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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"

25 / 325 papers shown
Title
Espresso: Efficient Forward Propagation for BCNNs
Espresso: Efficient Forward Propagation for BCNNs
Fabrizio Pedersoli
George Tzanetakis
Andrea Tagliasacchi
MQ
21
13
0
19 May 2017
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep
  Neural Networks
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu
Mike O'Connor
Niladrish Chatterjee
Jeff Pool
S. Keckler
33
176
0
03 May 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
92
4,615
0
16 Apr 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on
  Video Data
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data
Lukas Cavigelli
Philippe Degen
Luca Benini
BDL
30
51
0
14 Apr 2017
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded
  Vision
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision
Amr Suleiman
Yu-hsin Chen
J. Emer
Vivienne Sze
32
56
0
17 Mar 2017
NoScope: Optimizing Neural Network Queries over Video at Scale
NoScope: Optimizing Neural Network Queries over Video at Scale
Daniel Kang
John Emmons
Firas Abuzaid
Peter Bailis
Matei A. Zaharia
35
205
0
07 Mar 2017
Chain-NN: An Energy-Efficient 1D Chain Architecture for Accelerating
  Deep Convolutional Neural Networks
Chain-NN: An Energy-Efficient 1D Chain Architecture for Accelerating Deep Convolutional Neural Networks
Shihao Wang
Dajiang Zhou
Xushen Han
T. Yoshimura
3DV
19
51
0
04 Mar 2017
Fixed-point optimization of deep neural networks with adaptive step size
  retraining
Fixed-point optimization of deep neural networks with adaptive step size retraining
Sungho Shin
Yoonho Boo
Wonyong Sung
MQ
32
34
0
27 Feb 2017
Embedding Watermarks into Deep Neural Networks
Embedding Watermarks into Deep Neural Networks
Yusuke Uchida
Yuki Nagai
S. Sakazawa
Shiníchi Satoh
62
598
0
15 Jan 2017
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics
D. George
Eliu A. Huerta
36
201
0
30 Dec 2016
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
22
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
26
18
0
20 Dec 2016
Trained Ternary Quantization
Trained Ternary Quantization
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
MQ
92
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
44
512
0
04 Dec 2016
Sparsely-Connected Neural Networks: Towards Efficient VLSI
  Implementation of Deep Neural Networks
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks
A. Ardakani
C. Condo
W. Gross
33
40
0
04 Nov 2016
Bit-pragmatic Deep Neural Network Computing
Bit-pragmatic Deep Neural Network Computing
Jorge Albericio
Patrick Judd
A. Delmas
Sayeh Sharify
Andreas Moshovos
MQ
34
239
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
36
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
31
76
0
30 Sep 2016
Ternary Neural Networks for Resource-Efficient AI Applications
Ternary Neural Networks for Resource-Efficient AI Applications
Hande Alemdar
V. Leroy
Adrien Prost-Boucle
F. Pétrot
24
204
0
01 Sep 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
111
3,660
0
31 Aug 2016
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Jongsoo Park
Sheng Li
W. Wen
P. T. P. Tang
Hai Helen Li
Yiran Chen
Pradeep Dubey
39
182
0
04 Aug 2016
Local Feature Detectors, Descriptors, and Image Representations: A
  Survey
Local Feature Detectors, Descriptors, and Image Representations: A Survey
Yusuke Uchida
40
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
38
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
80
8,754
0
01 Oct 2015
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