Mixed-Precision Neural Networks: A Survey

11 August 2022

M. Rakka

M. Fouda

Pramod P. Khargonekar

Fadi J. Kurdahi

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Papers citing "Mixed-Precision Neural Networks: A Survey"

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Title
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization Peng Hu Xi Peng Erik Cambria M. Aly Jie Lin MQ 99 61 0 23 May 2022
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen Peisong Wang Jian Cheng MQ 80 67 0 13 Oct 2021
Bit-Mixer: Mixed-precision networks with runtime bit-width selection Adrian Bulat Georgios Tzimiropoulos MQ 55 27 0 31 Mar 2021
High-Capacity Expert Binary Networks Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 77 59 0 07 Oct 2020
One Weight Bitwidth to Rule Them All Ting-Wu Chin P. Chuang Vikas Chandra Diana Marculescu MQ 53 25 0 22 Aug 2020
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization Haibao Yu Qi Han Jianbo Li Jianping Shi Guangliang Cheng Bin Fan MQ 62 61 0 20 Jul 2020
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs H. Habi Roy H. Jennings Arnon Netzer MQ 70 65 0 20 Jul 2020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy Tianzhe Wang Kuan-Chieh Wang Han Cai Ji Lin Zhijian Liu Song Han MQ 80 176 0 15 Jun 2020
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming Itay Hubara Yury Nahshan Y. Hanani Ron Banner Daniel Soudry MQ 107 128 0 14 Jun 2020
Bayesian Bits: Unifying Quantization and Pruning M. V. Baalen Christos Louizos Markus Nagel Rana Ali Amjad Ying Wang Tijmen Blankevoort Max Welling MQ 82 116 0 14 May 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 95 588 0 22 Apr 2020
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation Hao Wu Patrick Judd Xiaojie Zhang Mikhail Isaev Paulius Micikevicius MQ 97 362 0 20 Apr 2020
LSQ+: Improving low-bit quantization through learnable offsets and better initialization Yash Bhalgat Jinwon Lee Markus Nagel Tijmen Blankevoort Nojun Kwak MQ 65 222 0 20 Apr 2020
Rethinking Differentiable Search for Mixed-Precision Neural Networks Zhaowei Cai Nuno Vasconcelos MQ 45 126 0 13 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 129 471 0 31 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 530 10,591 0 17 Feb 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 101 399 0 01 Jan 2020
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection Tianshu Chu Qin Luo Jie Yang Xiaolin Huang MQ 30 6 0 29 Dec 2019
Towards Efficient Training for Neural Network Quantization Qing Jin Linjie Yang Zhenyu A. Liao MQ 104 42 0 21 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 84 569 0 18 Dec 2019
The Knowledge Within: Methods for Data-Free Model Compression Matan Haroush Itay Hubara Elad Hoffer Daniel Soudry 57 109 0 03 Dec 2019
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 95 282 0 10 Nov 2019
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation Chunlei Liu Wenrui Ding Xin Xia Baochang Zhang Jiaxin Gu Jianzhuang Liu Rongrong Ji David Doermann MQ 93 75 0 24 Oct 2019
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks Yuhang Li Xin Dong Wei Wang MQ 66 259 0 28 Sep 2019
Balanced Binary Neural Networks with Gated Residual Mingzhu Shen Xianglong Liu Ruihao Gong Kai Han MQ 53 36 0 26 Sep 2019
Once-for-All: Train One Network and Specialize it for Efficient Deployment Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han OOD 117 1,283 0 26 Aug 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 74 459 0 14 Aug 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 89 885 0 25 Jun 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 75 515 0 11 Jun 2019
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence I. Chakraborty Deboleena Roy Isha Garg Aayush Ankit Kaushik Roy 49 39 0 04 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 170 18,193 0 28 May 2019
Mixed Precision DNNs: All you need is a good parametrization Stefan Uhlich Lukas Mauch Fabien Cardinaux K. Yoshiyama Javier Alonso García Stephen Tiedemann Thomas Kemp Akira Nakamura MQ 88 39 0 27 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 382 6,811 0 06 May 2019
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision Zhen Dong Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 90 528 0 29 Apr 2019
Design Automation for Efficient Deep Learning Computing Song Han Han Cai Ligeng Zhu Ji Lin Kuan-Chieh Wang Zhijian Liu Chengyue Wu 75 20 0 24 Apr 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling Zichao Guo Xiangyu Zhang Haoyuan Mu Wen Heng Zechun Liu Yichen Wei Jian Sun 106 940 0 31 Mar 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 75 810 0 21 Feb 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 82 364 0 18 Feb 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization Qian Lou Feng Guo Lantao Liu Minje Kim Lei Jiang MQ 88 97 0 15 Feb 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 113 311 0 28 Jan 2019
A Low Effort Approach to Structured CNN Design Using PCA Isha Garg Priyadarshini Panda Kaushik Roy 63 62 0 15 Dec 2018
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search Bichen Wu Xiaoliang Dai Peizhao Zhang Yanghan Wang Fei Sun Yiming Wu Yuandong Tian Peter Vajda Yangqing Jia Kurt Keutzer MQ 100 1,307 0 09 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 105 1,876 0 02 Dec 2018
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search Bichen Wu Yanghan Wang Peizhao Zhang Yuandong Tian Peter Vajda Kurt Keutzer MQ 78 273 0 30 Nov 2018
Joint Neural Architecture Search and Quantization Yukang Chen Gaofeng Meng Qian Zhang Xinbang Zhang Liangchen Song Shiming Xiang Chunhong Pan MQ 64 29 0 23 Nov 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 129 884 0 21 Nov 2018
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers Zeyuan Allen-Zhu Yuanzhi Li Yingyu Liang MLT 201 775 0 12 Nov 2018
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM David Cortes Tianyun Zhang Kaiqi Zhang Jiayu Li Jiaming Xie Yun Liang Sijia Liu Xinyu Lin Yanzhi Wang MQ 45 45 0 05 Nov 2018
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Fatemehsadat Mireshghallah Amir Yazdanbakhsh H. Esmaeilzadeh MQ 124 68 0 05 Nov 2018
Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges M. Mohammadi Ala I. Al-Fuqaha HAI 71 280 0 09 Oct 2018