Fixed-Point Performance Analysis of Recurrent Neural Networks

4 December 2015

Papers citing "Fixed-Point Performance Analysis of Recurrent Neural Networks"

9 / 9 papers shown

Title
Patch-wise Mixed-Precision Quantization of Vision Transformer Junrui Xiao Zhikai Li Lianwei Yang Qingyi Gu MQ 32 12 0 11 May 2023
Reduced-Order Neural Network Synthesis with Robustness Guarantees R. Drummond M. Turner S. Duncan 21 9 0 18 Feb 2021
Learned Low Precision Graph Neural Networks Yiren Zhao Duo Wang Daniel Bates Robert D. Mullins M. Jamnik Pietro Lio GNN 36 34 0 19 Sep 2020
Post-Training 4-bit Quantization on Embedding Tables Hui Guan Andrey Malevich Jiyan Yang Jongsoo Park Hector Yuen MQ 19 32 0 05 Nov 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 50 305 0 28 Jan 2019
Fixed-point optimization of deep neural networks with adaptive step size retraining Sungho Shin Yoonho Boo Wonyong Sung MQ 26 34 0 27 Feb 2017
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks Minjae Lee Kyuyeon Hwang Jinhwan Park Sung-Hyk Choi Sungho Shin Wonyong Sung 23 76 0 30 Sep 2016
Dynamic Hand Gesture Recognition for Wearable Devices with Low Complexity Recurrent Neural Networks Sungho Shin Wonyong Sung SLR 16 40 0 14 Aug 2016
Convolutional Neural Networks using Logarithmic Data Representation Daisuke Miyashita Edward H. Lee B. Murmann MQ 24 425 0 03 Mar 2016