2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2019★ 2 cited
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization
Xiaomeng Dong, Junpyo Hong, Hsi-Ming Chang +10
As the complexity of state-of-the-art deep learning models increases by the month, implementation, interpretation, and traceability become ever-more-burdensome challenges for AI pr…
cs.DC2019★ 2 cited
Impact of Inference Accelerators on hardware selection
Dibyajyoti Pati, Caroline Favart, Purujit Bahl +6
As opportunities for AI-assisted healthcare grow steadily, model deployment faces challenges due to the specific characteristics of the industry. The configuration choice for a pro…