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FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking

25 April 2025
Xuan Rao
Bo Zhao
Derong Liu
Cesare Alippi
ArXiv (abs)PDFHTML

Papers citing "FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking"

44 / 44 papers shown
Title
DNAD: Differentiable Neural Architecture Distillation
DNAD: Differentiable Neural Architecture Distillation
Xuan Rao
Bo Zhao
Derong Liu
82
1
0
25 Apr 2025
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
Xuan Rao
Bo Zhao
Xiaosong Yi
81
4
0
11 Nov 2022
$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture
  Search
βββ-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
Peng Ye
Baopu Li
Yikang Li
Tao Chen
Jiayuan Fan
Wanli Ouyang
57
104
0
03 Mar 2022
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
Xiu Su
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
Changshui Zhang
Chang Xu
60
32
0
11 Jun 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
659
41,103
0
22 Oct 2020
DOTS: Decoupling Operation and Topology in Differentiable Architecture
  Search
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search
Yuchao Gu
Li-Juan Wang
Yun-Hai Liu
Yi Yang
Yu-Huan Wu
Shao-Ping Lu
Ming-Ming Cheng
74
48
0
02 Oct 2020
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
Hao Tan
Ran Cheng
Shihua Huang
Cheng He
Changxiao Qiu
Fan Yang
Ping Luo
OOD
50
41
0
14 Sep 2020
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Xiangxiang Chu
Xiaoxing Wang
Bo Zhang
Shun Lu
Xiaolin K. Wei
Junchi Yan
46
167
0
02 Sep 2020
GOLD-NAS: Gradual, One-Level, Differentiable
GOLD-NAS: Gradual, One-Level, Differentiable
Kaifeng Bi
Lingxi Xie
Xin Chen
Longhui Wei
Qi Tian
OODAI4CE
54
42
0
07 Jul 2020
Discretization-Aware Architecture Search
Discretization-Aware Architecture Search
Yunjie Tian
Chang-rui Liu
Lingxi Xie
Jianbin Jiao
QiXiang Ye
36
32
0
07 Jul 2020
Cyclic Differentiable Architecture Search
Cyclic Differentiable Architecture Search
Hongyuan Yu
Houwen Peng
Yan Huang
Jianlong Fu
Hao Du
Liang Wang
Haibin Ling
3DPC
61
48
0
18 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural
  Architecture Search?
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Shen Yan
Yu Zheng
Wei Ao
Xiao Zeng
Mi Zhang
SSLAI4CE
92
102
0
12 Jun 2020
Noisy Differentiable Architecture Search
Noisy Differentiable Architecture Search
Xiangxiang Chu
Bo Zhang
40
43
0
07 May 2020
Designing Network Design Spaces
Designing Network Design Spaces
Ilija Radosavovic
Raj Prateek Kosaraju
Ross B. Girshick
Kaiming He
Piotr Dollár
GNN
102
1,682
0
30 Mar 2020
NAS evaluation is frustratingly hard
NAS evaluation is frustratingly hard
Antoine Yang
P. Esperança
Fabio Maria Carlucci
70
168
0
28 Dec 2019
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
113
94
0
23 Dec 2019
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture
  Search
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
Xiangxiang Chu
Tianbao Zhou
Bo Zhang
Jixiang Li
54
310
0
27 Nov 2019
Exploiting Operation Importance for Differentiable Neural Architecture
  Search
Exploiting Operation Importance for Differentiable Neural Architecture Search
Xukai Xie
Yuan Zhou
S. Kung
46
34
0
24 Nov 2019
Searching for A Robust Neural Architecture in Four GPU Hours
Searching for A Robust Neural Architecture in Four GPU Hours
Xuanyi Dong
Yezhou Yang
120
653
0
10 Oct 2019
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with
  Multiple Seasonal Patterns
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns
Kasun Bandara
Christoph Bergmeir
Hansika Hewamalage
AI4TS
70
139
0
10 Sep 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
Xiaowen Chu
129
1,457
0
02 Aug 2019
XNAS: Neural Architecture Search with Expert Advice
XNAS: Neural Architecture Search with Expert Advice
Niv Nayman
Asaf Noy
T. Ridnik
Itamar Friedman
Rong Jin
Lihi Zelnik-Manor
60
128
0
19 Jun 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang
Shali Jiang
Zhicheng Cui
Roman Garnett
Yixin Chen
GNNBDLCML
103
202
0
24 Apr 2019
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4
  Hours
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
Dimitrios Stamoulis
Ruizhou Ding
Di Wang
Dimitrios Lymberopoulos
B. Priyantha
Jie Liu
Diana Marculescu
60
285
0
05 Apr 2019
Exploring Randomly Wired Neural Networks for Image Recognition
Exploring Randomly Wired Neural Networks for Image Recognition
Saining Xie
Alexander Kirillov
Ross B. Girshick
Kaiming He
66
365
0
02 Apr 2019
Random Search and Reproducibility for Neural Architecture Search
Random Search and Reproducibility for Neural Architecture Search
Liam Li
Ameet Talwalkar
OOD
78
725
0
20 Feb 2019
SNAS: Stochastic Neural Architecture Search
SNAS: Stochastic Neural Architecture Search
Sirui Xie
Hehui Zheng
Chunxiao Liu
Liang Lin
83
936
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
102
1,867
0
02 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
94,891
0
11 Oct 2018
Neural Architecture Optimization
Neural Architecture Optimization
Renqian Luo
Fei Tian
Tao Qin
Enhong Chen
Tie-Yan Liu
3DV
77
654
0
22 Aug 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
179
4,990
0
30 Jul 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
199
4,355
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
113
2,764
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
160
3,031
0
05 Feb 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
19,284
0
13 Jan 2018
Hierarchical Representations for Efficient Architecture Search
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu
Karen Simonyan
Oriol Vinyals
Chrisantha Fernando
Koray Kavukcuoglu
3DV
89
928
0
01 Nov 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
177
5,605
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
141
6,872
0
04 Jul 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
1.2K
20,858
0
17 Apr 2017
Designing Neural Network Architectures using Reinforcement Learning
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker
O. Gupta
Nikhil Naik
Ramesh Raskar
115
1,471
0
07 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDEBDLPINN
1.4K
14,575
0
07 Oct 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
271
8,446
0
23 Nov 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
477
43,658
0
17 Sep 2014
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