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Design Automation for Fast, Lightweight, and Effective Deep Learning
  Models: A Survey

Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey

22 August 2022
Dalin Zhang
Kaixuan Chen
Yan Zhao
B. Yang
Li-Ping Yao
Christian S. Jensen
ArXivPDFHTML

Papers citing "Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey"

15 / 15 papers shown
Title
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint
  Search
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search
Jiaqi Li
Haoran Li
Yaran Chen
Zixiang Ding
Nannan Li
Mingjun Ma
Zicheng Duan
Dong Zhao
22
9
0
08 Oct 2021
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic
  Distillation
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation
Lewei Yao
Renjie Pi
Hang Xu
Wei Zhang
Zhenguo Li
Tong Zhang
74
38
0
27 May 2021
AACP: Model Compression by Accurate and Automatic Channel Pruning
AACP: Model Compression by Accurate and Automatic Channel Pruning
Lanbo Lin
Yujiu Yang
Zhenhua Guo
MQ
22
12
0
31 Jan 2021
Network Automatic Pruning: Start NAP and Take a Nap
Network Automatic Pruning: Start NAP and Take a Nap
Wenyuan Zeng
Yuwen Xiong
R. Urtasun
26
9
0
17 Jan 2021
Generalized Latency Performance Estimation for Once-For-All Neural
  Architecture Search
Generalized Latency Performance Estimation for Once-For-All Neural Architecture Search
Muhtadyuzzaman Syed
A. Srinivasan
16
9
0
04 Jan 2021
Resource-efficient DNNs for Keyword Spotting using Neural Architecture
  Search and Quantization
Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization
David Peter
Wolfgang Roth
Franz Pernkopf
13
6
0
18 Dec 2020
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Bert Moons
Parham Noorzad
Andrii Skliar
G. Mariani
Dushyant Mehta
Chris Lott
Tijmen Blankevoort
137
43
0
16 Dec 2020
A Survey on Evolutionary Neural Architecture Search
A Survey on Evolutionary Neural Architecture Search
Yuqiao Liu
Y. Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
Kay Chen Tan
112
401
0
25 Aug 2020
Channel Pruning via Automatic Structure Search
Channel Pruning via Automatic Structure Search
Mingbao Lin
Rongrong Ji
Yu-xin Zhang
Baochang Zhang
Yongjian Wu
Yonghong Tian
68
237
0
23 Jan 2020
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
117
498
0
24 Apr 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
88
508
0
09 Apr 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
948
20,214
0
17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
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