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Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks
  on Reconfigurable Logic

Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic

17 July 2018
Jiang Su
Nicholas J. Fraser
Giulio Gambardella
Michaela Blott
Gianluca Durelli
David B. Thomas
Philip H. W. Leong
P. Cheung
    MQ
ArXiv (abs)PDFHTML

Papers citing "Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic"

13 / 13 papers shown
Title
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
138
505
0
03 Feb 2017
Scaling Binarized Neural Networks on Reconfigurable Logic
Scaling Binarized Neural Networks on Reconfigurable Logic
Nicholas J. Fraser
Yaman Umuroglu
Giulio Gambardella
Michaela Blott
Philip H. W. Leong
Magnus Jahre
K. Vissers
MQ
67
57
0
12 Jan 2017
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Yaman Umuroglu
Nicholas J. Fraser
Giulio Gambardella
Michaela Blott
Philip H. W. Leong
Magnus Jahre
K. Vissers
MQ
101
996
0
01 Dec 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low
  Bitwidth Gradients
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
Shuchang Zhou
Yuxin Wu
Zekun Ni
Xinyu Zhou
He Wen
Yuheng Zou
MQ
129
2,090
0
20 Jun 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
175
4,369
0
16 Mar 2016
Quantized Convolutional Neural Networks for Mobile Devices
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu
Cong Leng
Yuhang Wang
Qinghao Hu
Jian Cheng
MQ
101
1,167
0
21 Dec 2015
Resiliency of Deep Neural Networks under Quantization
Resiliency of Deep Neural Networks under Quantization
Wonyong Sung
Sungho Shin
Kyuyeon Hwang
MQ
62
158
0
20 Nov 2015
Compressing Neural Networks with the Hashing Trick
Compressing Neural Networks with the Hashing Trick
Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
165
1,191
0
19 Apr 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
367
19,733
0
09 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,312
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
Predicting Parameters in Deep Learning
Predicting Parameters in Deep Learning
Misha Denil
B. Shakibi
Laurent Dinh
MarcÁurelio Ranzato
Nando de Freitas
OOD
211
1,321
0
03 Jun 2013
High-Performance Neural Networks for Visual Object Classification
High-Performance Neural Networks for Visual Object Classification
D. Ciresan
U. Meier
Jonathan Masci
L. Gambardella
Jürgen Schmidhuber
BDL3DH
99
316
0
01 Feb 2011
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