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A Comprehensive Survey of Neural Architecture Search: Challenges and
  Solutions
v1v2v3 (latest)

A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions

ACM Computing Surveys (ACM CSUR), 2020
1 June 2020
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Xiaojiang Chen
Xin Wang
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions"

50 / 240 papers shown
Title
Generalization Properties of NAS under Activation and Skip Connection
  Search
Generalization Properties of NAS under Activation and Skip Connection SearchNeural Information Processing Systems (NeurIPS), 2022
Zhenyu Zhu
Fanghui Liu
Grigorios G. Chrysos
Volkan Cevher
AI4CE
286
20
0
15 Sep 2022
Survey on Evolutionary Deep Learning: Principles, Algorithms,
  Applications and Open Issues
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open IssuesACM Computing Surveys (ACM CSUR), 2022
Nan Li
Lianbo Ma
Guo-Ding Yu
Bing Xue
Mengjie Zhang
Yaochu Jin
165
97
0
23 Aug 2022
Neural Architecture Search as Multiobjective Optimization Benchmarks:
  Problem Formulation and Performance Assessment
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance AssessmentIEEE Transactions on Evolutionary Computation (TEVC), 2022
Zhichao Lu
Ran Cheng
Yaochu Jin
Kay Chen Tan
Kalyanmoy Deb
164
70
0
08 Aug 2022
HPO: We won't get fooled again
HPO: We won't get fooled again
Kalifou René Traoré
Andrés Camero
Xiao Xiang Zhu
102
0
0
04 Aug 2022
Auto Machine Learning for Medical Image Analysis by Unifying the Search
  on Data Augmentation and Neural Architecture
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture
Jianwei Zhang
Dong Li
Lituan Wang
Lei Zhang
143
2
0
21 Jul 2022
Single Model Uncertainty Estimation via Stochastic Data Centering
Single Model Uncertainty Estimation via Stochastic Data CenteringNeural Information Processing Systems (NeurIPS), 2022
Jayaraman J. Thiagarajan
Rushil Anirudh
V. Narayanaswamy
P. Bremer
UQCVOOD
154
31
0
14 Jul 2022
DASS: Differentiable Architecture Search for Sparse neural networks
DASS: Differentiable Architecture Search for Sparse neural networksACM Transactions on Embedded Computing Systems (TECS), 2022
H. Mousavi
Mohammad Loni
Mina Alibeigi
Masoud Daneshtalab
235
16
0
14 Jul 2022
Architecture Augmentation for Performance Predictor Based on Graph
  Isomorphism
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism
Xiangning Xie
Yuqiao Liu
Yanan Sun
Mengjie Zhang
Kay Chen Tan
GNNAI4CE
177
2
0
03 Jul 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A ReviewIEEE Sensors Journal (IEEE Sens. J.), 2022
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
435
168
0
29 May 2022
Incremental Learning with Differentiable Architecture and Forgetting
  Search
Incremental Learning with Differentiable Architecture and Forgetting SearchIEEE International Joint Conference on Neural Network (IJCNN), 2022
James Smith
Zachary Seymour
Han-Pang Chiu
OODCLLAI4CE
155
4
0
19 May 2022
A Hardware-Aware Framework for Accelerating Neural Architecture Search
  Across Modalities
A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities
Daniel Cummings
Anthony Sarah
S. N. Sridhar
Maciej Szankin
J. P. Muñoz
Sairam Sundaresan
214
9
0
19 May 2022
Warm-starting DARTS using meta-learning
Warm-starting DARTS using meta-learning
Matej Grobelnik
Joaquin Vanschoren
AI4CE
118
1
0
12 May 2022
Birds of A Feather Flock Together: Category-Divergence Guidance for
  Domain Adaptive Segmentation
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive SegmentationIEEE Transactions on Image Processing (IEEE TIP), 2022
Bo Yuan
Danpei Zhao
Shuai Shao
Zehuan Yuan
Changhu Wang
217
17
0
05 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations
A Comprehensive Survey on Automated Machine Learning for Recommendations
Bo Chen
Xiangyu Zhao
Yejing Wang
Wenqi Fan
Huifeng Guo
Ruiming Tang
AI4TS
300
13
0
04 Apr 2022
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software
  Co-Design of Neural Accelerators
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators
Bingqian Lu
Zheyu Yan
Yiyu Shi
Shaolei Ren
179
2
0
25 Mar 2022
