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EIE: Efficient Inference Engine on Compressed Deep Neural Network

EIE: Efficient Inference Engine on Compressed Deep Neural Network

4 February 2016
Song Han
Xingyu Liu
Huizi Mao
Jing Pu
A. Pedram
M. Horowitz
W. Dally
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Papers citing "EIE: Efficient Inference Engine on Compressed Deep Neural Network"

11 / 211 papers shown
Title
Hardware for Machine Learning: Challenges and Opportunities
Hardware for Machine Learning: Challenges and Opportunities
Vivienne Sze
Yu-hsin Chen
Joel S. Einer
Amr Suleiman
Zhengdong Zhang
14
77
0
22 Dec 2016
Exploring the Design Space of Deep Convolutional Neural Networks at
  Large Scale
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
F. Iandola
3DV
24
18
0
20 Dec 2016
Trained Ternary Quantization
Trained Ternary Quantization
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
MQ
54
1,035
0
04 Dec 2016
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural
  Networks for Real-Time Object Detection for Autonomous Driving
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
Bichen Wu
Alvin Wan
F. Iandola
Peter H. Jin
Kurt Keutzer
22
512
0
04 Dec 2016
Bit-pragmatic Deep Neural Network Computing
Bit-pragmatic Deep Neural Network Computing
Jorge Albericio
Patrick Judd
A. Delmas
Sayeh Sharify
Andreas Moshovos
MQ
24
237
0
20 Oct 2016
Accelerating Deep Convolutional Networks using low-precision and
  sparsity
Accelerating Deep Convolutional Networks using low-precision and sparsity
Ganesh Venkatesh
Eriko Nurvitadhi
Debbie Marr
26
135
0
02 Oct 2016
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks
Minjae Lee
Kyuyeon Hwang
Jinhwan Park
Sung-Hyk Choi
Sungho Shin
Wonyong Sung
18
76
0
30 Sep 2016
Local Feature Detectors, Descriptors, and Image Representations: A
  Survey
Local Feature Detectors, Descriptors, and Image Representations: A Survey
Yusuke Uchida
25
13
0
28 Jul 2016
Structured Convolution Matrices for Energy-efficient Deep learning
Structured Convolution Matrices for Energy-efficient Deep learning
R. Appuswamy
T. Nayak
John V. Arthur
S. K. Esser
P. Merolla
J. McKinstry
T. Melano
M. Flickner
D. Modha
33
11
0
08 Jun 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural
  Networks
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
Philipp Gysel
29
127
0
20 May 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
42
8,724
0
01 Oct 2015
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