Towards Hardware Implementation of Neural Network-based Communication Algorithms

19 February 2019

Papers citing "Towards Hardware Implementation of Neural Network-based Communication Algorithms"

10 / 10 papers shown

Title
Rethinking floating point for deep learning Jeff Johnson MQ 109 139 0 01 Nov 2018
Low-complexity Recurrent Neural Network-based Polar Decoder with Weight Quantization Mechanism Chieh-Fang Teng Chengyang Wu A. K. Ho A. Wu 41 57 0 29 Oct 2018
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks A. Gordon Elad Eban Ofir Nachum Bo Chen Hao Wu Tien-Ju Yang Edward Choi 74 339 0 18 Nov 2017
An Iterative BP-CNN Architecture for Channel Decoding Fei Liang Cong Shen Feng Wu 50 240 0 18 Jul 2017
Model compression as constrained optimization, with application to neural nets. Part II: quantization M. A. Carreira-Perpiñán Yerlan Idelbayev MQ 53 37 0 13 Jul 2017
Training Quantized Nets: A Deeper Understanding Hao Li Soham De Zheng Xu Christoph Studer H. Samet Tom Goldstein MQ 55 211 0 07 Jun 2017
Deep MIMO Detection N. Samuel Tzvi Diskin A. Wiesel 131 409 0 04 Jun 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 142 2,203 0 02 Feb 2017
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 207 2,049 0 09 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014