Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets

17 November 2015

Papers citing "Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets"

8 / 8 papers shown

Title
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 27 14 0 14 Nov 2018
Convolutional Neural Network Quantization using Generalized Gamma Distribution Doyun Kim H. Yim Sanghyuck Ha Changgwun Lee Inyup Kang MQ 19 4 0 31 Oct 2018
Low-Precision Floating-Point Schemes for Neural Network Training Marc Ortiz A. Cristal Eduard Ayguadé Marc Casas MQ 20 22 0 14 Apr 2018
Cnvlutin2: Ineffectual-Activation-and-Weight-Free Deep Neural Network Computing Patrick Judd Alberto Delmas Lascorz Sayeh Sharify Andreas Moshovos 21 27 0 29 Apr 2017
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations Liangzhen Lai Naveen Suda Vikas Chandra MQ 28 85 0 08 Mar 2017
Bit-pragmatic Deep Neural Network Computing Jorge Albericio Patrick Judd A. Delmas Sayeh Sharify Andreas Moshovos MQ 24 238 0 20 Oct 2016
Deep Neural Networks Under Stress Micael Carvalho Matthieu Cord Sandra Avila Nicolas Thome Eduardo Valle 20 14 0 11 May 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 35 1,351 0 08 Feb 2016