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An exploration of parameter redundancy in deep networks with circulant
  projections
v1v2 (latest)

An exploration of parameter redundancy in deep networks with circulant projections

11 February 2015
Yu Cheng
Felix X. Yu
Rogerio Feris
Sanjiv Kumar
A. Choudhary
Shih-Fu Chang
ArXiv (abs)PDFHTML

Papers citing "An exploration of parameter redundancy in deep networks with circulant projections"

16 / 16 papers shown
Quiver neural networks
Quiver neural networks
I. Ganev
Robin Walters
195
4
0
26 Jul 2022
Low-rank Tensor Decomposition for Compression of Convolutional Neural
  Networks Using Funnel Regularization
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization
Bo-Shiuan Chu
Che-Rung Lee
237
14
0
07 Dec 2021
Universal approximation and model compression for radial neural networks
Universal approximation and model compression for radial neural networks
I. Ganev
Twan van Laarhoven
Robin Walters
348
10
0
06 Jul 2021
Faster Binary Embeddings for Preserving Euclidean Distances
Faster Binary Embeddings for Preserving Euclidean DistancesInternational Conference on Learning Representations (ICLR), 2020
Jinjie Zhang
Rayan Saab
MQ
355
8
0
01 Oct 2020
Virtual Experience to Real World Application: Sidewalk Obstacle
  Avoidance Using Reinforcement Learning for Visually Impaired
Virtual Experience to Real World Application: Sidewalk Obstacle Avoidance Using Reinforcement Learning for Visually Impaired
Faruk Ahmed
M. Mahmud
K. A. Moinuddin
Mohammed Istiaque Hyder
M. Yeasin
55
1
0
27 Sep 2020
Restructuring, Pruning, and Adjustment of Deep Models for Parallel
  Distributed Inference
Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference
Afshin Abdi
Saeed Rashidi
Faramarz Fekri
T. Krishna
139
7
0
19 Aug 2020
Deep Neural Network Approximation for Custom Hardware: Where We've Been,
  Where We're Going
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going
Erwei Wang
James J. Davis
Ruizhe Zhao
Ho-Cheung Ng
Xinyu Niu
Wayne Luk
P. Cheung
George A. Constantinides
286
66
0
21 Jan 2019
Reliable Identification of Redundant Kernels for Convolutional Neural
  Network Compression
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression
Wei Wang
Liqiang Zhu
CVBM
158
15
0
10 Dec 2018
Fast and Accurate Person Re-Identification with RMNet
Fast and Accurate Person Re-Identification with RMNet
Evgeny Izutov
3DH
177
7
0
06 Dec 2018
Wide Compression: Tensor Ring Nets
Wide Compression: Tensor Ring Nets
Wenqi Wang
Yifan Sun
Brian Eriksson
Wenlin Wang
Vaneet Aggarwal
203
183
0
25 Feb 2018
A Survey of Model Compression and Acceleration for Deep Neural Networks
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
1.0K
1,210
0
23 Oct 2017
Compression of Deep Convolutional Neural Networks for Fast and Low Power
  Mobile Applications
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim
Eunhyeok Park
S. Yoo
Taelim Choi
Lu Yang
Dongjun Shin
302
937
0
20 Nov 2015
On Binary Embedding using Circulant Matrices
On Binary Embedding using Circulant Matrices
Felix X. Yu
Aditya Bhaskara
Sanjiv Kumar
Yunchao Gong
Shih-Fu Chang
255
24
0
20 Nov 2015
Compact Bilinear Pooling
Compact Bilinear Pooling
Yang Gao
Oscar Beijbom
Ning Zhang
Trevor Darrell
330
840
0
19 Nov 2015
Structured Transforms for Small-Footprint Deep Learning
Structured Transforms for Small-Footprint Deep Learning
Vikas Sindhwani
Tara N. Sainath
Sanjiv Kumar
271
247
0
06 Oct 2015
Compact Nonlinear Maps and Circulant Extensions
Compact Nonlinear Maps and Circulant Extensions
Felix X. Yu
Sanjiv Kumar
H. Rowley
Shih-Fu Chang
149
47
0
12 Mar 2015
1
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