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Progressive Differentiable Architecture Search: Bridging the Depth Gap
  between Search and Evaluation

Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation

29 April 2019
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
    AI4TS
    MQ
ArXivPDFHTML

Papers citing "Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation"

34 / 34 papers shown
Title
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection
Tomomasa Yamasaki
Zhehui Wang
Yaoyu Zhang
Niangjun Chen
Bo Wang
140
0
0
26 Mar 2025
EM-DARTS: Hierarchical Differentiable Architecture Search for Eye Movement Recognition
EM-DARTS: Hierarchical Differentiable Architecture Search for Eye Movement Recognition
Huafeng Qin
Hongyu Zhu
Xin Jin
Xin Yu
M. El-Yacoubi
Xinbo Gao
71
0
0
22 Sep 2024
DrNAS: Dirichlet Neural Architecture Search
DrNAS: Dirichlet Neural Architecture Search
Xiangning Chen
Ruochen Wang
Minhao Cheng
Xiaocheng Tang
Cho-Jui Hsieh
OOD
49
100
0
18 Jun 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation
Multi-fidelity Neural Architecture Search with Knowledge Distillation
I. Trofimov
Nikita Klyuchnikov
Mikhail Salnikov
Alexander N. Filippov
Evgeny Burnaev
53
15
0
15 Jun 2020
Searching for A Robust Neural Architecture in Four GPU Hours
Searching for A Robust Neural Architecture in Four GPU Hours
Xuanyi Dong
Yezhou Yang
102
652
0
10 Oct 2019
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture
  Search
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
Xiangxiang Chu
Bo Zhang
Hailong Ma
Ruijun Xu
Qingyuan Li
SupR
55
248
0
22 Jan 2019
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image
  Segmentation
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Chenxi Liu
Liang-Chieh Chen
Florian Schroff
Hartwig Adam
Wei Hua
Alan Yuille
Li Fei-Fei
SSeg
100
976
0
10 Jan 2019
SNAS: Stochastic Neural Architecture Search
SNAS: Stochastic Neural Architecture Search
Sirui Xie
Hehui Zheng
Chunxiao Liu
Liang Lin
70
932
0
24 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
86
1,865
0
02 Dec 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
107
2,995
0
31 Jul 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
143
4,957
0
30 Jul 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
181
4,326
0
24 Jun 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
86
2,761
0
09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
140
3,021
0
05 Feb 2018
Progressive Neural Architecture Search
Progressive Neural Architecture Search
Chenxi Liu
Barret Zoph
Maxim Neumann
Jonathon Shlens
Wei Hua
Li Li
Li Fei-Fei
Alan Yuille
Jonathan Huang
Kevin Patrick Murphy
83
1,986
0
02 Dec 2017
Hierarchical Representations for Efficient Architecture Search
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu
Karen Simonyan
Oriol Vinyals
Chrisantha Fernando
Koray Kavukcuoglu
3DV
79
925
0
01 Nov 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
99
3,739
0
15 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
157
5,577
0
21 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
127
6,830
0
04 Jul 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
102
3,666
0
08 Jun 2017
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
1.1K
20,747
0
17 Apr 2017
A Genetic Programming Approach to Designing Convolutional Neural Network
  Architectures
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
Masanori Suganuma
Shinichi Shirakawa
T. Nagao
93
589
0
03 Apr 2017
Genetic CNN
Genetic CNN
Lingxi Xie
Alan Yuille
3DV
115
840
0
04 Mar 2017
Designing Neural Network Architectures using Reinforcement Learning
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker
O. Gupta
Nikhil Naik
Ramesh Raskar
93
1,466
0
07 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
408
5,362
0
05 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
675
36,599
0
25 Aug 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
122
937
0
24 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
575
27,231
0
02 Dec 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
114
1,675
0
22 Jul 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
376
43,154
0
11 Feb 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
361
43,511
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.1K
99,991
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.2K
39,383
0
01 Sep 2014
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