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
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
Backprop with Approximate Activations for Memory-efficient Network Training Ayan Chakrabarti Benjamin Moseley 65 38 0 23 Jan 2019
Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches? Pierre Falez Pierre Tirilly Ioan Marius Bilasco P. Devienne Pierre Boulet SSL 67 33 0 14 Jan 2019
A Distributed Synchronous SGD Algorithm with Global Top- $k$ Sparsification for Low Bandwidth Networks Shaoshuai Shi Qiang-qiang Wang Kaiyong Zhao Zhenheng Tang Yuxin Wang Xiang Huang Xiaowen Chu 79 136 0 14 Jan 2019
DSConv: Efficient Convolution Operator Marcelo Gennari Roger Fawcett V. Prisacariu MQ 48 68 0 07 Jan 2019
Regularized Binary Network Training Sajad Darabi Mouloud Belbahri Matthieu Courbariaux V. Nia MQ 65 32 0 31 Dec 2018
Efficient Super Resolution Using Binarized Neural Network Yinglan Ma Hongyu Xiong Zhe Hu Lizhuang Ma MQ SupR 48 73 0 16 Dec 2018
Proximal Mean-field for Neural Network Quantization Thalaiyasingam Ajanthan P. Dokania Leonid Sigal Philip Torr MQ 80 20 0 11 Dec 2018
Accelerating Convolutional Neural Networks via Activation Map Compression Georgios Georgiadis 86 76 0 10 Dec 2018
Knowledge Distillation with Feature Maps for Image Classification Wei-Chun Chen Chia-Che Chang Chien-Yu Lu Che-Rung Lee 61 36 0 03 Dec 2018
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation Jiaxin Gu Ce Li Baochang Zhang Jiawei Han Xianbin Cao Jianzhuang Liu David Doermann 3DV 236 87 0 30 Nov 2018
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network Sachin Mehta Mohammad Rastegari Linda G. Shapiro Hannaneh Hajishirzi VLM 62 398 0 28 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
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 82 14 0 14 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 134 68 0 05 Nov 2018
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance Zechun Liu Wenhan Luo Baoyuan Wu Xin Yang Wen Liu K. Cheng MQ 67 95 0 04 Nov 2018
Online Embedding Compression for Text Classification using Low Rank Matrix Factorization Anish Acharya Rahul Goel A. Metallinou Inderjit Dhillon 92 62 0 01 Nov 2018
Convolutional Neural Network Quantization using Generalized Gamma Distribution Doyun Kim H. Yim Sanghyuck Ha Changgwun Lee Inyup Kang MQ 26 4 0 31 Oct 2018
DeepTwist: Learning Model Compression via Occasional Weight Distortion Dongsoo Lee Parichay Kapoor Byeongwook Kim 67 19 0 30 Oct 2018
Low-complexity Recurrent Neural Network-based Polar Decoder with Weight Quantization Mechanism Chieh-Fang Teng Chengyang Wu A. K. Ho A. Wu 47 57 0 29 Oct 2018
Automating Generation of Low Precision Deep Learning Operators M. Cowan T. Moreau Tianqi Chen Luis Ceze MQ 61 13 0 25 Oct 2018
Bayesian Compression for Natural Language Processing Nadezhda Chirkova E. Lobacheva Dmitry Vetrov BDL 65 15 0 25 Oct 2018
Fault Tolerance in Iterative-Convergent Machine Learning Aurick Qiao Bryon Aragam Bingjing Zhang Eric Xing 73 42 0 17 Oct 2018
Revisit Batch Normalization: New Understanding from an Optimization View and a Refinement via Composition Optimization Xiangru Lian Ji Liu 33 6 0 15 Oct 2018
Predictive Uncertainty through Quantization Bastiaan S. Veeling Rianne van den Berg Max Welling UQCV 50 1 0 12 Oct 2018
Quantization for Rapid Deployment of Deep Neural Networks J. Lee Sangwon Ha Saerom Choi Won-Jo Lee Seungwon Lee MQ 71 49 0 12 Oct 2018
Training Deep Neural Network in Limited Precision Hyunsun Park J. Lee Youngmin Oh Sangwon Ha Seungwon Lee 23 9 0 12 Oct 2018
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA Cheng Fu Shilin Zhu Hao Su Ching-En Lee Jishen Zhao MQ 70 32 0 04 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 101 132 0 03 Oct 2018
ProxQuant: Quantized Neural Networks via Proximal Operators Yu Bai Yu Wang Edo Liberty MQ 89 117 0 01 Oct 2018
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression Yiren Zhao Ilia Shumailov Robert D. Mullins Ross J. Anderson AAML 79 43 0 29 Sep 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 92 62 0 29 Sep 2018
Learning Recurrent Binary/Ternary Weights A. Ardakani Zhengyun Ji S. C. Smithson B. Meyer W. Gross MQ 64 28 0 28 Sep 2018
Design Space Exploration of Neural Network Activation Function Circuits Tao Yang Yadong Wei Zhaopeng Tu Haolun Zeng Michel A. Kinsy Nanning Zheng Pengju Ren 34 51 0 22 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 151 124 0 10 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 103 41 0 04 Sep 2018
Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss S. Jung Changyong Son Seohyung Lee JinWoo Son Youngjun Kwak Jae-Joon Han Sung Ju Hwang Changkyu Choi MQ 67 376 0 17 Aug 2018
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks Penghang Yin Shuai Zhang J. Lyu Stanley Osher Y. Qi Jack Xin MQ 93 62 0 15 Aug 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
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm Zechun Liu Baoyuan Wu Wenhan Luo Xin Yang Wen Liu K. Cheng MQ 112 557 0 01 Aug 2018
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition Zhan Yang Osolo Ian Raymond Chengyuan Zhang Ying Wan J. Long CVBM 72 36 0 31 Jul 2018
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks Shuhang Gu Radu Timofte Luc Van Gool AI4CE SupR 66 6 0 30 Jul 2018
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing Augustus Odena Ian Goodfellow AAML 76 323 0 28 Jul 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 66 703 0 26 Jul 2018
Recent Advances in Convolutional Neural Network Acceleration Qianru Zhang Meng Zhang Tinghuan Chen Zhifei Sun Yuzhe Ma Bei Yu 77 351 0 23 Jul 2018
Statistical Model Compression for Small-Footprint Natural Language Understanding Grant P. Strimel Kanthashree Mysore Sathyendra Stanislav Peshterliev 36 9 0 19 Jul 2018
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN) Jungwook Choi P. Chuang Zhuo Wang Swagath Venkataramani Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 64 76 0 17 Jul 2018
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs Vladimir Rybalkin Alessandro Pappalardo M. M. Ghaffar Giulio Gambardella Norbert Wehn Michaela Blott 122 72 0 11 Jul 2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong MQ 94 133 0 01 Jul 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu Xin Dong Hao Su MQ 100 137 0 20 Jun 2018