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Neural architecture search has attracted wide attentions in both academia and industry.
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
Chu, X.; Zhang, B.; Ma, H.; Xu, R.; Li, J.; and Li, Q. 2019a · 1901
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Single path one-shot neural architecture search with uniform sampling
Guo, Z.; Zhang, X.; Mu, H.; Heng, W.; Liu, Z.; Wei, Y.; and Sun, J. 2019 · 1904
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Densely connected search space for more flexible neural architecture search
Fang, J.; Sun, Y.; Zhang, Q.; Li, Y.; Liu, W.; and Wang, X. 2019 · 1906
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FairNAS: Rethinking evaluation fairness of weight sharing neural architecture search
Chu, X.; Zhang, B.; Xu, R.; and Li, J. 2019b · 1907
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A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction
Friede, D.; Lukasik, J.; Stuckenschmidt, H.; and Keuper, M. 2019 · 1912
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NAS-Bench-102: Extending the Scope of Reproducible Neural Architecture Search
Dong, X.; and Yang, Y. 2020 · 2001
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A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS
Ning, X.; Zheng, Y.; Zhao, T.; Wang, Y.; and Yang, H. 2020 · 2004
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Gold-nas: Gradual, one-level, differentiable
Bi, K.; Xie, L.; Chen, X.; Wei, L.; and Tian, Q. 2020 · 2007
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Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Xie, L.; Chen, X.; Bi, K.; Wei, L.; Xu, Y.; Chen, Z.; Wang, L.; Xiao, A.; Chang, J.; Zhang, X.; et al. 2020 · 2008
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ImageNet: A large-scale hierarchical image database
Deng, J.; Dong, W.; Socher, R.; Li, L.-J.; Li, K.; and Fei-Fei, L. 2009 · 2009
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ImageNet large scale visual recognition challenge
Russakovsky, O.; Deng, J.; Su, H.; Krause, J.; Satheesh, S.; Ma, S.; Huang, Z.; Karpathy, A.; Khosla, A.; Bernstein, M.; et al. 2015 · 2015
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Going deeper with convolutions
Szegedy, C.; Liu, W.; Jia, Y.; Sermanet, P.; Reed, S.; Anguelov, D.; Erhan, D.; Vanhoucke, V.; and Rabinovich, A. 2015 · 2015
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SMASH: one-shot model architecture search through hypernetworks
Brock, A.; Lim, T.; Ritchie, J. M.; and Weston, N. 2017 · 2017
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MobileNets: Efficient convolutional neural networks for mobile vision applications
Howard, A. G.; Zhu, M.; Chen, B.; Kalenichenko, D.; Wang, W.; Weyand, T.; Andreetto, M.; and Adam, H. 2017 · 2017
Earlier work this paper cites.
Semi-Supervised Classification with Graph Convolutional Networks
Kipf, T. N.; and Welling, M. 2017 · 2017
Cited alongside, same era.
Large-scale evolution of image classifiers
Real, E.; Moore, S.; Selle, A.; Saxena, S.; Suematsu, Y. L.; Tan, J.; Le, Q. V.; and Kurakin, A. 2017 · 2017
Cited alongside, same era.
Genetic CNN
Xie, L.; and Yuille, A. 2017 · 2017
Cited alongside, same era.
Neural architecture search with reinforcement learning
Zoph, B.; and Le, Q. V. 2017 · 2017
Cited alongside, same era.
Efficient architecture search by network transformation
Cai, H.; Chen, T.; Zhang, W.; Yu, Y.; and Wang, J. 2018 · 2018
Cited alongside, same era.
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Cai, H.; Zhu, L.; and Han, S. 2018 · 2018
Cited alongside, same era.
ShuffleNet: An extremely efficient convolutional neural network for mobile devices
Zhang, X.; Zhou, X.; Lin, M.; and Sun, J. 2018 · 2018
Later among the works it cites.
Learning transferable architectures for scalable image recognition
Zoph, B.; Vasudevan, V.; Shlens, J.; and Le, Q. V. 2018 · 2018
Later among the works it cites.
Progressive differentiable architecture search: Bridging the depth gap between search and evaluation
Chen, X.; Xie, L.; Wu, J.; and Tian, Q. 2019 · 2019
Later among the works it cites.
Autoaugment: Learning augmentation strategies from data
Cubuk, E. D.; Zoph, B.; Mane, D.; Vasudevan, V.; and Le, Q. V. 2019 · 2019
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Searching for A Robust Neural Architecture in Four GPU Hours
Dong, X.; and Yang, Y. 2019 · 2019
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Neural Architecture Search: A Survey
Elsken, T.; Metzen, J. H.; and Hutter, F. 2019 · 2019
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Progressive neural architecture search
Liu, C.; Zoph, B.; Neumann, M.; Shlens, J.; Hua, W.; Li, L.-J.; Fei-Fei, L.; Yuille, A.; Huang, J.; and Murphy, K. 2018 · 2018
Cited alongside, same era.
DARTS: Differentiable architecture search
Liu, H.; Simonyan, K.; and Yang, Y. 2018 · 2018
Cited alongside, same era.
Neural architecture optimization
Luo, R.; Tian, F.; Qin, T.; Chen, E.; and Liu, T.-Y. 2018 · 2018
Cited alongside, same era.
ShuffleNet V2: Practical guidelines for efficient cnn architecture design
Ma, N.; Zhang, X.; Zheng, H.-T.; and Sun, J. 2018 · 2018
Cited alongside, same era.
Efficient neural architecture search via parameter sharing
Pham, H.; Guan, M. Y.; Zoph, B.; Le, Q. V.; and Dean, J. 2018 · 2018
Cited alongside, same era.
Regularized evolution for image classifier architecture search
Real, E.; Aggarwal, A.; Huang, Y.; and Le, Q. V. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Searching for mobilenetv3
Howard, A.; Sandler, M.; Chu, G.; Chen, L.-C.; Chen, B.; Tan, M.; Wang, W.; Zhu, Y.; Pang, R.; Vasudevan, V.; et al. 2019 · 2019
Later among the works it cites.
Mnasnet: Platform-aware neural architecture search for mobile
Tan, M.; Chen, B.; Pang, R.; Vasudevan, V.; Sandler, M.; Howard, A.; and Le, Q. V. 2019 · 2019
Later among the works it cites.
Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search
Wu, B.; Dai, X.; Zhang, P.; Wang, Y.; Sun, F.; Wu, Y.; Tian, Y.; Vajda, P.; Jia, Y.; and Keutzer, K. 2019 · 2019
Later among the works it cites.
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Ying, C.; Klein, A.; Christiansen, E.; Real, E.; Murphy, K.; and Hutter, F. 2019 · 2019
Later among the works it cites.
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
Shi, H.; Pi, R.; Xu, H.; Li, Z.; Kwok, J.; and Zhang, T. 2020 · 2020
Closest in time.
Neural predictor for neural architecture search
Wen, W.; Liu, H.; Chen, Y.; Li, H.; Bender, G.; and Kindermans, P.-J. 2020 · 2020
Closest in time.
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Xu, Y.; Xie, L.; Zhang, X.; Chen, X.; Qi, G.-J.; Tian, Q.; and Xiong, H. 2020 · 2020
Closest in time.