Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

15 December 2017

Papers citing "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"

48 / 1,298 papers shown

Title
Cascaded Projection: End-to-End Network Compression and Acceleration Breton L. Minnehan Andreas E. Savakis 54 26 0 12 Mar 2019
Dynamic Multi-path Neural Network Yingcheng Su Shunfeng Zhou Yichao Wu Tian Su Ding Liang Xuebo Liu Dixin Zheng Yingxu Wang Junjie Yan Xiaolin Hu 18 3 0 28 Feb 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 86 366 0 18 Feb 2019
Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces Mohammad Saidur Rahman Mohsen Imani Nate Mathews M. Wright AAML 86 81 0 18 Feb 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization Qian Lou Feng Guo Lantao Liu Minje Kim Lei Jiang MQ 105 98 0 15 Feb 2019
Understanding Chat Messages for Sticker Recommendation in Messaging Apps Abhishek Laddha Mohamed Hanoosh Debdoot Mukherjee Parth Patwa Ankur Narang 45 17 0 07 Feb 2019
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization Eldad Meller Alexander Finkelstein Uri Almog Mark Grobman MQ 81 87 0 05 Feb 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 132 2,685 0 04 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 152 312 0 28 Jan 2019
QGAN: Quantized Generative Adversarial Networks Peiqi Wang Dongsheng Wang Yu Ji Xinfeng Xie Haoxuan Song XuXin Liu Yongqiang Lyu Yuan Xie GAN MQ 53 32 0 24 Jan 2019
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going Erwei Wang James J. Davis Ruizhe Zhao Ho-Cheung Ng Xinyu Niu Wayne Luk P. Cheung George A. Constantinides 88 59 0 21 Jan 2019
DSConv: Efficient Convolution Operator Marcelo Gennari Roger Fawcett V. Prisacariu MQ 48 68 0 07 Jan 2019
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks Xue Geng Jie Fu Bin Zhao Jie Lin M. Aly C. Pal V. Chandrasekhar MQ 28 6 0 04 Jan 2019
Dynamic Runtime Feature Map Pruning Tailin Liang Lei Wang Shaobo Shi C. Glossner 3DPC 44 8 0 24 Dec 2018
Precision Highway for Ultra Low-Precision Quantization Eunhyeok Park Dongyoung Kim S. Yoo Peter Vajda MQ AI4TS 158 12 0 24 Dec 2018
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks M. Park Xiaofang Xu C. Brick MQ 59 8 0 20 Dec 2018
Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II) A. Goncharenko Andrey Denisov S. Alyamkin Evgeny Terentev MQ 56 20 0 19 Dec 2018
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression Yuchao Li Shaohui Lin Baochang Zhang Jianzhuang Liu David Doermann Yongjian Wu Feiyue Huang Rongrong Ji 82 130 0 11 Dec 2018
Efficient and Robust Machine Learning for Real-World Systems Franz Pernkopf Wolfgang Roth Matthias Zöhrer Lukas Pfeifenberger Günther Schindler Holger Froening Sebastian Tschiatschek Robert Peharz Matthew Mattina Zoubin Ghahramani OOD 31 1 0 05 Dec 2018
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware Natan Liss Chaim Baskin A. Mendelson A. Bronstein Raja Giryes MQ 41 5 0 27 Nov 2018
On Periodic Functions as Regularizers for Quantization of Neural Networks Maxim Naumov Utku Diril Jongsoo Park Benjamin Ray Jedrzej Jablonski Andrew Tulloch MQ 50 25 0 24 Nov 2018
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 90 154 0 22 Nov 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 174 886 0 21 Nov 2018
Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks Amir H. Ashouri T. Abdelrahman Alwyn Dos Remedios MQ 89 12 0 10 Nov 2018
Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates Mohammad Saeed Shafiee M. Shafiee A. Wong AI4CE 18 4 0 05 Nov 2018
Rethinking floating point for deep learning Jeff Johnson MQ 131 140 0 01 Nov 2018
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks K. Chahal Manraj Singh Grover Kuntal Dey 3DH OOD 90 54 0 28 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 103 132 0 03 Oct 2018
2018 Low-Power Image Recognition Challenge S. Alyamkin M. Ardi Achille Brighton Alexander C. Berg Yiran Chen ... George K. Thiruvathukal Baiwu Zhang Jingchi Zhang Xiaopeng Zhang Shaojie Zhuo BDL 53 13 0 03 Oct 2018
Post-training 4-bit quantization of convolution networks for rapid-deployment Ron Banner Yury Nahshan Elad Hoffer Daniel Soudry MQ 87 95 0 02 Oct 2018
AI Benchmark: Running Deep Neural Networks on Android Smartphones Andrey D. Ignatov Radu Timofte William Chou Ke Wang Max Wu Tim Hartley Luc Van Gool ELM 87 324 0 02 Oct 2018
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization Chaim Baskin Natan Liss Yoav Chai Evgenii Zheltonozhskii Eli Schwartz Raja Giryes A. Mendelson A. Bronstein MQ 99 62 0 29 Sep 2018
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis A. Wong M. Shafiee Brendan Chwyl Francis Li 53 64 0 17 Sep 2018
Hardware-Aware Machine Learning: Modeling and Optimization Diana Marculescu Dimitrios Stamoulis E. Cai 67 45 0 14 Sep 2018
Discretely Relaxing Continuous Variables for tractable Variational Inference Trefor W. Evans P. Nair BDL 57 0 0 12 Sep 2018
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference J. McKinstry S. K. Esser R. Appuswamy Deepika Bablani John V. Arthur Izzet B. Yildiz D. Modha MQ 66 94 0 11 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing Xiaofei Xie Lei Ma Felix Juefei Xu Hongxu Chen Minhui Xue Yue Liu Yang Liu Jianjun Zhao Jianxiong Yin Simon See 116 41 0 04 Sep 2018
Training Compact Neural Networks with Binary Weights and Low Precision Activations Bohan Zhuang Chunhua Shen Ian Reid MQ 53 14 0 08 Aug 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew G. Howard Quoc V. Le MQ 139 3,022 0 31 Jul 2018
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations Ting-Li Chen Martin Renqiang Min Yizhou Sun 77 71 0 21 Jun 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 145 1,024 0 21 Jun 2018
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines S. Settle Manasa Bollavaram P. DÁlberto Elliott Delaye Oscar Fernández Nicholas J. Fraser A. Ng Ashish Sirasao Michael Wu MQ 46 21 0 21 May 2018
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices Sheng Chen Yang Liu Xiang Gao Zhen Han CVBM 3DH 127 565 0 20 Apr 2018
DPRed: Making Typical Activation and Weight Values Matter In Deep Learning Computing A. Delmas Sayeh Sharify Patrick Judd Kevin Siu Milos Nikolic Andreas Moshovos MQ 44 3 0 17 Apr 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 150 522 0 09 Apr 2018
A Quantization-Friendly Separable Convolution for MobileNets Tao Sheng Chen Feng Shaojie Zhuo Xiaopeng Zhang Liang Shen M. Aleksic MQ 79 115 0 22 Mar 2018
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 151 88 0 07 Feb 2018
Learning K-way D-dimensional Discrete Code For Compact Embedding Representations Ting Chen Martin Renqiang Min Yizhou Sun 71 10 0 08 Nov 2017