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Differentiable neural architecture search (DARTS) has gained much success in discovering flexible and diverse cell types.
DARTS+: Improved Differentiable Architecture Search with Early Stopping
Liang, H.; Zhang, S.; Sun, J.; He, X.; Huang, W.; Zhuang, K.; and Li, Z. 2019 · 1909
Earlier work this paper cites.
Understanding architectures learnt by cell-based neural architecture search
Shu, Y.; Wang, W.; and Cai, S. 2019 · 1909
Earlier work this paper cites.
Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters
Bi, K.; Hu, C.; Xie, L.; Chen, X.; Wei, L.; and Tian, Q. 2019 · 1910
Earlier work this paper cites.
Hierarchical optimization: An introduction
Anandalingam, G.; and Friesz, T. L. 1992 · 1992
Earlier work this paper cites.
Gold-nas: Gradual, one-level, differentiable
Bi, K.; Xie, L.; Chen, X.; Wei, L.; and Tian, Q. 2020 · 2007
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An overview of bilevel optimization
Colson, B.; Marcotte, P.; and Savard, G. 2007 · 2007
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Deng, J.; Dong, W.; Socher, R.; Li, L.-J.; Li, K.; and Fei-Fei, L. 2009 · 2009
Earlier work this paper cites.
The cifar-10 dataset
Krizhevsky, A.; Nair, V.; and Hinton, G. 2014 · 2014
Earlier work this paper cites.
Designing Neural Network Architectures using Reinforcement Learning
Baker, B.; Gupta, O.; Naik, N.; and Raskar, R. 2017 · 2017
Earlier work this paper cites.
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
Cited alongside, same era.
Densely connected convolutional networks
Huang, G.; Liu, Z.; Van Der Maaten, L.; and Weinberger, K. Q. 2017 · 2017
Cited alongside, same era.
Neural Architecture Search with Reinforcement Learning
Zoph, B.; and Le, Q. V. 2017 · 2017
Cited alongside, same era.
Understanding and Simplifying One-Shot Architecture Search
Bender, G.; Kindermans, P.-J.; Zoph, B.; Vasudevan, V.; and Le, Q. 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.
DARTS: Differentiable Architecture Search
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.
Regularized evolution for image classifier architecture search
Real, E.; Aggarwal, A.; Huang, Y.; and Le, Q. V. 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.
SNAS: stochastic neural architecture search
Xie, S.; Zheng, H.; Liu, C.; and Lin, L. 2019 · 2019
Later among the works it cites.
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. 2019 · 2019
Later among the works it cites.
Hm-nas: Efficient neural architecture search via hierarchical masking
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Liu, H.; Simonyan, K.; and Yang, 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 Parameters Sharing
Pham, H.; Guan, M.; Zoph, B.; Le, Q.; and Dean, J. 2018 · 2018
Cited alongside, same era.
Learning transferable architectures for scalable image recognition
Zoph, B.; Vasudevan, V.; Shlens, J.; and Le, Q. V. 2018 · 2018
Cited alongside, same era.
Yan, S.; Fang, B.; Zhang, F.; Zheng, Y.; Zeng, X.; Zhang, M.; and Xu, H. 2019 · 2019
Later among the works it cites.
Milenas: Efficient neural architecture search via mixed-level reformulation
He, C.; Ye, H.; Shen, L.; and Zhang, T. 2020 · 2020
Closest in time.
Si-vdnas: Semiimplicit variational dropout for hierarchical one-shot neural architecture search
Wang, Y.; Dai, W.; Li, C.; Zou, J.; and Xiong, H. 2020 · 2020
Closest in time.