26 citations · 37 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 26 cited
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers
Matthew Halpern, Behzad Boroujerdian, Todd Mummert +2
Today's cloud service architectures follow a "one size fits all" deployment strategy where the same service version instantiation is provided to the end users. However, consumers a…
cs.CV2018★ 11 cited
Domain Specific Approximation for Object Detection
Ting-Wu Chin, Chia-Lin Yu, Matthew Halpern +3
There is growing interest in object detection in advanced driver assistance systems and autonomous robots and vehicles. To enable such innovative systems, we need faster object det…