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BRECQ: Pushing the Limit of Post-Training Quantization by Block
  Reconstruction

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

10 February 2021
Yuhang Li
Ruihao Gong
Xu Tan
Yang Yang
Peng Hu
Qi Zhang
F. Yu
Wei Wang
Shi Gu
    MQ
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Papers citing "BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction"

13 / 113 papers shown
Title
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for
  Zero-Shot Network Quantization
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Mingliang Xu
Mingbao Lin
Gongrui Nan
Jianzhuang Liu
Baochang Zhang
Yonghong Tian
Rongrong Ji
MQ
48
71
0
17 Nov 2021
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment
Weixin Xu
Zipeng Feng
Shuangkang Fang
Song Yuan
Yi Yang
Shuchang Zhou
MQ
30
1
0
01 Nov 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving
  Adversarial Outcomes
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
Sanghyun Hong
Michael-Andrei Panaitescu-Liess
Yigitcan Kaya
Tudor Dumitras
MQ
60
13
0
26 Oct 2021
Towards Efficient Post-training Quantization of Pre-trained Language
  Models
Towards Efficient Post-training Quantization of Pre-trained Language Models
Haoli Bai
Lu Hou
Lifeng Shang
Xin Jiang
Irwin King
M. Lyu
MQ
82
47
0
30 Sep 2021
OMPQ: Orthogonal Mixed Precision Quantization
OMPQ: Orthogonal Mixed Precision Quantization
Yuexiao Ma
Taisong Jin
Xiawu Zheng
Yan Wang
Huixia Li
Yongjian Wu
Guannan Jiang
Wei Zhang
Rongrong Ji
MQ
19
34
0
16 Sep 2021
Fine-grained Data Distribution Alignment for Post-Training Quantization
Fine-grained Data Distribution Alignment for Post-Training Quantization
Mingliang Xu
Mingbao Lin
Yonghong Tian
Ke Li
Yunhang Shen
Rongrong Ji
Yongjian Wu
Rongrong Ji
MQ
84
19
0
09 Sep 2021
Quantization of Generative Adversarial Networks for Efficient Inference:
  a Methodological Study
Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study
Pavel Andreev
Alexander Fritzler
Dmitry Vetrov
MQ
19
10
0
31 Aug 2021
Post-Training Sparsity-Aware Quantization
Post-Training Sparsity-Aware Quantization
Gil Shomron
F. Gabbay
Samer Kurzum
U. Weiser
MQ
41
33
0
23 May 2021
Post-training deep neural network pruning via layer-wise calibration
Post-training deep neural network pruning via layer-wise calibration
Ivan Lazarevich
Alexander Kozlov
Nikita Malinin
3DPC
21
25
0
30 Apr 2021
Diversifying Sample Generation for Accurate Data-Free Quantization
Diversifying Sample Generation for Accurate Data-Free Quantization
Xiangguo Zhang
Haotong Qin
Yifu Ding
Ruihao Gong
Qing Yan
Renshuai Tao
Yuhang Li
F. Yu
Xianglong Liu
MQ
56
94
0
01 Mar 2021
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
Ying Nie
Kai Han
Zhenhua Liu
Chunjing Xu
Yunhe Wang
OOD
42
22
0
21 Jan 2021
Once Quantization-Aware Training: High Performance Extremely Low-bit
  Architecture Search
Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search
Mingzhu Shen
Feng Liang
Ruihao Gong
Yuhang Li
Chuming Li
Chen Lin
F. Yu
Junjie Yan
Wanli Ouyang
MQ
31
36
0
09 Oct 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,330
0
05 Nov 2016
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