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Recent studies on automatic neural architectures search have demonstrated significant performance, competitive to or even better than hand-crafted neural architectures.
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2018
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2018
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L. Liu, W. Liu, Y. Zheng, H. Ma, and C. Zhang, “Third-eye: A mobilephone-enabled crowdsensing system for air quality monitoring,” in
2018
Cited alongside, same era.
H. Cai, T. Chen, W. Zhang, Y. Yu, and J. Wang, “Efficient architecture search by network transformation,” in
2018
Cited alongside, same era.
B. Zoph, V. Vasudevan, J. Shlens, and Q. V. Le, “Learning transferable architectures for scalable image recognition,” in
2018
Cited alongside, same era.
2018
Cited alongside, same era.
J.-D. Dong, A.-C. Cheng, D.-C. Juan, W. Wei, and M. Sun, “Ppp-net: Platform-aware progressive search for pareto-optimal neural architectures,” in
2018
Cited alongside, same era.
P. Liu, W. Liu, H. Ma, and M. Seok, “Ktan: Knowledge transfer adversarial network,”
2018
Cited alongside, same era.
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L.-C. Chen, “Mobilenetv2: Inverted residuals and linear bottlenecks,” in
2018
Cited alongside, same era.
M. Tan, B. Chen, R. Pang, V. Vasudevan, M. Sandler, A. Howard, and Q. V. Le, “Mnasnet: Platform-aware neural architecture search for mobile,” in
2019
Closest in time.
2019
Closest in time.
J. Yu and T. Huang, “Autoslim: Towards one-shot architecture search for channel numbers,”
2019
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2019
Closest in time.
B. Wu, X. Dai, P. Zhang, Y. Wang, F. Sun, Y. Wu, Y. Tian, P. Vajda, Y. Jia, and K. Keutzer, “Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search,” in
2019
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H. Liu, K. Simonyan, and Y. Yang, “Darts: Differentiable architecture search,” in
2019
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H. Cai, L. Zhu, and S. Han, “Proxylessnas: Direct neural architecture search on target task and hardware,” in
2019
Closest in time.