Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

22 September 2016

Papers citing "Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations"

50 / 526 papers shown

Title
Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks Fatemeh Sharifizadeh M. Ganjtabesh A. Nowzari-Dalini 53 0 0 10 Feb 2021
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach Jiawei Shao Yuyi Mao Jun Zhang 92 221 0 08 Feb 2021
Benchmarking Quantized Neural Networks on FPGAs with FINN Quentin Ducasse Pascal Cotret Loïc Lagadec Rob Stewart MQ 52 14 0 02 Feb 2021
Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators Hamzah Abdel-Aziz Ali Shafiee J. Shin A. Pedram Joseph Hassoun MQ 67 11 0 27 Jan 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 233 703 0 24 Jan 2021
Generative Zero-shot Network Quantization Xiangyu He Qinghao Hu Peisong Wang Jian Cheng GAN MQ 109 23 0 21 Jan 2021
NetCut: Real-Time DNN Inference Using Layer Removal Mehrshad Zandigohar Deniz Erdogmus G. Schirner 33 5 0 13 Jan 2021
Fast convolutional neural networks on FPGAs with hls4ml T. Aarrestad Vladimir Loncar Nicolò Ghielmetti M. Pierini S. Summers ... N. Tran Miaoyuan Liu E. Kreinar Zhenbin Wu Duc Hoang 82 109 0 13 Jan 2021
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks Karina Vasquez Yeshwanth Venkatesha Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda MQ 71 15 0 12 Jan 2021
UnitedQA: A Hybrid Approach for Open Domain Question Answering Hao Cheng Yelong Shen Xiaodong Liu Pengcheng He Weizhu Chen Jianfeng Gao 100 56 0 01 Jan 2021
Adaptive Precision Training for Resource Constrained Devices Tian Huang Yaoyu Zhang Qiufeng Wang 65 5 0 23 Dec 2020
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 121 145 0 21 Dec 2020
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification Angus Dempster Daniel F. Schmidt Geoffrey I. Webb AI4TS 113 369 0 16 Dec 2020
Recurrence of Optimum for Training Weight and Activation Quantized Networks Ziang Long Penghang Yin Jack Xin MQ 54 4 0 10 Dec 2020
The Lottery Ticket Hypothesis for Object Recognition Sharath Girish Shishira R. Maiya Kamal Gupta Hao Chen L. Davis Abhinav Shrivastava 141 61 0 08 Dec 2020
Extreme Model Compression for On-device Natural Language Understanding Kanthashree Mysore Sathyendra Samridhi Choudhary Leah Nicolich-Henkin 29 9 0 30 Nov 2020
A Review of Recent Advances of Binary Neural Networks for Edge Computing Wenyu Zhao Teli Ma Xuan Gong Baochang Zhang David Doermann MQ 63 24 0 24 Nov 2020
Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification Ziang Long Penghang Yin Jack Xin MQ 65 4 0 23 Nov 2020
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures Tianchen Zhao Xuefei Ning Xiangsheng Shi Songyi Yang Shuang Liang Peng Lei Jianfei Chen Huazhong Yang Yu Wang MQ 77 7 0 21 Nov 2020
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing Yuhang Li Feng Zhu Ruihao Gong Mingzhu Shen Xin Dong F. Yu Shaoqing Lu Shi Gu MQ 95 40 0 19 Nov 2020
Ultra-Lightweight Speech Separation via Group Communication Yi Luo Cong Han N. Mesgarani VLM 78 30 0 17 Nov 2020
An SMT-Based Approach for Verifying Binarized Neural Networks Guy Amir Haoze Wu Clark W. Barrett Guy Katz 62 58 0 05 Nov 2020
Analytical aspects of non-differentiable neural networks G. P. Leonardi Matteo Spallanzani 35 1 0 03 Nov 2020
A Greedy Algorithm for Quantizing Neural Networks Eric Lybrand Rayan Saab MQ 59 27 0 29 Oct 2020
Neural Network Approximation: Three Hidden Layers Are Enough Zuowei Shen Haizhao Yang Shijun Zhang 116 121 0 25 Oct 2020
