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Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd
  Domains

Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains

21 February 2019
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
ArXiv (abs)PDFHTML

Papers citing "Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains"

4 / 4 papers shown
Title
FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for
  Constrained Devices
FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for Constrained Devices
M. Dantas
I. R. R. Silva
A. T. O. Filho
Gibson B. N. Barbosa
Daniel Bezerra
D. Sadok
J. Kelner
M. Marquezini
Ricardo F. D. Silva
44
1
0
26 May 2022
Fast Convolution based on Winograd Minimum Filtering: Introduction and
  Development
Fast Convolution based on Winograd Minimum Filtering: Introduction and Development
Gan Tong
Libo Huang
27
2
0
01 Nov 2021
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural
  Networks Based on Graphics Processing Units
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units
Guangli Li
Lei Liu
Xueying Wang
Xiu Ma
Xiaobing Feng
MQ
50
18
0
19 Mar 2020
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
291
1,058
0
06 Mar 2020
1