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Latest algorithms for automatic neural architecture search perform remarkable but are basically directionless in search space and computational expensive in training of every intermediate architecture.
A comparative analysis of selection schemes used in genetic algorithms
D. E. Goldberg and K. Deb · 1990
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Efficient reinforcement learning through evolving neural network topologies
K. O. Stanley and R. Miikkulainen · 2002
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A hypercube-based encoding for evolving large-scale neural networks
K. O. Stanley, D. B. D’Ambrosio, and J. Gauci · 2009
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Network in network
M. Lin, Q. Chen, and S. Yan · 2014
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Dropout: a simple way to prevent neural networks from overfitting
N. Srivastava, G. E. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 2014
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Net2net: Accelerating learning via knowledge transfer
T. Chen, I. J. Goodfellow, and J. Shlens · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Network morphism
T. Wei, C. Wang, Y. Rui, and C. W. Chen · 2016
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Reinforcement learning for architecture search by network transformation
H. Cai, T. Chen, W. Zhang, Y. Yu, and J. Wang · 2017
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Xception: Deep learning with depthwise separable convolutions
F. Chollet · 2017
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Improved regularization of convolutional neural networks with cutout
T. Devries and G. W. Taylor · 2017
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X. Gastaldi · 2017
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Deep pyramidal residual networks
D. Han, J. Kim, and J. Kim · 2017
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Densely connected convolutional networks
G. Huang, Z. Liu, L. van der Maaten, and K. Q. Weinberger · 2017
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SGDR: stochastic gradient descent with warm restarts
I. Loshchilov and F. Hutter · 2017
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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
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Aggregated residual transformations for deep neural networks
S. Xie, R. B. Girshick, P. Dollár, Z. Tu, and K. He · 2017
Cited alongside, same era.
Neural architecture search with reinforcement learning
B. Zoph and Q. V. Le · 2017
Cited alongside, same era.
Neural architecture construction using envelopenets
P. Kamath, A. Singh, and D. Dutta · 2018
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Neural architecture search with bayesian optimisation and optimal transport
K. Kandasamy, W. Neiswanger, J. Schneider, B. Póczos, and E. P. Xing · 2018
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Progressive neural architecture search
C. Liu, B. Zoph, M. Neumann, J. Shlens, W. Hua, L. Li, L. Fei-Fei, A. L. Yuille, J. Huang, and K. Murphy · 2018
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Hierarchical representations for efficient architecture search
H. Liu, K. Simonyan, O. Vinyals, C. Fernando, and K. Kavukcuoglu · 2018
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DARTS: differentiable architecture search
H. Liu, K. Simonyan, and Y. Yang · 2018
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Efficient architecture search by network transformation
H. Cai, T. Chen, W. Zhang, Y. Yu, and J. Wang · 2018
Cited alongside, same era.
Path-level network transformation for efficient architecture search
H. Cai, J. Yang, W. Zhang, S. Han, and Y. Yu · 2018
Cited alongside, same era.
Proxylessnas: Direct neural architecture search on target task and hardware
H. Cai, L. Zhu, and S. Han · 2018
Cited alongside, same era.
Autoaugment: Learning augmentation policies from data
E. D. Cubuk, B. Zoph, D. Mané, V. Vasudevan, and Q. V. Le · 2018
Cited alongside, same era.
Dropblock: A regularization method for convolutional networks
G. Ghiasi, T. Lin, and Q. V. Le · 2018
Cited alongside, same era.
Macro neural architecture search revisited
H. Hu, J. Langford, R. Caruana, E. Horvitz, and D. D. and · 2018
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Neural architecture optimization
R. Luo, F. Tian, T. Qin, E. Chen, and T. Liu · 2018
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Efficient neural architecture search via parameter sharing
H. Pham, M. Y. Guan, B. Zoph, Q. V. Le, and J. Dean · 2018
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Regularized evolution for image classifier architecture search
E. Real, A. Aggarwal, Y. Huang, and Q. V. Le · 2018
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Deep learning architecture search by neuro-cell-based evolution with function-preserving mutations
M. Wistuba · 2018
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mixup: Beyond empirical risk minimization
H. Zhang, M. Cissé, Y. N. Dauphin, and D. Lopez-Paz · 2018
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Learning transferable architectures for scalable image recognition
B. Zoph, V. Vasudevan, J. Shlens, and Q. V. Le · 2018
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Searching for a robust neural architecture in four gpu hours
X. Dong and Y. Yang · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks
M. Tan and Q. V. Le · 2019
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