Training Quantized Nets: A Deeper Understanding

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Training Quantized Nets: A Deeper Understanding

7 June 2017

Hao Li

Christoph Studer

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Papers citing "Training Quantized Nets: A Deeper Understanding"

16 / 116 papers shown

Title
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks Penghang Yin Shuai Zhang J. Lyu Stanley Osher Y. Qi Jack Xin MQ 98 62 0 15 Aug 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 114 235 0 13 Aug 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu Xin Dong Hao Su MQ 108 137 0 20 Jun 2018
Full deep neural network training on a pruned weight budget Maximilian Golub G. Lemieux Mieszko Lis 87 28 0 11 Jun 2018
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks Qianxiao Li Shuji Hao 96 76 0 04 Mar 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 104 127 0 23 Feb 2018
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 96 71 0 23 Feb 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 100 734 0 15 Feb 2018
Training and Inference with Integers in Deep Neural Networks Shuang Wu Guoqi Li F. Chen Luping Shi MQ 78 391 0 13 Feb 2018
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks Yukun Ding Jinglan Liu Jinjun Xiong Yiyu Shi MQ 120 21 0 10 Feb 2018
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights Penghang Yin Shuai Zhang J. Lyu Stanley Osher Y. Qi Jack Xin MQ 95 79 0 19 Jan 2018
Deep Learning for Real-Time Crime Forecasting and its Ternarization Bao Wang Penghang Yin Andrea L. Bertozzi P. Brantingham Stanley J. Osher Jack Xin AI4TS 55 85 0 23 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks Zuxuan Wu Tushar Nagarajan Abhishek Kumar Steven J. Rennie L. Davis Kristen Grauman Rogerio Feris 100 470 0 22 Nov 2017
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem A. Friesen Pedro M. Domingos 46 20 0 31 Oct 2017
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization D. Loroch Norbert Wehn Franz-Josef Pfreundt J. Keuper MQ 57 23 0 13 Oct 2017
Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks Zheng Xu Yen-Chang Hsu Jiawei Huang GAN 106 12 0 02 Sep 2017