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Fighting Quantization Bias With Bias

Fighting Quantization Bias With Bias

7 June 2019
Alexander Finkelstein
Uri Almog
Mark Grobman
    MQ
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Papers citing "Fighting Quantization Bias With Bias"

13 / 13 papers shown
Title
Shedding the Bits: Pushing the Boundaries of Quantization with
  Minifloats on FPGAs
Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs
Shivam Aggarwal
Hans Jakob Damsgaard
Alessandro Pappalardo
Giuseppe Franco
Thomas B. Preußer
Michaela Blott
Tulika Mitra
MQ
19
5
0
21 Nov 2023
MRQ:Support Multiple Quantization Schemes through Model Re-Quantization
MRQ:Support Multiple Quantization Schemes through Model Re-Quantization
Manasa Manohara
Sankalp Dayal
Tarqi Afzal
Rahul Bakshi
Kahkuen Fu
MQ
20
0
0
01 Aug 2023
ACQ: Improving Generative Data-free Quantization Via Attention
  Correction
ACQ: Improving Generative Data-free Quantization Via Attention Correction
Jixing Li
Xiaozhou Guo
Benzhe Dai
Guoliang Gong
Min Jin
Gang Chen
Wenyu Mao
Huaxiang Lu
MQ
30
4
0
18 Jan 2023
Vertical Layering of Quantized Neural Networks for Heterogeneous
  Inference
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference
Hai Wu
Ruifei He
Hao Hao Tan
Xiaojuan Qi
Kaibin Huang
MQ
21
2
0
10 Dec 2022
QFT: Post-training quantization via fast joint finetuning of all degrees
  of freedom
QFT: Post-training quantization via fast joint finetuning of all degrees of freedom
Alexander Finkelstein
Ella Fuchs
Idan Tal
Mark Grobman
Niv Vosco
Eldad Meller
MQ
24
6
0
05 Dec 2022
Efficient Adaptive Activation Rounding for Post-Training Quantization
Efficient Adaptive Activation Rounding for Post-Training Quantization
Zhengyi Li
Cong Guo
Zhanda Zhu
Yangjie Zhou
Yuxian Qiu
Xiaotian Gao
Jingwen Leng
Minyi Guo
MQ
30
3
0
25 Aug 2022
Symmetry Regularization and Saturating Nonlinearity for Robust
  Quantization
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization
Sein Park
Yeongsang Jang
Eunhyeok Park
MQ
16
1
0
31 Jul 2022
A White Paper on Neural Network Quantization
A White Paper on Neural Network Quantization
Markus Nagel
Marios Fournarakis
Rana Ali Amjad
Yelysei Bondarenko
M. V. Baalen
Tijmen Blankevoort
MQ
19
503
0
15 Jun 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to
  Find N:M Transposable Masks
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
Itay Hubara
Brian Chmiel
Moshe Island
Ron Banner
S. Naor
Daniel Soudry
50
110
0
16 Feb 2021
Improving Post Training Neural Quantization: Layer-wise Calibration and
  Integer Programming
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Itay Hubara
Yury Nahshan
Y. Hanani
Ron Banner
Daniel Soudry
MQ
24
122
0
14 Jun 2020
Loss Aware Post-training Quantization
Loss Aware Post-training Quantization
Yury Nahshan
Brian Chmiel
Chaim Baskin
Evgenii Zheltonozhskii
Ron Banner
A. Bronstein
A. Mendelson
MQ
26
163
0
17 Nov 2019
Data-Free Quantization Through Weight Equalization and Bias Correction
Data-Free Quantization Through Weight Equalization and Bias Correction
Markus Nagel
M. V. Baalen
Tijmen Blankevoort
Max Welling
MQ
19
499
0
11 Jun 2019
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
319
1,049
0
10 Feb 2017
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