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[1] Yoshua Bengio,et al. BinaryConnect: Training Deep Neural Networks with binary weights during propagations , 2015, NIPS.
[2] Ping Tan,et al. Sparsely Aggregated Convolutional Networks , 2018, ECCV.
[3] Takuya Akiba,et al. Shakedrop Regularization for Deep Residual Learning , 2018, IEEE Access.
[4] Theodore Lim,et al. SMASH: One-Shot Model Architecture Search through HyperNetworks , 2017, ICLR.
[5] Song Han,et al. Learning both Weights and Connections for Efficient Neural Network , 2015, NIPS.
[6] Abhishek Singh,et al. Neural Architecture Construction using EnvelopeNets , 2018, ArXiv.
[7] Quoc V. Le,et al. Efficient Neural Architecture Search via Parameter Sharing , 2018, ICML.
[8] Frank Hutter,et al. Multi-objective Architecture Search for CNNs , 2018, ArXiv.
[9] Bo Chen,et al. MnasNet: Platform-Aware Neural Architecture Search for Mobile , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Kilian Q. Weinberger,et al. Deep Networks with Stochastic Depth , 2016, ECCV.
[11] Yong Yu,et al. Efficient Architecture Search by Network Transformation , 2017, AAAI.
[12] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[13] Alok Aggarwal,et al. Regularized Evolution for Image Classifier Architecture Search , 2018, AAAI.
[14] Song Han,et al. AMC: AutoML for Model Compression and Acceleration on Mobile Devices , 2018, ECCV.
[15] Yiming Yang,et al. DARTS: Differentiable Architecture Search , 2018, ICLR.
[16] Min Sun,et al. DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures , 2018, ECCV.
[17] Zhiqiang Shen,et al. Learning Efficient Convolutional Networks through Network Slimming , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[18] Oriol Vinyals,et al. Hierarchical Representations for Efficient Architecture Search , 2017, ICLR.
[19] Song Han,et al. Path-Level Network Transformation for Efficient Architecture Search , 2018, ICML.
[20] Vijay Vasudevan,et al. Learning Transferable Architectures for Scalable Image Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[21] Song Han,et al. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding , 2015, ICLR.
[22] Graham W. Taylor,et al. Improved Regularization of Convolutional Neural Networks with Cutout , 2017, ArXiv.
[23] Tie-Yan Liu,et al. Neural Architecture Optimization , 2018, NeurIPS.
[24] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Frank Hutter,et al. Neural Architecture Search: A Survey , 2018, J. Mach. Learn. Res..
[26] Quoc V. Le,et al. Understanding and Simplifying One-Shot Architecture Search , 2018, ICML.
[27] Xiangyu Zhang,et al. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design , 2018, ECCV.
[28] R. J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[29] Junmo Kim,et al. Deep Pyramidal Residual Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Quoc V. Le,et al. Neural Architecture Search with Reinforcement Learning , 2016, ICLR.
[31] Forrest N. Iandola,et al. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size , 2016, ArXiv.
[32] Wei Wu,et al. Practical Block-Wise Neural Network Architecture Generation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[33] Frank Hutter,et al. Simple And Efficient Architecture Search for Convolutional Neural Networks , 2017, ICLR.
[34] Li Fei-Fei,et al. Progressive Neural Architecture Search , 2017, ECCV.
[35] Wei Wei,et al. 2019 Formatting Instructions for Authors Using LaTeX , 2018 .
[36] Mark Sandler,et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[37] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).