Training deep neural networks with low precision multiplications

22 December 2014

Papers citing "Training deep neural networks with low precision multiplications"

13 / 13 papers shown

Title
Analyzing Compression Techniques for Computer Vision Maniratnam Mandal Imran Khan 27 1 0 14 May 2023
Deploy Large-Scale Deep Neural Networks in Resource Constrained IoT Devices with Local Quantization Region Yi Yang A. Chen Xiaoming Chen Jiang Ji Zhenyang Chen Yan Dai MQ 13 11 0 24 May 2018
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices Ramyad Hadidi Jiashen Cao M. Woodward Michael S. Ryoo Hyesoon Kim 14 34 0 05 Feb 2018
Kronecker Recurrent Units C. Jose Moustapha Cissé F. Fleuret ODL 24 45 0 29 May 2017
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations Liangzhen Lai Naveen Suda Vikas Chandra MQ 33 85 0 08 Mar 2017
Overcoming Challenges in Fixed Point Training of Deep Convolutional Networks D. Lin S. Talathi 26 45 0 08 Jul 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks Philipp Gysel 29 127 0 20 May 2016
Learning Compact Recurrent Neural Networks Zhiyun Lu Vikas Sindhwani Tara N. Sainath 12 86 0 09 Apr 2016
Structured Transforms for Small-Footprint Deep Learning Vikas Sindhwani Tara N. Sainath Sanjiv Kumar 21 240 0 06 Oct 2015
Compressing Convolutional Neural Networks Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 24 139 0 14 Jun 2015
Rounding Methods for Neural Networks with Low Resolution Synaptic Weights Lorenz K. Muller Giacomo Indiveri 12 53 0 22 Apr 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 18 1,190 0 19 Apr 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012