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2002.09049
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Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision
AAAI Conference on Artificial Intelligence (AAAI), 2020
20 February 2020
Xingchao Liu
Mao Ye
Dengyong Zhou
Qiang Liu
MQ
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Papers citing
"Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision"
20 / 20 papers shown
FlexiQ: Adaptive Mixed-Precision Quantization for Latency/Accuracy Trade-Offs in Deep Neural Networks
Jaemin Kim
Hongjun Um
Sungkyun Kim
Yongjun Park
Jiwon Seo
MQ
178
0
0
03 Oct 2025
Assessing the Potential for Catastrophic Failure in Dynamic Post-Training Quantization
Logan Frank
Paul Ardis
AAML
120
0
0
02 Oct 2025
Compute-Optimal Quantization-Aware Training
Aleksandr Dremov
David Grangier
Angelos Katharopoulos
Awni Y. Hannun
MQ
176
1
0
26 Sep 2025
GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2025
Shashikant Ilager
Lukas Florian Briem
Ivona Brandić
248
0
0
19 Jan 2025
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu
Marco Galindo
Hongxia Xie
Lai-Kuan Wong
Hong-Han Shuai
Yung-Hui Li
Wen-Huang Cheng
376
179
0
08 Apr 2024
A SAM-guided Two-stream Lightweight Model for Anomaly Detection
Chenghao Li
Lei Qi
Xin Geng
260
18
0
29 Feb 2024
MixQuant: Mixed Precision Quantization with a Bit-width Optimization Search
Yichen Xie
Wei Le
MQ
180
6
0
29 Sep 2023
Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization
Clemens J. S. Schaefer
Navid Lambert-Shirzad
Xiaofan Zhang
Chia-Wei Chou
T. Jablin
Jian Li
Elfie Guo
Caitlin Stanton
S. Joshi
Yu Emma Wang
MQ
237
4
0
08 Jun 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
IEEE International Conference on Computer Vision (ICCV), 2023
Mao Ye
Gregory P. Meyer
Yuning Chai
Qiang Liu
248
10
0
09 Mar 2023
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yingchun Wang
Jingcai Guo
Song Guo
Weizhan Zhang
MQ
259
23
0
09 Feb 2023
Long-Range Zero-Shot Generative Deep Network Quantization
Neural Networks (NN), 2022
Yan Luo
Yangcheng Gao
Zhao Zhang
Haijun Zhang
Mingliang Xu
Meng Wang
MQ
224
10
0
13 Nov 2022
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies
European Conference on Computer Vision (ECCV), 2022
Xingrun Xing
Yangguang Li
Wei Li
Wenrui Ding
Yalong Jiang
Yufeng Wang
Jinghua Shao
Chunlei Liu
Xianglong Liu
MQ
245
9
0
03 Sep 2022
A Langevin-like Sampler for Discrete Distributions
International Conference on Machine Learning (ICML), 2022
Ruqi Zhang
Xingchao Liu
Qiang Liu
BDL
175
49
0
20 Jun 2022
Energy awareness in low precision neural networks
Nurit Spingarn-Eliezer
Ron Banner
Elad Hoffer
Hilla Ben-Yaacov
T. Michaeli
293
0
0
06 Feb 2022
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
881
91
0
17 Nov 2021
Fine-grained Data Distribution Alignment for Post-Training Quantization
European Conference on Computer Vision (ECCV), 2021
Mingliang Xu
Mingbao Lin
Mengzhao Chen
Ke Li
Chunjiang Ge
Jiayi Ji
Yongjian Wu
Rongrong Ji
MQ
224
21
0
09 Sep 2021
Confounding Tradeoffs for Neural Network Quantization
Sahaj Garg
Anirudh Jain
Joe Lou
Mitchell Nahmias
MQ
186
20
0
12 Feb 2021
Exploring Neural Networks Quantization via Layer-Wise Quantization Analysis
Shachar Gluska
Mark Grobman
MQ
107
8
0
15 Dec 2020
Dual Precision Deep Neural Network
International Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2020
J. Park
J. Choi
J. Ko
100
1
0
02 Sep 2020
Weight Equalizing Shift Scaler-Coupled Post-training Quantization
Jihun Oh
Sangjeong Lee
Meejeong Park
Pooni Walagaurav
K. Kwon
MQ
152
1
0
13 Aug 2020
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