Proposes Tolerance Tiers architecture for MLaaS to let consumers select accuracy-latency trade-offs, shown to outperform single-version deployment on ASR and vision workloads.
Rumba: an online quality management system for ap- proximate computing,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers
Proposes Tolerance Tiers architecture for MLaaS to let consumers select accuracy-latency trade-offs, shown to outperform single-version deployment on ASR and vision workloads.