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[1] Andrea Vedaldi,et al. Deep Image Prior , 2017, International Journal of Computer Vision.
[2] Nicholas D. Lane,et al. Zero-Cost Proxies for Lightweight NAS , 2021, ICLR.
[3] Kalyanmoy Deb,et al. Neural Architecture Transfer , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[5] Zhichao Lu,et al. MUXConv: Information Multiplexing in Convolutional Neural Networks , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Nikos Komodakis,et al. Wide Residual Networks , 2016, BMVC.
[7] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[8] Song Han,et al. ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware , 2018, ICLR.
[9] Aaron Klein,et al. Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search , 2018, ArXiv.
[10] Xuesen Zhang,et al. EcoNAS: Finding Proxies for Economical Neural Architecture Search , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[12] Xiangyu Zhang,et al. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[14] Hanxiao Liu,et al. Neural Predictor for Neural Architecture Search , 2019, ECCV.
[15] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[16] Yu Wang,et al. A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS , 2020, ECCV.
[17] Frank Hutter,et al. SGDR: Stochastic Gradient Descent with Warm Restarts , 2016, ICLR.
[18] Yiming Yang,et al. DARTS: Differentiable Architecture Search , 2018, ICLR.
[19] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Yehui Tang,et al. Homogeneous Architecture Augmentation for Neural Predictor , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[21] Bo Chen,et al. MnasNet: Platform-Aware Neural Architecture Search for Mobile , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Ran Cheng,et al. Efficient evolutionary neural architecture search by modular inheritable crossover , 2021, Swarm Evol. Comput..
[23] Margret Keuper,et al. NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search , 2020, ArXiv.
[24] Bing Xue,et al. Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor , 2020 .
[25] Oriol Vinyals,et al. Hierarchical Representations for Efficient Architecture Search , 2017, ICLR.
[26] Mi Zhang,et al. Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? , 2020, NeurIPS.
[27] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Li Fei-Fei,et al. Progressive Neural Architecture Search , 2017, ECCV.
[29] Fan Yang,et al. RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[30] John K. Tsotsos,et al. Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing , 2018, 2019 16th Conference on Computer and Robot Vision (CRV).
[31] Kalyanmoy Deb,et al. NSGA-Net: neural architecture search using multi-objective genetic algorithm , 2018, GECCO.
[32] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[33] Zhenghao Chen,et al. On Random Weights and Unsupervised Feature Learning , 2011, ICML.
[34] Xiangyu Zhang,et al. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design , 2018, ECCV.
[35] Alok Aggarwal,et al. Regularized Evolution for Image Classifier Architecture Search , 2018, AAAI.
[36] Amos Storkey,et al. Neural Architecture Search without Training , 2021, ICML.
[37] Lars Kai Hansen,et al. Neural Network Ensembles , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[38] Yi Yang,et al. NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search , 2020, ICLR.
[39] Wei Wu,et al. BlockQNN: Efficient Block-Wise Neural Network Architecture Generation , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Adam Gaier,et al. Weight Agnostic Neural Networks , 2019, NeurIPS.
[41] Mengjie Zhang,et al. Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[42] Yann LeCun,et al. What is the best multi-stage architecture for object recognition? , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[43] Chuang Gan,et al. Once for All: Train One Network and Specialize it for Efficient Deployment , 2019, ICLR.
[44] Graham W. Taylor,et al. Improved Regularization of Convolutional Neural Networks with Cutout , 2017, ArXiv.
[45] Been Kim,et al. Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values , 2018, ICLR.
[46] Zhichao Lu,et al. NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search , 2020, ECCV.
[47] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[48] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[49] Vijay Vasudevan,et al. Learning Transferable Architectures for Scalable Image Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[50] Liang Lin,et al. SNAS: Stochastic Neural Architecture Search , 2018, ICLR.
[51] Mengjie Zhang,et al. Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor , 2020, IEEE Transactions on Evolutionary Computation.
[52] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[53] Vishnu Naresh Boddeti,et al. Local Binary Convolutional Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Mark Sandler,et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[55] Alan L. Yuille,et al. Genetic CNN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).