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DRESS: Dynamic REal-time Sparse Subnets

DRESS: Dynamic REal-time Sparse Subnets

1 July 2022
Zhongnan Qu
Syed Shakib Sarwar
Xin Dong
Yuecheng Li
Huseyin Ekin Sumbul
B. D. Salvo
    3DH
ArXiv (abs)PDFHTML

Papers citing "DRESS: Dynamic REal-time Sparse Subnets"

19 / 19 papers shown
Title
Dynamic Slimmable Network
Dynamic Slimmable Network
Changlin Li
Guangrun Wang
Bing Wang
Xiaodan Liang
Zhihui Li
Xiaojun Chang
73
144
0
24 Mar 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to
  Find N:M Transposable Masks
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
Itay Hubara
Brian Chmiel
Moshe Island
Ron Banner
S. Naor
Daniel Soudry
105
119
0
16 Feb 2021
Dynamic Neural Networks: A Survey
Dynamic Neural Networks: A Survey
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DHAI4TSAI4CE
115
651
0
09 Feb 2021
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Aojun Zhou
Yukun Ma
Junnan Zhu
Jianbo Liu
Zhijie Zhang
Kun Yuan
Wenxiu Sun
Hongsheng Li
207
248
0
08 Feb 2021
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
Bailin Li
Bowen Wu
Jiang Su
Guangrun Wang
Liang Lin
84
175
0
06 Jul 2020
Adaptive Loss-aware Quantization for Multi-bit Networks
Adaptive Loss-aware Quantization for Multi-bit Networks
Zhongnan Qu
Zimu Zhou
Yun Cheng
Lothar Thiele
MQ
131
55
0
18 Dec 2019
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Thomas Verelst
Tinne Tuytelaars
57
152
0
06 Dec 2019
Rigging the Lottery: Making All Tickets Winners
Rigging the Lottery: Making All Tickets Winners
Utku Evci
Trevor Gale
Jacob Menick
Pablo Samuel Castro
Erich Elsen
193
602
0
25 Nov 2019
Fast Sparse ConvNets
Fast Sparse ConvNets
Erich Elsen
Marat Dukhan
Trevor Gale
Karen Simonyan
170
153
0
21 Nov 2019
Once-for-All: Train One Network and Specialize it for Efficient
  Deployment
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai
Chuang Gan
Tianzhe Wang
Zhekai Zhang
Song Han
OOD
105
1,283
0
26 Aug 2019
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
359
6,782
0
06 May 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
Zechun Liu
Haoyuan Mu
Xiangyu Zhang
Zichao Guo
Xin Yang
K. Cheng
Jian Sun
78
563
0
25 Mar 2019
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
85
555
0
21 Dec 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
242
3,473
0
09 Mar 2018
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
Liangzhen Lai
Naveen Suda
Vikas Chandra
66
380
0
19 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
184
19,316
0
13 Jan 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,858
0
17 Apr 2017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
172
4,368
0
16 Mar 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
261
8,854
0
01 Oct 2015
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