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The quest for performant networks has been a significant force that drives the advancements of deep learning in recent years.
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Microsoft coco: Common objects in context
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Very deep convolutional networks for large-scale image recognition
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Freeze-thaw bayesian optimization
K. Swersky, J. Snoek, and R. P. Adams · 2014
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Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves
T. Domhan, J. T. Springenberg, and F. Hutter · 2015
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Visualizing and understanding recurrent networks
A. Karpathy, J. Johnson, and L. Fei-Fei · 2015
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Densely connected convolutional networks
G. Huang, Z. Liu, K. Q. Weinberger, and L. van der Maaten · 2016
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Hyperband: A novel bandit-based approach to hyperparameter optimization
L. Li, K. Jamieson, G. DeSalvo, A. Rostamizadeh, and A. Talwalkar · 2016
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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2016
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Neural architecture search with reinforcement learning
B. Zoph and Q. V. Le · 2016
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Practical neural network performance prediction for early stopping
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Beyond short snippets: Deep networks for video classification
J. Yue-Hei Ng, M. Hausknecht, S. Vijayanarasimhan, O. Vinyals, R. Monga, and G. Toderici · 2015
Cited alongside, same era.
Designing neural network architectures using reinforcement learning
B. Baker, O. Gupta, N. Naik, and R. Raskar · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
B. Baker, O. Gupta, R. Raskar, and N. Naik · 2017
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Y. Chen, J. Li, H. Xiao, X. Jin, S. Yan, and J. Feng · 2017
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Learning curve prediction with bayesian neural networks
A. Klein, S. Falkner, J. T. Springenberg, and F. Hutter · 2017
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Practical network blocks design with q-learning
Z. Zhong, J. Yan, and C.-L. Liu · 2017
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Learning transferable architectures for scalable image recognition
B. Zoph, V. Vasudevan, J. Shlens, and Q. V. Le · 2017
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