Dong, H.,
Zou, B.,
Zhang, L.,
Zhang, S.,
Automatic Design of CNNs via Differentiable Neural Architecture
Search for PolSAR Image Classification,
GeoRS(58), No. 9, September 2020, pp. 6362-6375.
IEEE DOI
2008
Personal digital assistants,
Deep learning, Search problems, Neural networks,
polarimetric synthetic aperture radar (PolSAR) classification
BibRef
Zhang, X.B.[Xin-Bang],
Chang, J.L.[Jian-Long],
Guo, Y.W.[Yi-Wen],
Meng, G.F.[Gao-Feng],
Xiang, S.M.[Shi-Ming],
Lin, Z.C.[Zhou-Chen],
Pan, C.H.[Chun-Hong],
DATA: Differentiable ArchiTecture Approximation With Distribution
Guided Sampling,
PAMI(43), No. 9, September 2021, pp. 2905-2920.
IEEE DOI
2108
Search problems, Optimization,
Task analysis, Bridges, Binary codes, Estimation,
distribution guided sampling
BibRef
Chen, X.[Xin],
Xie, L.X.[Ling-Xi],
Wu, J.[Jun],
Tian, Q.[Qi],
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild,
IJCV(129), No. 3, March 2021, pp. 638-655.
Springer DOI
2103
Neural Architecture Search.
BibRef
Zhang, Z.[Zhen],
Liu, S.H.[Shang-Hao],
Zhang, Y.[Yang],
Chen, W.B.[Wen-Bo],
RS-DARTS: A Convolutional Neural Architecture Search for Remote
Sensing Image Scene Classification,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Guo, Q.B.[Qing-Bei],
Wu, X.J.[Xiao-Jun],
Kittler, J.V.[Josef V.],
Feng, Z.Q.[Zhi-Quan],
Differentiable neural architecture learning for efficient neural
networks,
PR(126), 2022, pp. 108448.
Elsevier DOI
2204
Deep neural network, Convolutional neural network,
Neural architecture search, Automated machine learning
BibRef
Tian, Y.S.[Yue-Song],
Shen, L.[Li],
Shen, L.[Li],
Su, G.[Guinan],
Li, Z.F.[Zhi-Feng],
Liu, W.[Wei],
AlphaGAN: Fully Differentiable Architecture Search for Generative
Adversarial Networks,
PAMI(44), No. 10, October 2022, pp. 6752-6766.
IEEE DOI
2209
Generators, Search problems,
Generative adversarial networks, Training, Nash equilibrium,
generative models
BibRef
Ren, X.H.[Xu-Hong],
Chen, J.[Jianlang],
Juefei-Xu, F.[Felix],
Xue, W.L.[Wan-Li],
Guo, Q.[Qing],
Ma, L.[Lei],
Zhao, J.J.[Jian-Jun],
Chen, S.Y.[Sheng-Yong],
DARTSRepair: Core-failure-set guided DARTS for network robustness to
common corruptions,
PR(131), 2022, pp. 108864.
Elsevier DOI
2208
Network architecture search, Core-failure-set selection,
Robustness enhancement, Differentiable architecture search
BibRef
Wang, W.[Wenna],
Zhang, X.W.[Xiu-Wei],
Cui, H.F.[Heng-Fei],
Yin, H.L.[Han-Lin],
Zhang, Y.N.[Yan-Nnig],
FP-DARTS: Fast parallel differentiable neural architecture search for
image classification,
PR(136), 2023, pp. 109193.
Elsevier DOI
2301
Neural architecture search, Computing overheads,
Operator sub-sets, Two-parallel-path, Binary gate, Sigmoid function
BibRef
Yu, H.Y.[Hong-Yuan],
Peng, H.[Houwen],
Huang, Y.[Yan],
Fu, J.L.[Jian-Long],
Du, H.[Hao],
Wang, L.[Liang],
Ling, H.B.[Hai-Bin],
Cyclic Differentiable Architecture Search,
PAMI(45), No. 1, January 2023, pp. 211-228.
