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There has been a large literature of neural architecture search, but most existing work made use of heuristic rules that largely constrained the search flexibility.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L. J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Learning multiple layers of features from tiny images
A. Krizhevsky and G. Hinton · 2009
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Deep learning
Y. LeCun, Y. Bengio, and G. Hinton · 2015
Earlier work this paper cites.
Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
Earlier work this paper cites.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
Improved regularization of convolutional neural networks with cutout
T. DeVries and G. W. Taylor · 2017
Earlier work this paper cites.
Mobilenets: Efficient convolutional neural networks for mobile vision applications
A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam · 2017
Earlier work this paper cites.
Densely connected convolutional networks
G. Huang, Z. Liu, L. Van Der Maaten, and K. Q. Weinberger · 2017
Earlier work this paper cites.
Large-scale evolution of image classifiers
E. Real, S. Moore, A. Selle, S. Saxena, Y. L. Suematsu, J. Tan, Q. V. Le, and A. Kurakin · 2017
Earlier work this paper cites.
Genetic CNN
L. Xie and A. L. Yuille · 2017
Earlier work this paper cites.
Neural architecture search with reinforcement learning
B. Zoph and Q. V. Le · 2017
Earlier work this paper cites.
Efficient architecture search by network transformation
H. Cai, T. Chen, W. Zhang, Y. Yu, and J. Wang · 2018
Cited alongside, same era.
Progressive neural architecture search
C. Liu, B. Zoph, M. Neumann, J. Shlens, W. Hua, L. J. Li, L. Fei-Fei, A. L. Yuille, J. Huang, and K. Murphy · 2018
Cited alongside, same era.
Neural architecture optimization
R. Luo, F. Tian, T. Qin, E. Chen, and T. Y. Liu · 2018
Cited alongside, same era.
Shufflenet v2: Practical guidelines for efficient cnn architecture design
N. Ma, X. Zhang, H. T. Zheng, and J. Sun · 2018
Cited alongside, same era.
Efficient neural architecture search via parameter sharing
H. Pham, M. Guan, B. Zoph, Q. V. Le, and J. Dean · 2018
Cited alongside, same era.
Differentiable neural network architecture search
R. Shin, C. Packer, and D. Song · 2018
Cited alongside, same era.
Single path one-shot neural architecture search with uniform sampling
Z. Guo, X. Zhang, H. Mu, W. Heng, Z. Liu, Y. Wei, and J. Sun · 2019
Later among the works it cites.
Searching for mobilenetv3
A. Howard, M. Sandler, G. Chu, L.-C. Chen, B. Chen, M. Tan, W. Wang, Y. Zhu, R. Pang, V. Vasudevan, et al · 2019
Later among the works it cites.
Stacnas: Towards stable and consistent optimization for differentiable neural architecture search
G. Li, X. Zhang, Z. Wang, Z. Li, and T. Zhang · 2019
Later among the works it cites.
Random search and reproducibility for neural architecture search
L. Li and A. Talwalkar · 2019
Later among the works it cites.
Darts+: Improved differentiable architecture search with early stopping
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SNAS: Stochastic neural architecture search
S. Xie, H. Zheng, C. Liu, and L. Lin · 2018
Cited alongside, same era.
Learning transferable architectures for scalable image recognition
B. Zoph, V. Vasudevan, J. Shlens, and Q. V. Le · 2018
Cited alongside, same era.
Stabilizing darts with amended gradient estimation on architectural parameters
K. Bi, C. Hu, L. Xie, X. Chen, L. Wei, and Q. Tian · 2019
Cited alongside, same era.
Proxylessnas: Direct neural architecture search on target task and hardware
H. Cai, L. Zhu, and S. Han · 2019
Cited alongside, same era.
Progressive differentiable architecture search: Bridging the depth gap between search and evaluation
X. Chen, L. Xie, J. Wu, and Q. Tian · 2019
Cited alongside, same era.
Fairnas: Rethinking evaluation fairness of weight sharing neural architecture search
X. Chu, B. Zhang, R. Xu, and J. Li · 2019
Cited alongside, same era.
H. Liang, S. Zhang, J. Sun, X. He, W. Huang, K. Zhuang, and Z. Li · 2019
Later among the works it cites.
Darts: Differentiable architecture search
H. Liu, K. Simonyan, and Y. Yang · 2019
Later among the works it cites.
Xnas: Neural architecture search with expert advice
N. Nayman, A. Noy, T. Ridnik, I. Friedman, R. Jin, and L. Zelnik-Manor · 2019
Later among the works it cites.
Regularized evolution for image classifier architecture search
E. Real, A. Aggarwal, Y. Huang, and Q. V. Le · 2019
Later among the works it cites.
Mnasnet: Platform-aware neural architecture search for mobile
M. Tan, B. Chen, R. Pang, V. Vasudevan, M. Sandler, A. Howard, and Q. V. Le · 2019
Later among the works it cites.
Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search
B. Wu, X. Dai, P. Zhang, Y. Wang, F. Sun, Y. Wu, Y. Tian, P. Vajda, Y. Jia, and K. Keutzer · 2019
Later among the works it cites.
Pc-darts: Partial channel connections for memory-efficient differentiable architecture search
Y. Xu, L. Xie, X. Zhang, X. Chen, G. J. Qi, Q. Tian, and H. Xiong · 2020
Closest in time.
Latency-aware differentiable neural architecture search
Y. Xu, L. Xie, X. Zhang, X. Chen, B. Shi, Q. Tian, and H. Xiong · 2020
Closest in time.
Understanding and robustifying differentiable architecture search
A. Zela, T. Elsken, T. Saikia, Y. Marrakchi, T. Brox, and F. Hutter · 2020
Closest in time.