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"

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Title
VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization Cheng Gong Yao Chen Ye Lu Tao Li Cong Hao Deming Chen MQ 51 45 0 18 May 2020
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A flexible, extensible software framework for model compression based on the LC algorithm Yerlan Idelbayev Miguel Á. Carreira-Perpiñán 19 9 0 15 May 2020
Bayesian Bits: Unifying Quantization and Pruning M. V. Baalen Christos Louizos Markus Nagel Rana Ali Amjad Ying Wang Tijmen Blankevoort Max Welling MQ 95 116 0 14 May 2020
Streaming keyword spotting on mobile devices Oleg Rybakov Natasha Kononenko Niranjan A. Subrahmanya Mirkó Visontai Stella Laurenzo AI4TS 124 112 0 14 May 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 76 121 0 08 May 2020
Efficient Exact Verification of Binarized Neural Networks Kai Jia Martin Rinard AAML MQ 48 59 0 07 May 2020
AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance Young Geun Kim Carole-Jean Wu 35 3 0 06 May 2020
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators Yunyang Xiong Hanxiao Liu Suyog Gupta Berkin Akin Gabriel Bender Yongzhe Wang Pieter-Jan Kindermans Mingxing Tan Vikas Singh Bo Chen ObjD 45 133 0 30 Apr 2020
Do We Need Fully Connected Output Layers in Convolutional Networks? Zhongchao Qian Tyler L. Hayes Kushal Kafle Christopher Kanan 49 9 0 28 Apr 2020
Compact retail shelf segmentation for mobile deployment Pratyush Kumar Muktabh Mayank Srivastava 28 0 0 27 Apr 2020
A scalable and efficient convolutional neural network accelerator using HLS for a System on Chip design K. Bjerge J. Schougaard Daniel Ejnar Larsen 40 1 0 27 Apr 2020
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency Cheng-Ming Chiang Yu-Wen Tseng Yu-Syuan Xu Hsien-Kai Kuo Yi-Min Tsai ... Chia-Lin Yu B. Shen Kloze Kao Chia-Ming Cheng Hung-Jen Chen 75 22 0 27 Apr 2020
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain--Machine Interfaces Tibor Schneider Xiaying Wang Michael Hersche Lukas Cavigelli Luca Benini 57 24 0 24 Apr 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 107 590 0 22 Apr 2020
A Data and Compute Efficient Design for Limited-Resources Deep Learning Mirgahney Mohamed Gabriele Cesa Taco S. Cohen Max Welling MedIm 93 18 0 21 Apr 2020
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation Hao Wu Patrick Judd Xiaojie Zhang Mikhail Isaev Paulius Micikevicius MQ 105 362 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 67 223 0 20 Apr 2020
Training with Quantization Noise for Extreme Model Compression Angela Fan Pierre Stock Benjamin Graham Edouard Grave Remi Gribonval Hervé Jégou Armand Joulin MQ 113 246 0 15 Apr 2020
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks Alberto Marchisio Beatrice Bussolino Alessio Colucci Maurizio Martina Guido Masera Mohamed Bennai 3DPC 47 16 0 15 Apr 2020
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments Fan Mo Ali Shahin Shamsabadi Kleomenis Katevas Soteris Demetriou Ilias Leontiadis Andrea Cavallaro Hamed Haddadi FedML 68 183 0 12 Apr 2020
From Quantized DNNs to Quantizable DNNs Kunyuan Du Ya Zhang Haibing Guan MQ 56 3 0 11 Apr 2020
Sequence Model Design for Code Completion in the Modern IDE Gareth Ari Aye Gail E. Kaiser 60 30 0 10 Apr 2020
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning Sameer Wagh Shruti Tople Fabrice Benhamouda E. Kushilevitz Prateek Mittal T. Rabin FedML 112 304 0 05 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 145 476 0 31 Mar 2020
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN Chenglong Wang M. Oda K. Mori MedIm 26 3 0 24 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer Lingbo Liu Jiaqi Chen Hefeng Wu Tianshui Chen Guanbin Li Liang Lin 98 65 0 23 Mar 2020
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units Guangli Li Lei Liu Xueying Wang Xiu Ma Xiaobing Feng MQ 50 18 0 19 Mar 2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network Yuhang Li Wei Wang Haoli Bai Ruihao Gong Xin Dong F. Yu MQ 54 21 0 17 Mar 2020
Resolution Adaptive Networks for Efficient Inference Le Yang Yizeng Han Xi Chen Shiji Song Jifeng Dai Gao Huang 119 219 0 16 Mar 2020
BiDet: An Efficient Binarized Object Detector Ziwei Wang Ziyi Wu Jiwen Lu Jie Zhou MQ 123 66 0 09 Mar 2020
Generative Low-bitwidth Data Free Quantization Shoukai Xu Haokun Li Bohan Zhuang Jing Liu Jingyun Liang Chuangrun Liang Mingkui Tan MQ 79 127 0 07 Mar 2020
Learned Threshold Pruning K. Azarian Yash Bhalgat Jinwon Lee Tijmen Blankevoort MQ 86 38 0 28 Feb 2020
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding Yuyu Zhang Ping Nie Xiubo Geng Arun Ramamurthy Le Song Daxin Jiang 81 61 0 28 Feb 2020
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks Théodore Bluche Maël Primet Thibault Gisselbrecht ObjD MQ 67 24 0 25 Feb 2020
Searching for Winograd-aware Quantized Networks Javier Fernandez-Marques P. Whatmough Andrew Mundy Matthew Mattina MQ 76 40 0 25 Feb 2020
TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU Filip Vaverka Vojtěch Mrázek Z. Vašíček Lukás Sekanina 58 34 0 21 Feb 2020
Robust Quantization: One Model to Rule Them All Moran Shkolnik Brian Chmiel Ron Banner Gil Shomron Yury Nahshan A. Bronstein U. Weiser OOD MQ 104 76 0 18 Feb 2020
$Gradient $\ell_1$ Regularization for Quantization Robustness$ Gradient $\ell_1$ Regularization for Quantization Robustness Milad Alizadeh Arash Behboodi M. V. Baalen Christos Louizos Tijmen Blankevoort Max Welling MQ 58 8 0 18 Feb 2020
Taurus: A Data Plane Architecture for Per-Packet ML Tushar Swamy Alexander Rucker M. Shahbaz Ishan Gaur K. Olukotun 56 87 0 12 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 113 505 0 12 Feb 2020
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions Aaron R. Voelker Daniel Rasmussen C. Eliasmith 80 17 0 10 Feb 2020
Understanding and Improving Knowledge Distillation Jiaxi Tang Rakesh Shivanna Zhe Zhao Dong Lin Anima Singh Ed H. Chi Sagar Jain 103 134 0 10 Feb 2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks Jun Fang Ali Shafiee Hamzah Abdel-Aziz D. Thorsley Georgios Georgiadis Joseph Hassoun MQ 108 148 0 31 Jan 2020
Boosted and Differentially Private Ensembles of Decision Trees Richard Nock Wilko Henecka 54 2 0 26 Jan 2020
The Two-Pass Softmax Algorithm Marat Dukhan Artsiom Ablavatski TPM 31 8 0 13 Jan 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 82 32 0 09 Jan 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 88 51 0 07 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 155 73 0 07 Jan 2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference Jianghao Shen Y. Fu Yue Wang Pengfei Xu Zhangyang Wang Yingyan Lin MQ 60 45 0 03 Jan 2020