IEEE DOI
2212
Optimization, Search problems,
Task analysis, Training, Microprocessors, Object detection, Cyclic,
unified framework
BibRef
Huang, H.[Han],
Shen, L.[Li],
He, C.Y.[Chao-Yang],
Dong, W.S.[Wei-Sheng],
Liu, W.[Wei],
Differentiable Neural Architecture Search for Extremely Lightweight
Image Super-Resolution,
CirSysVideo(33), No. 6, June 2023, pp. 2672-2682.
IEEE DOI
2306
Task analysis, Convolution, Superresolution,
Computational modeling, Search problems, Reinforcement learning,
lightweight model design
BibRef
Heuillet, A.[Alexandre],
Tabia, H.[Hedi],
Arioui, H.[Hichem],
Youcef-Toumi, K.[Kamal],
D-DARTS: Distributed Differentiable Architecture Search,
PRL(176), 2023, pp. 42-48.
Elsevier DOI
2312
Neural architecture search,
Differentiable architecture search, Deep learning, Computer vision
BibRef
Ma, B.T.[Ben-Teng],
Zhang, Y.N.[Yan-Ning],
Xia, Y.[Yong],
Momentum recursive DARTS,
PR(156), 2024, pp. 110710.
Elsevier DOI
2408
Neural architecture search, Gradient estimation, Image recognition
BibRef
Wen, W.[Wei],
Liu, H.X.[Han-Xiao],
Chen, Y.R.[Yi-Ran],
Li, H.[Hai],
Bender, G.[Gabriel],
Kindermans, P.J.[Pieter-Jan],
Neural Predictor for Neural Architecture Search,
ECCV20(XXIX: 660-676).
Springer DOI
2010
BibRef
Zhang, B.[Buang],
Wu, X.[Xinle],
Miao, H.[Hao],
Guo, C.[Chenjuan],
Yang, B.[Bin],
Dependency-aware Differentiable Neural Architecture Search,
ECCV24(LV: 219-236).
Springer DOI
2412
BibRef
An, T.[Taegun],
Joo, C.H.[Chang-Hee],
CycleGANAS: Differentiable Neural Architecture Search for CycleGAN,
NAS24(1655-1664)
IEEE DOI Code:
WWW Link.
2410
Dimensionality reduction, Search methods, Stacking,
Neural networks,
CycleGAN
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Subbotko, K.[Konstanty],
Jablonski, W.[Wojciech],
Bilinski, P.[Piotr],
The devil is in discretization discrepancy. Robustifying
Differentiable NAS with Single-Stage Searching Protocol,
NAS24(1665-1674)
IEEE DOI
2410
Training, Protocols, Neural networks, DNA, Graphics processing units,
Neural Architecture Search, NAS,
DARTS
BibRef
Li, Y.H.[Yun-Hong],
Li, S.[Shuai],
Yu, Z.H.[Zhen-Hua],
DARTS-PAP: Differentiable Neural Architecture Search by Polarization of
Instance Complexity Weighted Architecture Parameters,
MMMod23(II: 277-288).
Springer DOI
2304
BibRef
Cai, H.[He],
Zhang, Z.[Zhaokai],
Feng, T.P.[Tian-Peng],
Guo, Y.D.[Yan-Dong],
DARTS-PD: Differentiable Architecture Search with Path-Wise Weight
Sharing Derivation,
ICIP22(1256-1260)
IEEE DOI
2211
Search methods, Artificial neural networks, Optimization,
Neural Architecture Search, path-wise weight sharing derivation
BibRef
Soro, B.[Bedionita],
Song, C.[Chong],
Enhancing Differentiable Architecture Search: A Study on Small Number
of Cell Blocks in the Search Stage, and Important Branches-based
Cells Selection,
REDLCV23(1245-1253)
IEEE DOI
2401
BibRef
Zhang, X.Y.[Xuan-Yang],
Li, Y.G.[Yong-Gang],
Zhang, X.Y.[Xiang-Yu],
Wang, Y.T.[Yong-Tao],
Sun, J.[Jian],
Differentiable Architecture Search with Random Features,
CVPR23(16060-16069)
IEEE DOI
2309
BibRef
Yüzügüler, A.C.[Ahmet Caner],
Dimitriadis, N.[Nikolaos],
Frossard, P.[Pascal],
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture
Search,
ECCV22(XII:173-190).