An Intelligent End-to-End Neural Architecture Search Framework for
  Electricity Forecasting Model Development
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model DevelopmentINFORMS journal on computing (IJOC), 2022
Jin Yang
Guangxin Jiang
Ying-Fan Huang
Ying Chen
AI4TS
105
0
0
25 Mar 2022
Hardware Approximate Techniques for Deep Neural Network Accelerators: A
  Survey
Hardware Approximate Techniques for Deep Neural Network Accelerators: A SurveyACM Computing Surveys (ACM CSUR), 2022
Giorgos Armeniakos
Georgios Zervakis
Dimitrios Soudris
J. Henkel
481
121
0
16 Mar 2022
Less is More: Proxy Datasets in NAS approaches
Less is More: Proxy Datasets in NAS approaches
Brian B. Moser
Federico Raue
Jörn Hees
Andreas Dengel
DD
163
14
0
14 Mar 2022
Towards Less Constrained Macro-Neural Architecture Search
Towards Less Constrained Macro-Neural Architecture Search
Vasco Lopes
L. A. Alexandre
206
5
0
10 Mar 2022
Accelerating Neural Architecture Exploration Across Modalities Using
  Genetic Algorithms
Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms
Daniel Cummings
S. N. Sridhar
Anthony Sarah
Maciej Szankin
AI4CE
130
0
0
25 Feb 2022
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest FiltersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Mingbao Lin
Liujuan Cao
Yuxin Zhang
Ling Shao
Chia-Wen Lin
Rongrong Ji
126
66
0
15 Feb 2022
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Jaeyeon Ahn
Taehyeon Kim
Seyoung Yun
165
0
0
02 Feb 2022
FRAMED: An AutoML Approach for Structural Performance Prediction of
  Bicycle Frames
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames
Lyle Regenwetter
Colin Weaver
Faez Ahmed
AI4CE
239
24
0
25 Jan 2022
DARTS without a Validation Set: Optimizing the Marginal Likelihood
DARTS without a Validation Set: Optimizing the Marginal Likelihood
M. Fil
Binxin Ru
Clare Lyle
Y. Gal
112
2
0
24 Dec 2021
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion
  Batteries
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion BatteriesSocial Science Research Network (SSRN), 2021
H. Tu
S. Moura
Yebin Wang
H. Fang
154
124
0
24 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
360
30
0
16 Dec 2021
Evaluating Generic Auto-ML Tools for Computational Pathology
Evaluating Generic Auto-ML Tools for Computational Pathology
L. O. Schwen
D. Schacherer
C. Geißler
A. Homeyer
92
14
0
07 Dec 2021
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural
  Network Inference
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network InferenceSymposium on Field Programmable Gate Arrays (FPGA), 2021
Erwei Wang
James J. Davis
G. Stavrou
P. Cheung
George A. Constantinides
Mohamed S. Abdelfattah
MQ
177
13
0
04 Dec 2021
TinyDefectNet: Highly Compact Deep Neural Network Architecture for
  High-Throughput Manufacturing Visual Quality Inspection
TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection
M. Shafiee
M. Famouri
Gautam Bathla
Francis Li
Alexander Wong
118
6
0
29 Nov 2021
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning
  Rule
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RuleComputer Vision and Pattern Recognition (CVPR), 2021
Miao Zhang
Jilin Hu
Steven W. Su
Shirui Pan
Xiaojun Chang
B. Yang
Gholamreza Haffari
OOD
255
19
0
25 Nov 2021
Ultra-Low Power Keyword Spotting at the Edge
Ultra-Low Power Keyword Spotting at the Edge
Mehmet Gorkem Ulkar
O. E. Okman
60
16
0
09 Nov 2021
Fitness Landscape Footprint: A Framework to Compare Neural Architecture
  Search Problems
Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems
Kalifou René Traoré
Andrés Camero
Xiao Xiang Zhu
169
8
0
02 Nov 2021
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
One Proxy Device Is Enough for Hardware-Aware Neural Architecture SearchProceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2021
Bingqian Lu
Jianyi Yang
Weiwen Jiang
Yiyu Shi
Shaolei Ren
261
25
0
01 Nov 2021
Sustainable AI: Environmental Implications, Challenges and Opportunities
Sustainable AI: Environmental Implications, Challenges and OpportunitiesConference on Machine Learning and Systems (MLSys), 2021
Carole-Jean Wu
Ramya Raghavendra
Udit Gupta
Bilge Acun
Newsha Ardalani
...
