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Mixed Precision DNNs: All you need is a good parametrization

Mixed Precision DNNs: All you need is a good parametrization

27 May 2019
Stefan Uhlich
Lukas Mauch
Fabien Cardinaux
K. Yoshiyama
Javier Alonso García
Stephen Tiedemann
Thomas Kemp
Akira Nakamura
    MQ
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Papers citing "Mixed Precision DNNs: All you need is a good parametrization"

12 / 12 papers shown
Title
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization
  Search
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
Jordan Dotzel
Gang Wu
Andrew Li
M. Umar
Yun Ni
...
Liqun Cheng
Martin G. Dixon
N. Jouppi
Quoc V. Le
Sheng Li
MQ
30
3
0
07 Aug 2023
Mixed-Precision Neural Networks: A Survey
Mixed-Precision Neural Networks: A Survey
M. Rakka
M. Fouda
Pramod P. Khargonekar
Fadi J. Kurdahi
MQ
25
11
0
11 Aug 2022
Resource-efficient Deep Neural Networks for Automotive Radar
  Interference Mitigation
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation
J. Rock
Wolfgang Roth
Máté Tóth
Paul Meissner
Franz Pernkopf
22
43
0
25 Jan 2022
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Pierre-Emmanuel Novac
G. B. Hacene
Alain Pegatoquet
Benoit Miramond
Vincent Gripon
MQ
20
116
0
27 May 2021
End-to-end Keyword Spotting using Neural Architecture Search and
  Quantization
End-to-end Keyword Spotting using Neural Architecture Search and Quantization
David Peter
Wolfgang Roth
Franz Pernkopf
MQ
24
14
0
14 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable
  Symmetric Quantizer
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer
Phuoc Pham
J. Abraham
Jaeyong Chung
MQ
37
11
0
01 Apr 2021
Towards Efficient Training for Neural Network Quantization
Towards Efficient Training for Neural Network Quantization
Qing Jin
Linjie Yang
Zhenyu A. Liao
MQ
16
42
0
21 Dec 2019
QKD: Quantization-aware Knowledge Distillation
QKD: Quantization-aware Knowledge Distillation
Jangho Kim
Yash Bhalgat
Jinwon Lee
Chirag I. Patel
Nojun Kwak
MQ
18
63
0
28 Nov 2019
Iteratively Training Look-Up Tables for Network Quantization
Iteratively Training Look-Up Tables for Network Quantization
Fabien Cardinaux
Stefan Uhlich
K. Yoshiyama
Javier Alonso García
Lukas Mauch
Stephen Tiedemann
Thomas Kemp
Akira Nakamura
MQ
27
16
0
12 Nov 2019
Training DNN IoT Applications for Deployment On Analog NVM Crossbars
Training DNN IoT Applications for Deployment On Analog NVM Crossbars
F. García-Redondo
Shidhartha Das
G. Rosendale
19
5
0
30 Oct 2019
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural
  Networks
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks
Ahmed T. Elthakeb
Prannoy Pilligundla
Fatemehsadat Mireshghallah
Amir Yazdanbakhsh
H. Esmaeilzadeh
MQ
55
68
0
05 Nov 2018
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
337
1,049
0
10 Feb 2017
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