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Neural Architecture Search (NAS) has shown great success in automating the design of neural networks, but the prohibitive amount of computations behind current NAS methods requires further investigations in improving the sample efficiency and the network evaluation cost to get better results in a shorter time.
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Auto-weka: Combined selection and hyperparameter optimization of classification algorithms
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Microsoft COCO: common objects in context
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Microsoft COCO: common objects in context
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C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna · 2015
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Show, attend and tell: Neural image caption generation with visual attention
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Designing Neural Network Architectures using Reinforcement Learning
B. Baker, O. Gupta, N. Naik, and R. Raskar · 2016
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Convolution by evolution: Differentiable pattern producing networks
C. Fernando, D. Banarse, M. Reynolds, F. Besse, D. Pfau, M. Jaderberg, M. Lanctot, and D. Wierstra · 2016
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Ssd: Single shot multibox detector
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R. Negrinho and G. Gordon · 2017
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D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre, G. Van Den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, et al · 2016
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Neural Architecture Search with Reinforcement Learning
B. Zoph and Q. V. Le · 2016
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Simple and efficient architecture search for convolutional neural networks
T. Elsken, J.-H. Metzen, and F. Hutter · 2017
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Lstm: A search space odyssey
K. Greff, R. K. Srivastava, J. Koutník, B. R. Steunebrink, and J. Schmidhuber · 2017
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Progressive neural architecture search
C. Liu, B. Zoph, J. Shlens, W. Hua, L.-J. Li, L. Fei-Fei, A. Yuille, J. Huang, and K. Murphy · 2017
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Progressive Neural Architecture Search
C. Liu, B. Zoph, J. Shlens, W. Hua, L.-J. Li, L. Fei-Fei, A. Yuille, J. Huang, and K. Murphy · 2017
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Hierarchical Representations for Efficient Architecture Search
H. Liu, K. Simonyan, O. Vinyals, C. Fernando, and K. Kavukcuoglu · 2017
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B. Zoph, V. Vasudevan, J. Shlens, and Q. V. Le · 2017
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Proxylessnas: Direct neural architecture search on target task and hardware
H. Cai, L. Zhu, and S. Han · 2018
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Darts: Differentiable architecture search
H. Liu, K. Simonyan, and Y. Yang · 2018
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Neural architecture optimization
R. Luo, F. Tian, T. Qin, E. Chen, and T.-Y. 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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Renas: Reinforced evolutionary neural architecture search
Y. Chen, G. Meng, Q. Zhang, S. Xiang, C. Huang, L. Mu, and X. Wang · 2019
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Evaluating the search phase of neural architecture search
C. Sciuto, K. Yu, M. Jaggi, C. Musat, and M. Salzmann · 2019
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Nas-bench-101: Towards reproducible neural architecture search
C. Ying, A. Klein, E. Real, E. Christiansen, K. Murphy, and F. Hutter · 2019
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