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Finding the best neural network architecture requires significant time, resources, and human expertise.
Ensemble selection from libraries of models
Caruana, R., Niculescu-Mizil, A., Crew, G., and Ksikes, A · 2004
Earlier work this paper cites.
Model compression
Buciluǎ, C., Caruana, R., and Niculescu-Mizil, A · 2006
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Learning multiple layers of features from tiny images
Krizhevsky, A. and Hinton, G · 2009
Earlier work this paper cites.
Striving for simplicity: The all convolutional net
Springenberg, J. T., Dosovitskiy, A., Brox, T., and Riedmiller, M · 2014
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Distilling the knowledge in a neural network
Hinton, G., Vinyals, O., and Dean, J · 2015
Earlier work this paper cites.
Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., and Rabinovich, A · 2015
Earlier work this paper cites.
Adanet: Adaptive structural learning of artificial neural networks
Cortes, C., Gonzalvo, X., Kuznetsov, V., Mohri, M., and Yang, S · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
Cited alongside, same era.
Neural architecture search with reinforcement learning
Zoph, B. and Le, Q. V · 2016
Cited alongside, same era.
Improved regularization of convolutional neural networks with cutout
DeVries, T. and Taylor, G. W · 2017
Cited alongside, same era.
Gastaldi, X · 2017
Cited alongside, same era.
Learning transferable architectures for scalable image recognition
Zoph, B., Vasudevan, V., Shlens, J., and Le, Q. V · 2017
Cited alongside, same era.
Coupled ensembles of neural networks
Dutt, A., Pellerin, D., and Quénot, G · 2018
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Furlanello, T., Lipton, Z. C., Tschannen, M., Itti, L., and Anandkumar, A · 2018
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Neural architecture optimization
Luo, R., Tian, F., Qin, T., Chen, E., and Liu, T.-Y · 2018
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Regularized evolution for image classifier architecture search
Real, E., Aggarwal, A., Huang, Y., and Le, Q. V · 2018
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Adanet: Fast and flexible automl with learning guarantees
Weill, C., Gonzalvo, J., Kuznetsov, V., Yang, S., Yak, S., Mazzawi, H., Hotaj, E., Jerfel, G., Macko, V., Mohri, M., and Cortes, C · 2018
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Autoaugment: Learning augmentation policies from data
Cubuk, E. D., Zoph, B., Mane, D., Vasudevan, V., and Le, Q. V · 2018
Cited alongside, same era.
Yamada, Y., Iwamura, M., and Kise, K · 2018
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