Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off

19 July 2016

Papers citing "Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off"

5 / 5 papers shown

Title
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications Vasileios Leon Muhammad Abdullah Hanif Giorgos Armeniakos Xun Jiao Muhammad Shafique K. Pekmestzi Dimitrios Soudris 29 3 0 20 Jul 2023
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes Francesco Daghero Alessio Burrello Enrico Macii P. Montuschi M. Poncino Daniele Jahier Pagliari 8 4 0 16 Jun 2023
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence Francesco Daghero Alessio Burrello Daniele Jahier Pagliari Luca Benini Enrico Macii M. Poncino 6 6 0 07 Apr 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Martin Rapp R. Khalili Kilian Pfeiffer J. Henkel 19 18 0 16 Dec 2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference Min Li Yu Li Ye Tian Li Jiang Qiang Xu 21 33 0 10 May 2021