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1602.01528
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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
Fabrizio Pedersoli
George Tzanetakis
Andrea Tagliasacchi
MQ
21
13
0
19 May 2017
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
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
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
Amr Suleiman
Yu-hsin Chen
J. Emer
Vivienne Sze
32
56
0
17 Mar 2017
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
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
Sungho Shin
Yoonho Boo
Wonyong Sung
MQ
32
34
0
27 Feb 2017
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
D. George
Eliu A. Huerta
36
201
0
30 Dec 2016
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
F. Iandola
3DV
26
18
0
20 Dec 2016
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
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
A. Ardakani
C. Condo
W. Gross
33
40
0
04 Nov 2016
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
Ganesh Venkatesh
Eriko Nurvitadhi
Debbie Marr
36
135
0
02 Oct 2016
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
Hande Alemdar
V. Leroy
Adrien Prost-Boucle
F. Pétrot
24
204
0
01 Sep 2016
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
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
Yusuke Uchida
40
13
0
28 Jul 2016
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
Philipp Gysel
29
127
0
20 May 2016
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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