Springer DOI
2211
BibRef
Zhang, M.[Miao],
Pan, S.R.[Shi-Rui],
Chang, X.J.[Xiao-Jun],
Su, S.[Steven],
Hu, J.L.[Ji-Lin],
Haffari, G.[Gholamreza],
Yang, B.[Bin],
BaLeNAS:
Differentiable Architecture Search via the Bayesian Learning Rule,
CVPR22(11861-11870)
IEEE DOI
2210
Deep learning, Costs, Memory management, Optimization methods,
Benchmark testing, Gaussian distribution,
Optimization methods
BibRef
Ye, P.[Peng],
Li, B.[Baopu],
Li, Y.K.[Yi-Kang],
Chen, T.[Tao],
Fan, J.Y.[Jia-Yuan],
Ouyang, W.L.[Wan-Li],
beta-DARTS: Beta-Decay Regularization for Differentiable Architecture
Search,
CVPR22(10864-10873)
IEEE DOI
2210
Training, Deep learning, Costs, Neural networks,
Search problems, retrieval
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Geada, R.[Rob],
McGough, A.S.[Andrew Stephen],
SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via
Train-Free Metrics,
NAS22(1961-1969)
IEEE DOI
2210
Measurement, Runtime, Heuristic algorithms, Microprocessors,
Neural networks, Manuals
BibRef
Simon, C.[Christian],
Koniusz, P.[Piotr],
Petersson, L.[Lars],
Han, Y.[Yan],
Harandi, M.[Mehrtash],
Towards a Robust Differentiable Architecture Search under Label Noise,
WACV22(3584-3594)
IEEE DOI
2202
Convolution, Neural networks, Focusing,
Manuals, Games, Statistical Methods,
Learning and Optimization Deep Learning
BibRef
Hosseini, R.[Ramtin],
Yang, X.Y.[Xing-Yi],
Xie, P.[Pengtao],
DSRNA: Differentiable Search of Robust Neural Architectures,
CVPR21(6192-6201)
IEEE DOI
2111
Measurement, Jacobian matrices, Deep learning, Training,
Perturbation methods, Search problems
BibRef
He, Y.F.[Yu-Fan],
Yang, D.[Dong],
Roth, H.[Holger],
Zhao, C.[Can],
Xu, D.[Daguang],
DiNTS: Differentiable Neural Network Topology Search for 3D Medical
Image Segmentation,
CVPR21(5837-5846)
IEEE DOI
2111
Image segmentation, Solid modeling,
Network topology, Graphics processing units, Benchmark testing, Topology
BibRef
Gu, Y.C.[Yu-Chao],
Wang, L.J.[Li-Juan],
Liu, Y.[Yun],
Yang, Y.[Yi],
Wu, Y.H.[Yu-Huan],
Lu, S.P.[Shao-Ping],
Cheng, M.M.[Ming-Ming],
DOTS: Decoupling Operation and Topology in Differentiable
Architecture Search,
CVPR21(12306-12315)
IEEE DOI
2111
Codes, Microprocessors, Image edge detection, Search problems
BibRef
Yang, Y.[Yibo],
You, S.[Shan],
Li, H.Y.[Hong-Yang],
Wang, F.[Fei],
Qian, C.[Chen],
Lin, Z.C.[Zhou-Chen],
Towards Improving the Consistency, Efficiency, and Flexibility of
Differentiable Neural Architecture Search,
CVPR21(6663-6672)
IEEE DOI
2111
Training, Costs, Error analysis, Search methods,
Memory management, Computer architecture
BibRef
López, J.G.[Javier García],
Agudo, A.[Antonio],
Moreno-Noguer, F.[Francesc],
E-DNAS: Differentiable Neural Architecture Search for Embedded
Systems,
ICPR21(4704-4711)
IEEE DOI
2105
Measurement, Training, Embedded systems, Search methods,
Presence network agents, System-on-chip, Kernel, Deep Learning,
Convolutional Meta Kernels
BibRef
Wang, Y.M.[Yao-Ming],
Liu, Y.C.[Yu-Chen],
Dai, W.R.[Wen-Rui],
Li, C.L.[Cheng-Lin],
Zou, J.[Junni],
Xiong, H.K.[Hong-Kai],
Learning Latent Architectural Distribution in Differentiable Neural
Architecture Search via Variational Information Maximization,
ICCV21(12292-12301)
IEEE DOI
2203
Error analysis, Search problems,
