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Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices

Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices

17 June 2022
Aaqib Saeed
    MQ
ArXiv (abs)PDFHTML

Papers citing "Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices"

15 / 15 papers shown
Title
Adaptive Inference through Early-Exit Networks: Design, Challenges and
  Directions
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
Stefanos Laskaridis
Alexandros Kouris
Nicholas D. Lane
TPM
113
121
0
09 Jun 2021
Why should we add early exits to neural networks?
Why should we add early exits to neural networks?
Simone Scardapane
M. Scarpiniti
E. Baccarelli
A. Uncini
69
124
0
27 Apr 2020
The Right Tool for the Job: Matching Model and Instance Complexities
The Right Tool for the Job: Matching Model and Instance Complexities
Roy Schwartz
Gabriel Stanovsky
Swabha Swayamdipta
Jesse Dodge
Noah A. Smith
116
169
0
16 Apr 2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Joseph Bethge
Christian Bartz
Haojin Yang
Ying-Cong Chen
Christoph Meinel
MQ
77
91
0
16 Jan 2020
Spoken Language Identification using ConvNets
Spoken Language Identification using ConvNets
Sarthak
Shikhar Shukla
Govind Mittal
39
28
0
09 Oct 2019
Reducing Transformer Depth on Demand with Structured Dropout
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan
Edouard Grave
Armand Joulin
120
596
0
25 Sep 2019
Back to Simplicity: How to Train Accurate BNNs from Scratch?
Back to Simplicity: How to Train Accurate BNNs from Scratch?
Joseph Bethge
Haojin Yang
Marvin Bornstein
Christoph Meinel
AAMLMQ
58
58
0
19 Jun 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network
  Optimization
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
K. Helwegen
James Widdicombe
Lukas Geiger
Zechun Liu
K. Cheng
Roeland Nusselder
MQ
51
114
0
05 Jun 2019
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved
  Representational Capability and Advanced Training Algorithm
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Zechun Liu
Baoyuan Wu
Wenhan Luo
Xin Yang
Wen Liu
K. Cheng
MQ
89
557
0
01 Aug 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Pete Warden
103
1,627
0
09 Apr 2018
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon
Bradley McDanel
H. T. Kung
UQCV
99
1,151
0
06 Sep 2017
Adaptive Neural Networks for Efficient Inference
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi
Joseph Wang
O. Dekel
Venkatesh Saligrama
55
357
0
25 Feb 2017
QuickNet: Maximizing Efficiency and Efficacy in Deep Architectures
QuickNet: Maximizing Efficiency and Efficacy in Deep Architectures
Tapabrata Ghosh
42
6
0
09 Jan 2017
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
207
1,348
0
08 Feb 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
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