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RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty
  Estimations

RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations

9 September 2017
Shuochao Yao
Yiran Zhao
Huajie Shao
Aston Zhang
Chao Zhang
Shen Li
Tarek Abdelzaher
    UQCV
    HAI
ArXivPDFHTML

Papers citing "RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations"

9 / 9 papers shown
Title
FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for
  Constrained Devices
FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for Constrained Devices
M. Dantas
I. R. R. Silva
A. T. O. Filho
Gibson B. N. Barbosa
Daniel Bezerra
D. Sadok
J. Kelner
M. Marquezini
Ricardo F. D. Silva
17
1
0
26 May 2022
Can Differential Privacy Practically Protect Collaborative Deep Learning
  Inference for the Internet of Things?
Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?
Jihyeon Ryu
Yifeng Zheng
Yansong Gao
A. Abuadbba
Junyaup Kim
Dongho Won
Surya Nepal
Hyoungshick Kim
Cong Wang
26
12
0
08 Apr 2021
Scheduling Real-time Deep Learning Services as Imprecise Computations
Scheduling Real-time Deep Learning Services as Imprecise Computations
Shuochao Yao
Yifan Hao
Yiran Zhao
Huajie Shao
Dongxin Liu
Shengzhong Liu
Tianshi Wang
Jinyang Li
Tarek Abdelzaher
20
35
0
02 Nov 2020
Deep Learning at the Edge
Deep Learning at the Edge
Sahar Voghoei
N. Tonekaboni
Jason G. Wallace
H. Arabnia
21
41
0
22 Oct 2019
STFNets: Learning Sensing Signals from the Time-Frequency Perspective
  with Short-Time Fourier Neural Networks
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks
Shuochao Yao
Ailing Piao
Wenjun Jiang
Yiran Zhao
Huajie Shao
...
Tianshi Wang
Shaohan Hu
Lu Su
Jiawei Han
Tarek Abdelzaher
AI4TS
38
78
0
21 Feb 2019
Calibrated Prediction Intervals for Neural Network Regressors
Calibrated Prediction Intervals for Neural Network Regressors
Gil Keren
N. Cummins
Björn Schuller
UQCV
30
31
0
26 Mar 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
278
5,695
0
05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
213
745
0
06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
289
9,167
0
06 Jun 2015
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