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Efficient Neural Architecture Search via Parameter Sharing
v1v2 (latest)

Efficient Neural Architecture Search via Parameter Sharing

9 February 2018
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
ArXiv (abs)PDFHTML

Papers citing "Efficient Neural Architecture Search via Parameter Sharing"

50 / 1,388 papers shown
Title
Neural Architecture Generator Optimization
Neural Architecture Generator Optimization
Binxin Ru
P. Esperança
Fabio Maria Carlucci
86
40
0
03 Apr 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and
  Prospects
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li
Wenjie Yang
Shouheng Peng
Fan Liu
HAI3DV
162
2,794
0
01 Apr 2020
MTL-NAS: Task-Agnostic Neural Architecture Search towards
  General-Purpose Multi-Task Learning
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Yuan Gao
Haoping Bai
Zequn Jie
Jiayi Ma
Kui Jia
Wei Liu
93
95
0
31 Mar 2020
Designing Network Design Spaces
Designing Network Design Spaces
Ilija Radosavovic
Raj Prateek Kosaraju
Ross B. Girshick
Kaiming He
Piotr Dollár
GNN
192
1,707
0
30 Mar 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
89
27
0
29 Mar 2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
Chen Wei
Chuang Niu
Yiping Tang
Yue Wang
Haihong Hu
Jimin Liang
65
7
0
28 Mar 2020
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
Qihang Yu
Yingwei Li
Jieru Mei
Yuyin Zhou
Alan Yuille
3DPC
66
3
0
28 Mar 2020
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search
Xiyang Dai
Dongdong Chen
Mengchen Liu
Yinpeng Chen
Lu Yuan
68
21
0
27 Mar 2020
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep
  Learning
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning
Sourya Dey
Saikrishna C. Kanala
K. Chugg
Peter A. Beerel
20
4
0
27 Mar 2020
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level
  Reformulation
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
Chaoyang He
Haishan Ye
Li Shen
Tong Zhang
82
129
0
27 Mar 2020
Are Labels Necessary for Neural Architecture Search?
Are Labels Necessary for Neural Architecture Search?
Chenxi Liu
Piotr Dollár
Kaiming He
Ross B. Girshick
Alan Yuille
Saining Xie
88
75
0
26 Mar 2020
DCNAS: Densely Connected Neural Architecture Search for Semantic Image
  Segmentation
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation
Xiong Zhang
Hongmin Xu
Hong Mo
Jianchao Tan
Cheng Yang
Lei Wang
Wenqi Ren
AI4CE
72
93
0
26 Mar 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OODAI4CE
182
123
0
26 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation
Circumventing Outliers of AutoAugment with Knowledge Distillation
Longhui Wei
Anxiang Xiao
Lingxi Xie
Xin Chen
Xiaopeng Zhang
Qi Tian
80
62
0
25 Mar 2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage
  Models
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
Jiahui Yu
Pengchong Jin
Hanxiao Liu
Gabriel Bender
Pieter-Jan Kindermans
Mingxing Tan
Thomas Huang
Xiaodan Song
Ruoming Pang
Quoc V. Le
118
304
0
24 Mar 2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning
PADS: Policy-Adapted Sampling for Visual Similarity Learning
Karsten Roth
Timo Milbich
Bjorn Ommer
132
49
0
24 Mar 2020
Learning Dynamic Routing for Semantic Segmentation
Learning Dynamic Routing for Semantic Segmentation
Yanwei Li
Lin Song
Yukang Chen
Zeming Li
Xinming Zhang
Xingang Wang
Jian Sun
SSeg
144
166
0
23 Mar 2020
Steepest Descent Neural Architecture Optimization: Escaping Local
  Optimum with Signed Neural Splitting
Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting
Lemeng Wu
Mao Ye
Qi Lei
Jason D. Lee
Qiang Liu
88
15
0
23 Mar 2020
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of
  Channels
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels
Zan Shen
Jiang Qian
Bojin Zhuang
Shaojun Wang
Jing Xiao
84
5
0
22 Mar 2020
Review of data analysis in vision inspection of power lines with an
  in-depth discussion of deep learning technology
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology
Xinyu Liu
Xiren Miao
Hao Jiang
Jia Chen
57
12
0
22 Mar 2020
FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture
FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture
Xuefei Ning
Guangjun Ge
Wenshuo Li
Zhenhua Zhu
Yin Zheng
Xiaoming Chen
Zhen Gao
Yu Wang
Huazhong Yang
90
24
0
20 Mar 2020
Multilayer Dense Connections for Hierarchical Concept Classification
Multilayer Dense Connections for Hierarchical Concept Classification
T. Parag
Hongcheng Wang
31
1
0
19 Mar 2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network
Efficient Bitwidth Search for Practical Mixed Precision Neural Network
Yuhang Li
Wei Wang
Haoli Bai
Ruihao Gong
Xin Dong
F. Yu
MQ
56
21
0
17 Mar 2020
AutoSTR: Efficient Backbone Search for Scene Text Recognition
AutoSTR: Efficient Backbone Search for Scene Text Recognition
Hui Zhang
Quanming Yao
Mingkun Yang
Yongchao Xu
X. Bai
68
24
0
14 Mar 2020
Meta-learning curiosity algorithms
Meta-learning curiosity algorithms
Ferran Alet
Martin Schneider
Tomas Lozano-Perez
L. Kaelbling
99
64
0
11 Mar 2020
Hierarchical Neural Architecture Search for Single Image
