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NICE: Noise Injection and Clamping Estimation for Neural Network
  Quantization

NICE: Noise Injection and Clamping Estimation for Neural Network Quantization

29 September 2018
Chaim Baskin
Natan Liss
Yoav Chai
Evgenii Zheltonozhskii
Eli Schwartz
Raja Giryes
A. Mendelson
A. Bronstein
    MQ
ArXivPDFHTML

Papers citing "NICE: Noise Injection and Clamping Estimation for Neural Network Quantization"

11 / 11 papers shown
Title
RepQ: Generalizing Quantization-Aware Training for Re-Parametrized
  Architectures
RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures
Anastasiia Prutianova
Alexey Zaytsev
Chung-Kuei Lee
Fengyu Sun
Ivan Koryakovskiy
MQ
18
0
0
09 Nov 2023
Convolutional Neural Networks Quantization with Attention
Convolutional Neural Networks Quantization with Attention
Binyi Wu
Bernd Waschneck
Christian Mayr
MQ
24
1
0
30 Sep 2022
A High-Performance Adaptive Quantization Approach for Edge CNN
  Applications
A High-Performance Adaptive Quantization Approach for Edge CNN Applications
Hsu-Hsun Chin
R. Tsay
Hsin-I Wu
MQ
24
5
0
18 Jul 2021
Differentiable Model Compression via Pseudo Quantization Noise
Differentiable Model Compression via Pseudo Quantization Noise
Alexandre Défossez
Yossi Adi
Gabriel Synnaeve
DiffM
MQ
18
47
0
20 Apr 2021
Dynamic Precision Analog Computing for Neural Networks
Dynamic Precision Analog Computing for Neural Networks
Sahaj Garg
Joe Lou
Anirudh Jain
Mitchell Nahmias
45
33
0
12 Feb 2021
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs
H. Habi
Roy H. Jennings
Arnon Netzer
MQ
29
65
0
20 Jul 2020
On Noise Injection in Generative Adversarial Networks
On Noise Injection in Generative Adversarial Networks
Ruili Feng
Deli Zhao
Zhengjun Zha
GAN
23
32
0
10 Jun 2020
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate
  Inference
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference
Bram-Ernst Verhoef
Nathan Laubeuf
S. Cosemans
P. Debacker
Ioannis A. Papistas
A. Mallik
D. Verkest
MQ
11
16
0
19 Dec 2019
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
37
163
0
17 Nov 2019
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural
  Networks
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks
Chaim Baskin
Eli Schwartz
Evgenii Zheltonozhskii
Natan Liss
Raja Giryes
A. Bronstein
A. Mendelson
MQ
22
45
0
29 Apr 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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