Deep Learning with Low Precision by Half-wave Gaussian Quantization

3 February 2017

Papers citing "Deep Learning with Low Precision by Half-wave Gaussian Quantization"

50 / 112 papers shown

Title
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks Yoonho Boo Sungho Shin Jungwook Choi Wonyong Sung MQ 30 29 0 30 Sep 2020
Rotated Binary Neural Network Mingbao Lin Rongrong Ji Zi-Han Xu Baochang Zhang Yan Wang Yongjian Wu Feiyue Huang Chia-Wen Lin MQ 19 129 0 28 Sep 2020
Kernel Based Progressive Distillation for Adder Neural Networks Yixing Xu Chang Xu Xinghao Chen Wei Zhang Chunjing Xu Yunhe Wang 41 47 0 28 Sep 2020
NASB: Neural Architecture Search for Binary Convolutional Neural Networks Baozhou Zhu Zaid Al-Ars P. Hofstee MQ 24 23 0 08 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 21 61 0 20 Jul 2020
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs H. Habi Roy H. Jennings Arnon Netzer MQ 29 65 0 20 Jul 2020
Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation Md Tahmid Hossain S. Teng Ferdous Sohel Guojun Lu 16 10 0 18 Jul 2020
AQD: Towards Accurate Fully-Quantized Object Detection Peng Chen Jing Liu Bohan Zhuang Mingkui Tan Chunhua Shen MQ 29 10 0 14 Jul 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 27 119 0 08 May 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 50 459 0 31 Mar 2020
Training Binary Neural Networks with Real-to-Binary Convolutions Brais Martínez Jing Yang Adrian Bulat Georgios Tzimiropoulos MQ 17 226 0 25 Mar 2020
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA M. Kroes L. Petrica S. Cotofana Michaela Blott 21 7 0 24 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer Lingbo Liu Jiaqi Chen Hefeng Wu Tianshui Chen Guanbin Li Liang Lin 29 64 0 23 Mar 2020
BATS: Binary ArchitecTure Search Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 25 67 0 03 Mar 2020
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations Hyungjun Kim Kyungsu Kim Jinseok Kim Jae-Joon Kim MQ 27 47 0 16 Feb 2020
Accelerating Deep Learning Inference via Freezing Adarsh Kumar Arjun Balasubramanian Shivaram Venkataraman Aditya Akella AI4CE 29 22 0 07 Feb 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 17 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 34 47 0 07 Jan 2020
AdderNet: Do We Really Need Multiplications in Deep Learning? Hanting Chen Yunhe Wang Chunjing Xu Boxin Shi Chao Xu Qi Tian Chang Xu 29 194 0 31 Dec 2019
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection Tianshu Chu Qin Luo Jie-jin Yang Xiaolin Huang MQ 24 6 0 29 Dec 2019
Towards Unified INT8 Training for Convolutional Neural Network Feng Zhu Ruihao Gong F. Yu Xianglong Liu Yanfei Wang Zhelong Li Xiuqi Yang Junjie Yan MQ 35 151 0 29 Dec 2019
Towards Efficient Training for Neural Network Quantization Qing Jin Linjie Yang Zhenyu A. Liao MQ 19 42 0 21 Dec 2019
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference Bram-Ernst Verhoef Nathan Laubeuf S. Cosemans P. Debacker Ioannis A. Papistas A. Mallik D. Verkest MQ 16 16 0 19 Dec 2019
QKD: Quantization-aware Knowledge Distillation Jangho Kim Yash Bhalgat Jinwon Lee Chirag I. Patel Nojun Kwak MQ 21 63 0 28 Nov 2019
Quantization Networks Jiwei Yang Xu Shen Jun Xing Xinmei Tian Houqiang Li Bing Deng Jianqiang Huang Xiansheng Hua MQ 36 339 0 21 Nov 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 37 274 0 10 Nov 2019
Accurate and Compact Convolutional Neural Networks with Trained Binarization Zhe Xu R. Cheung MQ 27 54 0 25 Sep 2019
Structured Binary Neural Networks for Image Recognition Bohan Zhuang Chunhua Shen Mingkui Tan Peng Chen Lingqiao Liu Ian Reid MQ 22 17 0 22 Sep 2019
Complexity-Scalable Neural Network Based MIMO Detection With Learnable Weight Scaling A. Mohammad C. Masouros Y. Andreopoulos 24 28 0 12 Sep 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 32 446 0 14 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 45 0 10 Aug 2019
GDRQ: Group-based Distribution Reshaping for Quantization Haibao Yu Tuopu Wen Guangliang Cheng Jiankai Sun Qi Han Jianping Shi MQ 33 3 0 05 Aug 2019
Distributed Deep Convolutional Neural Networks for the Internet-of-Things Simone Disabato M. Roveri Cesare Alippi 24 47 0 02 Aug 2019
A Targeted Acceleration and Compression Framework for Low bit Neural Networks Biao Qian Yang Wang MQ 35 0 0 09 Jul 2019
Weight Normalization based Quantization for Deep Neural Network Compression Wenhong Cai Wu-Jun Li 18 14 0 01 Jul 2019
Mixed Precision Training With 8-bit Floating Point Naveen Mellempudi Sudarshan Srinivasan Dipankar Das Bharat Kaul MQ 18 69 0 29 May 2019
Feature Map Transform Coding for Energy-Efficient CNN Inference Brian Chmiel Chaim Baskin Ron Banner Evgenii Zheltonozhskii Yevgeny Yermolin Alex Karbachevsky A. Bronstein A. Mendelson 25 24 0 26 May 2019
Training Quantized Neural Networks with a Full-precision Auxiliary Module Bohan Zhuang Lingqiao Liu Mingkui Tan Chunhua Shen Ian Reid MQ 32 62 0 27 Mar 2019
Modulated binary cliquenet Jinpeng Xia Jiasong Wu Youyong Kong Pinzheng Zhang L. Senhadji H. Shu MQ 16 0 0 27 Feb 2019
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs Mohammad Samragh Mojan Javaheripi F. Koushanfar 32 11 0 17 Jan 2019
DSConv: Efficient Convolution Operator Marcelo Gennari Roger Fawcett V. Prisacariu MQ 32 62 0 07 Jan 2019
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 27 152 0 22 Nov 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 36 131 0 03 Oct 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 25 372 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 44 61 0 15 Aug 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 29 232 0 13 Aug 2018
Training Compact Neural Networks with Binary Weights and Low Precision Activations Bohan Zhuang Chunhua Shen Ian Reid MQ 13 14 0 08 Aug 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 13 75 0 17 Jul 2018
Stochastic Layer-Wise Precision in Deep Neural Networks Griffin Lacey Graham W. Taylor S. Areibi 24 18 0 03 Jul 2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong MQ 33 133 0 01 Jul 2018