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Recent breakthroughs in Neural Architectural Search (NAS) have achieved state-of-the-art performance in many tasks such as image classification and language understanding.
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Barret Zoph and Quoc V Le · 2016
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Deep residual learning for image recognition
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Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V Le · 2017
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Hierarchical representations for efficient architecture search
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Andrew Brock, Theodore Lim, James M Ritchie, and Nick Weston · 2017
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Simple and efficient architecture search for convolutional neural networks
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Regularized evolution for image classifier architecture search
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Densely connected convolutional networks
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Gao Huang, Shichen Liu, Laurens van der Maaten, and Kilian Q Weinberger · 2017
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Multi-objective architecture search for cnns
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