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Recurrent Neural Networks With Limited Numerical Precision

Recurrent Neural Networks With Limited Numerical Precision

24 August 2016
Joachim Ott
Zhouhan Lin
Wenjie Qu
Shih-Chii Liu
Yoshua Bengio
    MQ
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Papers citing "Recurrent Neural Networks With Limited Numerical Precision"

15 / 15 papers shown
Title
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs
Armand Foucault
Franck Mamalet
François Malgouyres
MQ
85
0
0
28 Jan 2025
BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference
BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference
Van Thien Nguyen
William Guicquero
Gilles Sicard
3DV
MQ
82
2
0
24 Jan 2025
Training Integer-Only Deep Recurrent Neural Networks
Training Integer-Only Deep Recurrent Neural Networks
V. Nia
Eyyub Sari
Vanessa Courville
M. Asgharian
MQ
53
2
0
22 Dec 2022
iRNN: Integer-only Recurrent Neural Network
iRNN: Integer-only Recurrent Neural Network
Eyyub Sari
Vanessa Courville
V. Nia
MQ
56
4
0
20 Sep 2021
An Ultra-low Power RNN Classifier for Always-On Voice Wake-Up Detection
  Robust to Real-World Scenarios
An Ultra-low Power RNN Classifier for Always-On Voice Wake-Up Detection Robust to Real-World Scenarios
E. Hardy
F. Badets
19
3
0
08 Mar 2021
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized
  Deep Neural Networks
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
Yoonho Boo
Sungho Shin
Jungwook Choi
Wonyong Sung
MQ
30
29
0
30 Sep 2020
Fully Quantized Transformer for Machine Translation
Fully Quantized Transformer for Machine Translation
Gabriele Prato
Ella Charlaix
Mehdi Rezagholizadeh
MQ
13
68
0
17 Oct 2019
Recurrent Neural Networks: An Embedded Computing Perspective
Recurrent Neural Networks: An Embedded Computing Perspective
Nesma M. Rezk
M. Purnaprajna
Tomas Nordstrom
Z. Ul-Abdin
40
81
0
23 Jul 2019
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting
Justice Amoh
K. Odame
26
17
0
13 Feb 2019
A Survey on Methods and Theories of Quantized Neural Networks
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
MQ
29
231
0
13 Aug 2018
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
30
135
0
20 Jun 2018
$\mathcal{G}$-SGD: Optimizing ReLU Neural Networks in its Positively
  Scale-Invariant Space
G\mathcal{G}G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
Qi Meng
Shuxin Zheng
Huishuai Zhang
Wei Chen
Zhi-Ming Ma
Tie-Yan Liu
35
38
0
11 Feb 2018
Mixed Precision Training
Mixed Precision Training
Paulius Micikevicius
Sharan Narang
Jonah Alben
G. Diamos
Erich Elsen
...
Boris Ginsburg
Michael Houston
Oleksii Kuchaiev
Ganesh Venkatesh
Hao Wu
90
1,764
0
10 Oct 2017
SEP-Nets: Small and Effective Pattern Networks
SEP-Nets: Small and Effective Pattern Networks
Zhe Li
Xiaoyu Wang
Xutao Lv
Tianbao Yang
30
12
0
13 Jun 2017
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
42
1,842
0
22 Sep 2016
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