Data models, Convolutional neural networks, Mutual information,
BibRef
Lin, J.L.[Jun-Liang],
Sung, Y.L.[Yi-Lin],
Hong, C.Y.[Cheng-Yao],
Lee, H.H.[Han-Hung],
Liu, T.L.[Tyng-Luh],
The Maximum a Posterior Estimation of Darts,
ICIP21(419-423)
IEEE DOI
2201
Couplings, Image processing, Estimation, Network architecture,
Benchmark testing, Search problems, Neural Architecture Search,
Deep Learning
BibRef
Hou, P.F.[Peng-Fei],
Jin, Y.[Ying],
Chen, Y.K.[Yu-Kang],
Single-DARTS: Towards Stable Architecture Search,
NeruArch21(373-382)
IEEE DOI
2112
Systematics, Costs, Codes, Stability analysis
BibRef
Xue, S.[Song],
Wang, R.[Runqi],
Zhang, B.C.[Bao-Chang],
Wang, T.[Tian],
Guo, G.D.[Guo-Dong],
Doermann, D.[David],
IDARTS: Interactive Differentiable Architecture Search,
ICCV21(1143-1152)
IEEE DOI
2203
Training, Couplings, Backpropagation, Backtracking, Costs,
Recognition and classification,
Optimization and learning methods
BibRef
Siddiqui, S.[Shahid],
Kyrkou, C.[Christos],
Theocharides, T.[Theocharis],
Operation and Topology Aware Fast Differentiable Architecture Search,
ICPR21(9666-9673)
IEEE DOI
2105
Convolution, Microprocessors, Architecture,
Network architecture, Search problems, Topology
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Hu, Y.[Yibo],
Wu, X.[Xiang],
He, R.[Ran],
TF-NAS: Rethinking Three Search Freedoms of Latency-constrained
Differentiable Neural Architecture Search,
ECCV20(XV:123-139).
Springer DOI
2011
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Vahdat, A.,
Mallya, A.,
Liu, M.,
Kautz, J.,
UNAS: Differentiable Architecture Search Meets Reinforcement Learning,
CVPR20(11263-11272)
IEEE DOI
2008
Search problems, DNA, Linear programming,
Task analysis, Estimation, Loss measurement
BibRef
Wan, A.,
Dai, X.,
Zhang, P.,
He, Z.,
Tian, Y.,
Xie, S.,
Wu, B.,
Yu, M.,
Xu, T.,
Chen, K.,
Vajda, P.,
Gonzalez, J.E.,
FBNetV2: Differentiable Neural Architecture Search for Spatial and
Channel Dimensions,
CVPR20(12962-12971)
IEEE DOI
2008
DNA, Convolution, Neural networks, Training,
Computational efficiency, Space exploration
BibRef
Wu, B.C.[Bi-Chen],
Dai, X.L.[Xiao-Liang],
Zhang, P.Z.[Pei-Zhao],
Wang, Y.H.[Yang-Han],
Sun, F.[Fei],
Wu, Y.M.[Yi-Ming],
Tian, Y.D.[Yuan-Dong],
Vajda, P.[Peter],
Jia, Y.Q.[Yang-Qing],
Keutzer, K.[Kurt],
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable
Neural Architecture Search,
CVPR19(10726-10734).
IEEE DOI
2002
BibRef
Liu, H.X.[Han-Xiao],
Simonyan, K.[Karen],
Yang, Y.M.[Yi-Ming],
DARTS: Differentiable architecture search,
ICLR19
WWW Link.
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Chu, X.X.[Xiang-Xiang],
Zhou, T.B.[Tian-Bao],
Zhang, B.[Bo],
Li, J.X.[Ji-Xiang],
Fair Darts: Eliminating Unfair Advantages in Differentiable
Architecture Search,
ECCV20(XV:465-480).
Springer DOI
2011
BibRef
Chen, X.[Xin],
Xie, L.X.[Ling-Xi],
Wu, J.[Jun],
Tian, Q.[Qi],
Progressive Differentiable Architecture Search:
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ICCV19(1294-1303)
IEEE DOI
2004
Code, Search.
WWW Link. approximation theory, image recognition,
learning (artificial intelligence), neural net architecture,
Computational modeling
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Neural Networks for Classification and Pattern Recognition .