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles Ran Xu Chen-Da Liu-Zhang Pengcheng Wang Jayoung Lee Subrata Mitra Somali Chaterji Yin Li S. Bagchi 63 59 0 21 Oct 2020
RNNs can generate bounded hierarchical languages with optimal memory John Hewitt Michael Hahn Surya Ganguli Percy Liang Christopher D. Manning LRM 71 54 0 15 Oct 2020
Revisiting BFloat16 Training Pedram Zamirai Jian Zhang Christopher R. Aberger Christopher De Sa FedML MQ 35 20 0 13 Oct 2020
SMYRF: Efficient Attention using Asymmetric Clustering Giannis Daras Nikita Kitaev Augustus Odena A. Dimakis 98 46 0 11 Oct 2020
TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training Reza Hojabr Kamyar Givaki Kossar Pourahmadi Parsa Nooralinejad A. Khonsari Dara Rahmati M. Najafi 28 4 0 11 Oct 2020
Real-time Mask Detection on Google Edge TPU Keondo Park Won Jang Woochul Lee K. Nam Kihong Seong Kyuwook Chai Wen-Syan Li 50 13 0 09 Oct 2020
Rank and run-time aware compression of NLP Applications Urmish Thakker Jesse G. Beu Dibakar Gope Ganesh S. Dasika Matthew Mattina 38 11 0 06 Oct 2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions Rahul Mishra Hari Prabhat Gupta Tanima Dutta 63 92 0 05 Oct 2020
Joint Pruning & Quantization for Extremely Sparse Neural Networks Po-Hsiang Yu Sih-Sian Wu Jan P. Klopp Liang-Gee Chen Shao-Yi Chien MQ 79 16 0 05 Oct 2020
GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning Vasisht Duddu A. Boutet Virat Shejwalkar GNN 57 4 0 02 Oct 2020
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments Bruno Ferrarini Michael Milford Klaus D. McDonald-Maier Shoaib Ehsan MQ 57 23 0 01 Oct 2020
BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision A. Redfern Lijun Zhu Molly K. Newquist MQ 165 12 0 01 Oct 2020
Detecting soccer balls with reduced neural networks: a comparison of multiple architectures under constrained hardware scenarios Douglas De Rizzo Meneghetti T. P. D. Homem Jonas Henrique Renolfi de Oliveira I. J. Silva D. Perico Reinaldo A. C. Bianchi 32 7 0 28 Sep 2020
NITI: Training Integer Neural Networks Using Integer-only Arithmetic Maolin Wang Seyedramin Rasoulinezhad Philip H. W. Leong Hayden Kwok-Hay So MQ 47 40 0 28 Sep 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 76 63 0 17 Sep 2020
Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification Nicolo Colombo Yang Gao 37 2 0 11 Sep 2020
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks Qing Ye Y. Han Yanan Sun Jiancheng Lv 45 3 0 06 Sep 2020
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima Wonyong Sung Iksoo Choi Jinhwan Park Seokhyun Choi Sungho Shin ODL 56 7 0 05 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 113 72 0 02 Sep 2020
Stochastic Markov Gradient Descent and Training Low-Bit Neural Networks Jonathan Ashbrock A. Powell MQ 62 5 0 25 Aug 2020
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework Haotao Wang Shupeng Gui Haichuan Yang Ji Liu Zhangyang Wang 105 82 0 25 Aug 2020
Training Sparse Neural Networks using Compressed Sensing Jonathan W. Siegel Jianhong Chen Pengchuan Zhang Jinchao Xu 82 5 0 21 Aug 2020
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud Stefanos Laskaridis Stylianos I. Venieris Mario Almeida Ilias Leontiadis Nicholas D. Lane 91 274 0 14 Aug 2020
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models Eunhyeok Park S. Yoo MQ 54 85 0 11 Aug 2020
Controlling Information Capacity of Binary Neural Network D. Ignatov Andrey D. Ignatov MQ 112 22 0 04 Aug 2020