  Super-Resolution
Hierarchical Neural Architecture Search for Single Image Super-Resolution
Yong Guo
Yongsheng Luo
Zhenhao He
Jin Huang
Jian Chen
SupR
135
51
0
10 Mar 2020
How to Train Your Super-Net: An Analysis of Training Heuristics in
  Weight-Sharing NAS
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS
Kaicheng Yu
René Ranftl
Mathieu Salzmann
80
35
0
09 Mar 2020
Searching Central Difference Convolutional Networks for Face
  Anti-Spoofing
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
Zitong Yu
Chenxu Zhao
Zezheng Wang
Yunxiao Qin
Z. Su
Xiaobai Li
Feng Zhou
Guoying Zhao
CVBM
168
421
0
09 Mar 2020
Sampled Training and Node Inheritance for Fast Evolutionary Neural
  Architecture Search
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
Haoyu Zhang
Yaochu Jin
Ran Cheng
K. Hao
69
9
0
07 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search
Real-time Federated Evolutionary Neural Architecture Search
Hangyu Zhu
Yaochu Jin
FedML
205
73
0
04 Mar 2020
A Survey on Deep Hashing Methods
A Survey on Deep Hashing Methods
Xiao Luo
Haixin Wang
Huasong Zhong
C. L. Philip Chen
Minghua Deng
Jianqiang Huang
Xiansheng Hua
156
182
0
04 Mar 2020
BATS: Binary ArchitecTure Search
BATS: Binary ArchitecTure Search
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
99
68
0
03 Mar 2020
ADWPNAS: Architecture-Driven Weight Prediction for Neural Architecture
  Search
ADWPNAS: Architecture-Driven Weight Prediction for Neural Architecture Search
Xu Zhang
Chenjun Zhou
Bo Gu
79
1
0
03 Mar 2020
Energy-efficient and Robust Cumulative Training with Net2Net
  Transformation
Energy-efficient and Robust Cumulative Training with Net2Net Transformation
Aosong Feng
Priyadarshini Panda
95
1
0
02 Mar 2020
RandomNet: Towards Fully Automatic Neural Architecture Design for
  Multimodal Learning
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning
S. Alletto
Shenyang Huang
Vincent François-Lavet
Yohei Nakata
Guillaume Rabusseau
86
4
0
02 Mar 2020
NAS-Count: Counting-by-Density with Neural Architecture Search
NAS-Count: Counting-by-Density with Neural Architecture Search
Yutao Hu
Xiaolong Jiang
Xuhui Liu
Baochang Zhang
Jungong Han
Xianbin Cao
David Doermann
80
90
0
29 Feb 2020
XSepConv: Extremely Separated Convolution
XSepConv: Extremely Separated Convolution
Jiarong Chen
Zongqing Lu
Jing-Hao Xue
Q. Liao
MDE
56
9
0
27 Feb 2020
Semi-Supervised Neural Architecture Search
Semi-Supervised Neural Architecture Search
Renqian Luo
Xu Tan
Rui Wang
Tao Qin
Enhong Chen
Tie-Yan Liu
99
90
0
24 Feb 2020
Neural Architecture Search for Compressed Sensing Magnetic Resonance
  Image Reconstruction
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction
Jiangpeng Yan
Shuo Chen
Yongbing Zhang
Xiu Li
53
24
0
22 Feb 2020
Learning to Continually Learn
Learning to Continually Learn
Shawn L. E. Beaulieu
Lapo Frati
Thomas Miconi
Joel Lehman
Kenneth O. Stanley
Jeff Clune
Nick Cheney
KELMCLL
105
148
0
21 Feb 2020
DSNAS: Direct Neural Architecture Search without Parameter Retraining
DSNAS: Direct Neural Architecture Search without Parameter Retraining
Shou-Yong Hu
Sirui Xie
Hehui Zheng
Chunxiao Liu
Jianping Shi
Xunying Liu
Dahua Lin
67
133
0
21 Feb 2020
Neural Architecture Search For Fault Diagnosis
Neural Architecture Search For Fault Diagnosis
Xudong Li
Yang Hu
Jianhua Zheng
Mingtao Li
AI4CE
36
6
0
19 Feb 2020
Learning Architectures for Binary Networks
Learning Architectures for Binary Networks
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
91
44
0
17 Feb 2020
Federated Neural Architecture Search
Federated Neural Architecture Search
Jinliang Yuan
Mengwei Xu
Yuxin Zhao
Kaigui Bian
Gang Huang
Xuanzhe Liu
Shangguang Wang
FedML
110
35
0
15 Feb 2020
PHOTONAI -- A Python API for Rapid Machine Learning Model Development
PHOTONAI -- A Python API for Rapid Machine Learning Model Development
Ramona Leenings
N. Winter
Lucas Plagwitz
V. Holstein
J. Ernsting
...
N. Opel
Benjamin Risse
Xiaoyi Jiang
U. Dannlowski
Tim Hahn
LM&MA
76
28
0
13 Feb 2020
Stabilizing Differentiable Architecture Search via Perturbation-based
  Regularization
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
Xiangning Chen
Cho-Jui Hsieh
104
207
0
12 Feb 2020
Machine Learning in Python: Main developments and technology trends in
  data science, machine learning, and artificial intelligence
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
113
505
0
12 Feb 2020
To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
Aloïs Pourchot
Alexis Ducarouge
Olivier Sigaud
63
21
0
11 Feb 2020
Regularized Evolutionary Population-Based Training
Regularized Evolutionary Population-Based Training
J. Liang
Santiago Gonzalez
Hormoz Shahrzad
Risto Miikkulainen
60
9
0
11 Feb 2020
Co-Exploration of Neural Architectures and Heterogeneous ASIC
  Accelerator Designs Targeting Multiple Tasks
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks
Lei Yang
Zheyu Yan
Meng Li
Hyoukjun Kwon
Liangzhen Lai
T. Krishna
Vikas Chandra
Weiwen Jiang
Yiyu Shi
93
116
0
10 Feb 2020
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