Maximilian Balandat
Joe Spisak
R. Jain
Michael G. Rabbat
K. Hazelwood
339
520
0
30 Oct 2021
Active Learning for Deep Visual Tracking
Active Learning for Deep Visual Tracking
Di Yuan
Xiaojun Chang
Yi Yang
Qiao Liu
Dehua Wang
Zhenyu He
177
123
0
17 Oct 2021
Reliable Shot Identification for Complex Event Detection via
  Visual-Semantic Embedding
Reliable Shot Identification for Complex Event Detection via Visual-Semantic EmbeddingComputer Vision and Image Understanding (CVIU), 2021
Minnan Luo
Xiaojun Chang
Chen Gong
85
9
0
12 Oct 2021
Towards Explainable Real Estate Valuation via Evolutionary Algorithms
Towards Explainable Real Estate Valuation via Evolutionary AlgorithmsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2021
Sebastian Angrick
Ben Bals
Niko Hastrich
M. Kleissl
Jonas Schmidt
Vanja Doskoc
Maximilian Katzmann
Louise Molitor
Tobias Friedrich
ELM
208
2
0
11 Oct 2021
Inexact bilevel stochastic gradient methods for constrained and
  unconstrained lower-level problems
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problems
Tommaso Giovannelli
G. Kent
Luis Nunes Vicente
237
14
0
01 Oct 2021
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and
  Transformers
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers
Changlin Li
Guangrun Wang
Bing Wang
Xiaodan Liang
Zhihui Li
Xiaojun Chang
181
9
0
21 Sep 2021
Juvenile state hypothesis: What we can learn from lottery ticket
  hypothesis researches?
Juvenile state hypothesis: What we can learn from lottery ticket hypothesis researches?
Di Zhang
86
1
0
08 Sep 2021
ISyNet: Convolutional Neural Networks design for AI accelerator
ISyNet: Convolutional Neural Networks design for AI accelerator
Alexey Letunovskiy
Vladimir Korviakov
V. Polovnikov
Anastasiia Kargapoltseva
I. Mazurenko
Yepan Xiong
208
1
0
04 Sep 2021
Quantized Convolutional Neural Networks Through the Lens of Partial
  Differential Equations
Quantized Convolutional Neural Networks Through the Lens of Partial Differential EquationsResearch in the Mathematical Sciences (Res. Math. Sci.), 2021
Ido Ben-Yair
Gil Ben Shalom
Moshe Eliasof
Eran Treister
MQ
229
5
0
31 Aug 2021
D-DARTS: Distributed Differentiable Architecture Search
D-DARTS: Distributed Differentiable Architecture Search
Alexandre Heuillet
Hedi Tabia
Hichem Arioui
K. Youcef-Toumi
173
1
0
20 Aug 2021
Evolutionary Algorithms in Approximate Computing: A Survey
Evolutionary Algorithms in Approximate Computing: A Survey
Lukás Sekanina
121
5
0
16 Aug 2021
Modality specific U-Net variants for biomedical image segmentation: A
  survey
Modality specific U-Net variants for biomedical image segmentation: A surveyArtificial Intelligence Review (AIR), 2021
Narinder Singh Punn
Sonali Agarwal
SSeg
311
187
0
09 Jul 2021
Differentiable Architecture Pruning for Transfer Learning
Differentiable Architecture Pruning for Transfer Learning
Nicolo Colombo
Yang Gao
136
2
0
07 Jul 2021
Integrating Large Circular Kernels into CNNs through Neural Architecture
  Search
Integrating Large Circular Kernels into CNNs through Neural Architecture Search
Kun He
Chao Li
Yixiao Yang
Gao Huang
John E. Hopcroft
233
12
0
06 Jul 2021
LV-BERT: Exploiting Layer Variety for BERT
LV-BERT: Exploiting Layer Variety for BERTFindings (Findings), 2021
Weihao Yu
Zihang Jiang
Fei Chen
Qibin Hou
Jiashi Feng
MQ
123
0
0
22 Jun 2021
Connection Sensitivity Matters for Training-free DARTS: From
  Architecture-Level Scoring to Operation-Level Sensitivity Analysis
Connection Sensitivity Matters for Training-free DARTS: From Architecture-Level Scoring to Operation-Level Sensitivity Analysis
Miao Zhang
Wei Huang
Li Wang
161
1
0
22 Jun 2021
iDARTS: Differentiable Architecture Search with Stochastic Implicit
  Gradients
iDARTS: Differentiable Architecture Search with Stochastic Implicit GradientsInternational Conference on Machine Learning (ICML), 2021
Miao Zhang
Steven W. Su
Shirui Pan
Xiaojun Chang
Ehsan Abbasnejad
Reza Haffari
223
77
0
21 Jun 2021
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