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Rethink DARTS Search Space and Renovate a New Benchmark

Rethink DARTS Search Space and Renovate a New Benchmark

12 June 2023
Jiuling Zhang
Zhiming Ding
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "Rethink DARTS Search Space and Renovate a New Benchmark"

50 / 57 papers shown
Title
Robustifying DARTS by Eliminating Information Bypass Leakage via
  Explicit Sparse Regularization
Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization
Jiuling Zhang
Zhiming Ding
AAML
54
3
0
12 Jun 2023
Scaling Laws vs Model Architectures: How does Inductive Bias Influence
  Scaling?
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?
Yi Tay
Mostafa Dehghani
Samira Abnar
Hyung Won Chung
W. Fedus
J. Rao
Sharan Narang
Vinh Q. Tran
Dani Yogatama
Donald Metzler
AI4CE
104
106
0
21 Jul 2022
Efficient Architecture Search for Diverse Tasks
Efficient Architecture Search for Diverse Tasks
Jun Shen
M. Khodak
Ameet Talwalkar
36
32
0
15 Apr 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
Learning Features with Parameter-Free Layers
Learning Features with Parameter-Free Layers
Dongyoon Han
Y. Yoo
Beomyoung Kim
Byeongho Heo
67
8
0
06 Feb 2022
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
Yash Mehta
Colin White
Arber Zela
Arjun Krishnakumar
Guri Zabergja
Shakiba Moradian
Mahmoud Safari
Kaicheng Yu
Frank Hutter
64
43
0
31 Jan 2022
Patches Are All You Need?
Patches Are All You Need?
Asher Trockman
J. Zico Kolter
ViT
260
410
0
24 Jan 2022
Searching the Search Space of Vision Transformer
Searching the Search Space of Vision Transformer
Minghao Chen
Kan Wu
Bolin Ni
Houwen Peng
Bei Liu
Jianlong Fu
Hongyang Chao
Haibin Ling
ViT
76
53
0
29 Nov 2021
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
Bichen Wu
Chaojian Li
Hang Zhang
Xiaoliang Dai
Peizhao Zhang
Matthew Yu
Jialiang Wang
Yingyan Lin
Peter Vajda
ViT
112
24
0
19 Nov 2021
Parameter Prediction for Unseen Deep Architectures
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev
M. Drozdzal
Graham W. Taylor
Adriana Romero Soriano
OOD
95
83
0
25 Oct 2021
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up
  Knowledge Distillation
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation
Chenhe Dong
Guangrun Wang
Hang Xu
Jiefeng Peng
Xiaozhe Ren
Xiaodan Liang
75
28
0
15 Sep 2021
Rethinking Architecture Selection in Differentiable NAS
Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang
Minhao Cheng
Xiangning Chen
Xiaocheng Tang
Cho-Jui Hsieh
71
177
0
10 Aug 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from
  Datasets
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee
Eunyoung Hyung
Sung Ju Hwang
86
43
0
02 Jul 2021
TransNAS-Bench-101: Improving Transferability and Generalizability of
  Cross-Task Neural Architecture Search
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search
Yawen Duan
Xin Chen
Hang Xu
Zewei Chen
Li Xiaodan
Tong Zhang
Zhenguo Li
ViT
75
73
0
25 May 2021
Searching by Generating: Flexible and Efficient One-Shot NAS with
  Architecture Generator
Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
Sian-Yao Huang
W. Chu
51
26
0
12 Mar 2021
AttentiveNAS: Improving Neural Architecture Search via Attentive
  Sampling
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
Dilin Wang
Meng Li
Chengyue Gong
Vikas Chandra
69
103
0
18 Nov 2020
Towards NNGP-guided Neural Architecture Search
Towards NNGP-guided Neural Architecture Search
Daniel S. Park
Jaehoon Lee
Daiyi Peng
Yuan Cao
Jascha Narain Sohl-Dickstein
BDL
71
34
0
11 Nov 2020
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural
  Architecture Search
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
Houwen Peng
Hao Du
Hongyuan Yu
Qi Li
Jing Liao
Jianlong Fu
77
67
0
29 Oct 2020
Revisiting Neural Architecture Search
Revisiting Neural Architecture Search
Anubhav Garg
Amit Kumar Saha
Debo Dutta
15
2
0
12 Oct 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
48
167
0
02 Sep 2020
Evaluating Efficient Performance Estimators of Neural Architectures
Evaluating Efficient Performance Estimators of Neural Architectures
Xuefei Ning
Changcheng Tang
Wenshuo Li
Zixuan Zhou
Shuang Liang
Huazhong Yang
