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2201.08442
Cited By
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)
20 January 2022
S. Siddegowda
Marios Fournarakis
Markus Nagel
Tijmen Blankevoort
Chirag I. Patel
Abhijit Khobare
MQ
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Papers citing
"Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)"
11 / 11 papers shown
Title
Bayesian Bits: Unifying Quantization and Pruning
M. V. Baalen
Christos Louizos
Markus Nagel
Rana Ali Amjad
Ying Wang
Tijmen Blankevoort
Max Welling
MQ
56
114
0
14 May 2020
Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel
Rana Ali Amjad
M. V. Baalen
Christos Louizos
Tijmen Blankevoort
MQ
80
577
0
22 Apr 2020
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
Pierre Stock
Armand Joulin
Rémi Gribonval
Benjamin Graham
Hervé Jégou
MQ
77
149
0
12 Jul 2019
Data-Free Quantization Through Weight Equalization and Bias Correction
Markus Nagel
M. V. Baalen
Tijmen Blankevoort
Max Welling
MQ
70
512
0
11 Jun 2019
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision
Zhen Dong
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
77
526
0
29 Apr 2019
Learned Step Size Quantization
S. K. Esser
J. McKinstry
Deepika Bablani
R. Appuswamy
D. Modha
MQ
75
802
0
21 Feb 2019
DSConv: Efficient Convolution Operator
Marcelo Gennari
Roger Fawcett
V. Prisacariu
MQ
44
66
0
07 Jan 2019
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
MQ
136
1,015
0
21 Jun 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
150
3,123
0
15 Dec 2017
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,289
0
11 Feb 2015
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
379
3,129
0
15 Aug 2013
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