EDGETUNE

Inference-Aware Multi-Parameter Tuning

Conference paper (2022)

Authors

Isabelly Rocha University of Neuchâtel
Pascal Felber University of Neuchâtel
Valerio Schiavoni University of Neuchâtel
Lydia Y. Chen Data-Intensive Systems - EEMCS
Research Group
Data-Intensive Systems (EEMCS) (TU Delft)
Copyright: © 2022 Isabelly Rocha, Pascal Felber, Valerio Schiavoni, Lydia Y. Chen
DOI
help_outline
https://doi.org/10.1145/3528535.3533273
Training Tuning Inference Deep neural networks
More Info
expand_more

Published Date

2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Data-Intensive Systems