Yu Wang
79
78
0
07 Aug 2020
Neural Architecture Search as Sparse Supernet
Neural Architecture Search as Sparse Supernet
Yongpeng Wu
Aoming Liu
Zhiwu Huang
Siwei Zhang
Luc Van Gool
49
22
0
31 Jul 2020
DrNAS: Dirichlet Neural Architecture Search
DrNAS: Dirichlet Neural Architecture Search
Xiangning Chen
Ruochen Wang
Minhao Cheng
Xiaocheng Tang
Cho-Jui Hsieh
OOD
66
102
0
18 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and
  Solutions
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Xiaojiang Chen
Xin Wang
AI4CE
119
677
0
01 Jun 2020
Geometry-Aware Gradient Algorithms for Neural Architecture Search
Geometry-Aware Gradient Algorithms for Neural Architecture Search
Liam Li
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
71
67
0
16 Apr 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
70
129
0
27 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
84
304
0
24 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real
Chen Liang
David R. So
Quoc V. Le
77
225
0
06 Mar 2020
Stabilizing Differentiable Architecture Search via Perturbation-based
  Regularization
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
Xiangning Chen
Cho-Jui Hsieh
81
204
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
53
21
0
11 Feb 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural
  Architecture Search
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
Arber Zela
Julien N. Siems
Frank Hutter
125
149
0
28 Jan 2020
Deeper Insights into Weight Sharing in Neural Architecture Search
Deeper Insights into Weight Sharing in Neural Architecture Search
Yuge Zhang
Zejun Lin
Junyan Jiang
Quanlu Zhang
Yujing Wang
Hui Xue
Chen Zhang
Yaming Yang
74
50
0
06 Jan 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture
  Search
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search
Xuanyi Dong
Yi Yang
141
714
0
02 Jan 2020
NAS evaluation is frustratingly hard
NAS evaluation is frustratingly hard
Antoine Yang
P. Esperança
Fabio Maria Carlucci
70
168
0
28 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
57
310
0
27 Nov 2019
What Do Compressed Deep Neural Networks Forget?
What Do Compressed Deep Neural Networks Forget?
Sara Hooker
Aaron Courville
Gregory Clark
Yann N. Dauphin
Andrea Frome
87
185
0
13 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
126
654
0
10 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
253
3,502
0
30 Sep 2019
Understanding and Robustifying Differentiable Architecture Search
Understanding and Robustifying Differentiable Architecture Search
Arber Zela
T. Elsken
Tonmoy Saikia
Yassine Marrakchi
Thomas Brox
Frank Hutter
OODAAML
140
373
0
20 Sep 2019
Understanding Architectures Learnt by Cell-based Neural Architecture
  Search
Understanding Architectures Learnt by Cell-based Neural Architecture Search
Yao Shu
Wei Wang
Shaofeng Cai
46
87
0
20 Sep 2019
Best Practices for Scientific Research on Neural Architecture Search
Best Practices for Scientific Research on Neural Architecture Search
Marius Lindauer
Frank Hutter
59
144
0
05 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
136
1,460
0
02 Aug 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture
  Search
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Guo-Jun Qi
Qi Tian
H. Xiong
88
609
0
12 Jul 2019
Discovering Neural Wirings
Discovering Neural Wirings
Mitchell Wortsman
Ali Farhadi
Mohammad Rastegari
AI4CE
109
121
0
03 Jun 2019
On Network Design Spaces for Visual Recognition
On Network Design Spaces for Visual Recognition
Ilija Radosavovic
Justin Johnson
Saining Xie
Wan-Yen Lo
Piotr Dollár
83
135
0
30 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
622
4,802
0
13 May 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
NAS-Bench-101: Towards Reproducible Neural Architecture Search
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying
Aaron Klein
Esteban Real
Eric Christiansen
Kevin Patrick Murphy
Frank Hutter
83
684
0
25 Feb 2019
Evaluating the Search Phase of Neural Architecture Search
Evaluating the Search Phase of Neural Architecture Search
Kaicheng Yu
C. Sciuto
Martin Jaggi
C. Musat
Mathieu Salzmann
68
343
0
21 Feb 2019
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