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NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search

NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search

10 August 2023
Edouard Yvinec
Arnaud Dapogny
Kévin Bailly
    MQ
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Papers citing "NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search"

7 / 7 papers shown
Title
SKIM: Any-bit Quantization Pushing The Limits of Post-Training
  Quantization
SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization
Runsheng Bai
Qiang Liu
B. Liu
MQ
59
1
0
05 Dec 2024
A Comprehensive Survey of Compression Algorithms for Language Models
A Comprehensive Survey of Compression Algorithms for Language Models
Seungcheol Park
Jaehyeon Choi
Sojin Lee
U. Kang
MQ
24
11
0
27 Jan 2024
Network Memory Footprint Compression Through Jointly Learnable Codebooks
  and Mappings
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
Vittorio Giammarino
Arnaud Dapogny
Kévin Bailly
MQ
22
1
0
29 Sep 2023
Optimize Weight Rounding via Signed Gradient Descent for the
  Quantization of LLMs
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
Wenhua Cheng
Weiwei Zhang
Haihao Shen
Yiyang Cai
Xin He
Kaokao Lv
Yi. Liu
MQ
24
21
0
11 Sep 2023
Gradient-Based Post-Training Quantization: Challenging the Status Quo
Gradient-Based Post-Training Quantization: Challenging the Status Quo
Edouard Yvinec
Arnaud Dapogny
Kévin Bailly
MQ
16
0
0
15 Aug 2023
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian
  Approximation
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Cong Guo
Yuxian Qiu
Jingwen Leng
Xiaotian Gao
Chen Zhang
Yunxin Liu
Fan Yang
Yuhao Zhu
Minyi Guo
MQ
63
70
0
14 Feb 2022
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
311
1,047
0
10 Feb 2017
1