Loss-aware Weight Quantization of Deep Networks

23 February 2018

Papers citing "Loss-aware Weight Quantization of Deep Networks"

19 / 69 papers shown

Title
Balanced Binary Neural Networks with Gated Residual Mingzhu Shen Xianglong Liu Ruihao Gong Kai Han MQ 17 33 0 26 Sep 2019
Accurate and Compact Convolutional Neural Networks with Trained Binarization Zhe Xu R. Cheung MQ 24 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
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 44 0 10 Aug 2019
Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model Aishwarya Bhandare Vamsi Sripathi Deepthi Karkada Vivek V. Menon Sun Choi Kushal Datta V. Saletore MQ 27 130 0 03 Jun 2019
SinReQ: Generalized Sinusoidal Regularization for Low-Bitwidth Deep Quantized Training Ahmed T. Elthakeb Prannoy Pilligundla H. Esmaeilzadeh MQ 31 9 0 04 May 2019
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 16 170 0 28 Apr 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu Haoyuan Mu Xiangyu Zhang Zichao Guo Xin Yang K. Cheng Jian Sun 15 554 0 25 Mar 2019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets Penghang Yin J. Lyu Shuai Zhang Stanley Osher Y. Qi Jack Xin MQ LLMSV 21 306 0 13 Mar 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
ProxQuant: Quantized Neural Networks via Proximal Operators Yu Bai Yu-Xiang Wang Edo Liberty MQ 11 117 0 01 Oct 2018
Learning Recurrent Binary/Ternary Weights A. Ardakani Zhengyun Ji S. C. Smithson B. Meyer W. Gross MQ 14 27 0 28 Sep 2018
Learning Sparse Low-Precision Neural Networks With Learnable Regularization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 30 31 0 01 Sep 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 29 231 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
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 23 696 0 26 Jul 2018
NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference M. Nazemi Ghasem Pasandi Massoud Pedram 20 20 0 23 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 13 75 0 17 Jul 2018
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 86 85 0 07 Feb 2018