Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design

22 September 2017

Papers citing "Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design"

6 / 6 papers shown

Title
Approximating Continuous Convolutions for Deep Network Compression Theo W. Costain V. Prisacariu 33 0 0 17 Oct 2022
Adaptive Block Floating-Point for Analog Deep Learning Hardware Ayon Basumallik D. Bunandar Nicholas Dronen Nicholas Harris Ludmila Levkova Calvin McCarter Lakshmi Nair David Walter David Widemann 9 6 0 12 May 2022
SWALP : Stochastic Weight Averaging in Low-Precision Training Guandao Yang Tianyi Zhang Polina Kirichenko Junwen Bai A. Wilson Christopher De Sa 16 94 0 26 Apr 2019
DSConv: Efficient Convolution Operator Marcelo Gennari Roger Fawcett V. Prisacariu MQ 24 62 0 07 Jan 2019
Training DNNs with Hybrid Block Floating Point M. Drumond Tao R. Lin Martin Jaggi Babak Falsafi 17 94 0 04 Apr 2018
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014