Value-aware Quantization for Training and Inference of Neural Networks

20 April 2018

Papers citing "Value-aware Quantization for Training and Inference of Neural Networks"

24 / 24 papers shown

Title
Data-free Weight Compress and Denoise for Large Language Models Runyu Peng Yunhua Zhou Qipeng Guo Yang Gao Hang Yan Xipeng Qiu Dahua Lin 39 1 0 26 Feb 2024
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models Minsik Cho Keivan Alizadeh Vahid Qichen Fu Saurabh N. Adya C. C. D. Mundo Mohammad Rastegari Devang Naik Peter Zatloukal MQ 26 6 0 02 Sep 2023
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference Deepika Bablani J. McKinstry S. K. Esser R. Appuswamy D. Modha MQ 23 4 0 30 Jan 2023
CSMPQ:Class Separability Based Mixed-Precision Quantization Ming-Yu Wang Taisong Jin Miaohui Zhang Zhengtao Yu MQ 28 0 0 20 Dec 2022
PD-Quant: Post-Training Quantization based on Prediction Difference Metric Jiawei Liu Lin Niu Zhihang Yuan Dawei Yang Xinggang Wang Wenyu Liu MQ 96 68 0 14 Dec 2022
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference Hai Wu Ruifei He Hao Hao Tan Xiaojuan Qi Kaibin Huang MQ 24 2 0 10 Dec 2022
Analysis of Quantization on MLP-based Vision Models Lingran Zhao Zhen Dong Kurt Keutzer MQ 29 7 0 14 Sep 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 25 11 0 11 Aug 2022
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization Sein Park Yeongsang Jang Eunhyeok Park MQ 21 1 0 31 Jul 2022
Compact representations of convolutional neural networks via weight pruning and quantization Giosuè Cataldo Marinò A. Petrini D. Malchiodi Marco Frasca MQ 21 4 0 28 Aug 2021
Post-Training Sparsity-Aware Quantization Gil Shomron F. Gabbay Samer Kurzum U. Weiser MQ 39 33 0 23 May 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 24 18 0 16 Apr 2021
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
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization Huanrui Yang Lin Duan Yiran Chen Hai Helen Li MQ 13 64 0 20 Feb 2021
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs H. T. Kung Bradley McDanel S. Zhang MQ 21 9 0 13 Jul 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference Ali Hadi Zadeh Isak Edo Omar Mohamed Awad Andreas Moshovos MQ 30 183 0 08 May 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 17 32 0 09 Jan 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 35 389 0 01 Jan 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks Zhen Dong Z. Yao Yaohui Cai Daiyaan Arfeen A. Gholami Michael W. Mahoney Kurt Keutzer MQ 31 274 0 10 Nov 2019
Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model Aishwarya Bhandare Vamsi Sripathi Deepthi Karkada Vivek V. Menon Sun Choi Kushal Datta V. Saletore MQ 24 129 0 03 Jun 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 38 304 0 28 Jan 2019
Post-training 4-bit quantization of convolution networks for rapid-deployment Ron Banner Yury Nahshan Elad Hoffer Daniel Soudry MQ 19 93 0 02 Oct 2018
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 19 45 0 29 Apr 2018