Pamela Bilo Thomas, Rachel Krohn, Tim Weninger
When a group of people strives to understand new information, struggle ensues as various ideas compete for attention. Steep learning curves are surmounted as teams learn together.…
Automatic Discovery of Political Meme Genres with Diverse Appearances
William Theisen, Joel Brogan, Pamela Bilo Thomas +4
Forms of human communication are not static -- we expect some evolution in the way information is conveyed over time because of advances in technology. One example of this phenomen…
Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections
Baoxu Shi, Jaewon Yang, Tim Weninger +2
Network representations have been shown to improve performance within a variety of tasks, including classification, clustering, and link prediction. However, most models either foc…
Modelling Online Comment Threads from their Start
Rachel Krohn, Tim Weninger
The social Web is a widely used platform for online discussion. Across social media, users can start discussions by posting a topical image, url, or message. Upon seeing this initi…
Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem
Jim Blythe, John Bollenbacher, Di Huang +12
Simulating and predicting planetary-scale techno-social systems poses heavy computational and modeling challenges. The DARPA SocialSim program set the challenge to model the evolut…