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ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural
  Network Quantization

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization

30 August 2022
Cong Guo
Chen Zhang
Jingwen Leng
Zihan Liu
Fan Yang
Yun-Bo Liu
Minyi Guo
Yuhao Zhu
    MQ
ArXivPDFHTML

Papers citing "ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization"

12 / 12 papers shown
Title
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator
Guoyu Li
Shengyu Ye
C. L. P. Chen
Yang Wang
Fan Yang
Ting Cao
Cheng Liu
Mohamed M. Sabry
Mao Yang
MQ
54
0
0
18 Jan 2025
BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration
Yuzong Chen
Ahmed F. AbouElhamayed
Xilai Dai
Yang Wang
Marta Andronic
G. Constantinides
Mohamed S. Abdelfattah
MQ
95
0
0
18 Nov 2024
Learning from Students: Applying t-Distributions to Explore Accurate and
  Efficient Formats for LLMs
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
Jordan Dotzel
Yuzong Chen
Bahaa Kotb
Sushma Prasad
Gang Wu
Sheng R. Li
Mohamed S. Abdelfattah
Zhiru Zhang
21
7
0
06 May 2024
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Vasileios Leon
Muhammad Abdullah Hanif
Giorgos Armeniakos
Xun Jiao
Muhammad Shafique
K. Pekmestzi
Dimitrios Soudris
24
2
0
20 Jul 2023
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels
  on GPUs
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs
Yangjie Zhou
Yaoxu Song
Jingwen Leng
Zihan Liu
Weihao Cui
Zhendong Zhang
Cong Guo
Quan Chen
Li-Wei Li
Minyi Guo
GNN
22
1
0
27 May 2023
RPTQ: Reorder-based Post-training Quantization for Large Language Models
RPTQ: Reorder-based Post-training Quantization for Large Language Models
Zhihang Yuan
Lin Niu
Jia-Wen Liu
Wenyu Liu
Xinggang Wang
Yuzhang Shang
Guangyu Sun
Qiang Wu
Jiaxiang Wu
Bingzhe Wu
MQ
16
75
0
03 Apr 2023
Transkimmer: Transformer Learns to Layer-wise Skim
Transkimmer: Transformer Learns to Layer-wise Skim
Yue Guan
Zhengyi Li
Jingwen Leng
Zhouhan Lin
Minyi Guo
58
38
0
15 May 2022
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
55
67
0
14 Feb 2022
MQBench: Towards Reproducible and Deployable Model Quantization
  Benchmark
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark
Yuhang Li
Mingzhu Shen
Jian Ma
Yan Ren
Mingxin Zhao
Qi Zhang
Ruihao Gong
F. Yu
Junjie Yan
MQ
33
48
0
05 Nov 2021
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen
Zhen Dong
Jiayu Ye
Linjian Ma
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
217
571
0
12 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 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
300
1,046
0
10 Feb 2017
1