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Recent advances show that Neural Architectural Search (NAS) method is able to find state-of-the-art image classification deep architectures.
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Neural architecture search with reinforcement learning
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Accelerating neural architecture search using performance prediction
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Smash: one-shot model architecture search through hypernetworks
Learning transferable architectures for scalable image recognition
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Efficient architecture search by network transformation, AAAI
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Dpp-net: Device-aware progressive search for pareto-optimal neural architectures
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Darts: Differentiable architecture search
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Shufflenet V2: practical guidelines for efficient CNN architecture design
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Improved regularization of convolutional neural networks with cutout
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
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Deeparchitect: Automatically designing and training deep architectures
Negrinho, R., Gordon, G., 2017 · 2017
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Large-scale evolution of image classifiers
Real, E., Moore, S., Selle, A., Saxena, S., Suematsu, Y.L., Tan, J., Le, Q., Kurakin, A., 2017 · 2017
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Inception-v4, inception-resnet and the impact of residual connections on learning., in: AAAI, p. 12
Szegedy, C., Ioffe, S., Vanhoucke, V., Alemi, A.A., 2017 · 2017
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Genetic cnn., in: ICCV, pp. 1388–1397
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Practical network blocks design with q-learning
Zhong, Z., Yan, J., Liu, C.L., 2017 · 2017
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Ma, N., Zhang, X., Zheng, H., Sun, J., 2018 · 2018
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Efficient neural architecture search via parameter sharing
Pham, H., Guan, M.Y., Zoph, B., Le, Q.V., Dean, J., 2018 · 2018
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Regularized evolution for image classifier architecture search
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Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation, CVPR
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Mnasnet: Platform-aware neural architecture search for mobile
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IGCV2: interleaved structured sparse convolutional neural networks, in: CVPR
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Resource-efficient neural architect
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Neural architecture search with bayesian optimisation and optimal transport
Kandasamy, K., Neiswanger, W., Schneider, J.G., Poczos, B., Xing, E.P., 2018 · 2025
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