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TentacleNet: A Pseudo-Ensemble Template for Accurate Binary
  Convolutional Neural Networks

TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks

20 December 2019
Luca Mocerino
A. Calimera
    MQ
ArXivPDFHTML

Papers citing "TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks"

18 / 18 papers shown
Title
CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs
CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs
Luca Mocerino
A. Calimera
MQ
20
9
0
19 Nov 2019
PULP-NN: Accelerating Quantized Neural Networks on Parallel
  Ultra-Low-Power RISC-V Processors
PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors
Angelo Garofalo
Manuele Rusci
Francesco Conti
D. Rossi
Luca Benini
MQ
43
134
0
29 Aug 2019
Binary Ensemble Neural Network: More Bits per Network or More Networks
  per Bit?
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Shilin Zhu
Xin Dong
Hao Su
MQ
51
136
0
20 Jun 2018
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional
  Neural Networks
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks
A. Bahou
G. Karunaratne
Renzo Andri
Lukas Cavigelli
Luca Benini
MQ
36
45
0
05 Mar 2018
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze
Yu-hsin Chen
Tien-Ju Yang
J. Emer
AAML
3DV
94
3,002
0
27 Mar 2017
A GPU-Outperforming FPGA Accelerator Architecture for Binary
  Convolutional Neural Networks
A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks
Yixing Li
Zichuan Liu
Kai Xu
Hao Yu
Fengbo Ren
MQ
13
38
0
20 Feb 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
86
991
0
01 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
626
36,599
0
25 Aug 2016
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN
  Acceleration
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration
Renzo Andri
Lukas Cavigelli
D. Rossi
Luca Benini
37
196
0
17 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
133
4,342
0
16 Mar 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
126
1,349
0
08 Feb 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network
EIE: Efficient Inference Engine on Compressed Deep Neural Network
Song Han
Xingyu Liu
Huizi Mao
Jing Pu
A. Pedram
M. Horowitz
W. Dally
104
2,453
0
04 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
139
2,976
0
02 Nov 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
301
43,511
0
17 Sep 2014
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
111
1,830
0
20 Dec 2013
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
225
6,267
0
16 Dec 2013
Challenges in Representation Learning: A report on three machine
  learning contests
Challenges in Representation Learning: A report on three machine learning contests
Ian Goodfellow
D. Erhan
P. Carrier
Aaron Courville
M. Berk Mirza
...
Jingjing Xie
Lukasz Romaszko
Bing Xu
Chuang Zhang
Yoshua Bengio
CVBM
108
1,605
0
01 Jul 2013
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