Neural Architecture Search with Reinforcement Learning.

Articles citing Neural Architecture Search with Reinforcement Learning.

Title / Author	Year
Squeeze-and-excitation networks J Hu, L Shen, G Sun Proceedings of the IEEE conference on computer vision and pattern …	2018
Mobilenetv2: Inverted residuals and linear bottlenecks M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen Proceedings of the IEEE conference on computer vision and pattern …	2018
Learning transferable architectures for scalable image recognition B Zoph, V Vasudevan, J Shlens, QV Le Proceedings of the IEEE conference on computer vision and pattern …	2018
Efficientnet: Rethinking model scaling for convolutional neural networks M Tan, Q Le International Conference on Machine Learning, 6105-6114	2019
Darts: Differentiable architecture search H Liu, K Simonyan, Y Yang arXiv preprint arXiv:1806.09055	2018
Efficient neural architecture search via parameters sharing H Pham, M Guan, B Zoph, Q Le, J Dean International Conference on Machine Learning, 4095-4104	2018
Regularized evolution for image classifier architecture search E Real, A Aggarwal, Y Huang, QV Le Proceedings of the aaai conference on artificial intelligence 33 (01), 4780-4789	2019
Shufflenet v2: Practical guidelines for efficient cnn architecture design N Ma, X Zhang, HT Zheng, J Sun Proceedings of the European conference on computer vision (ECCV), 116-131	2018
Transformer-xl: Attentive language models beyond a fixed-length context Z Dai, Z Yang, Y Yang, J Carbonell, QV Le, R Salakhutdinov arXiv preprint arXiv:1901.02860	2019
Mnasnet: Platform-aware neural architecture search for mobile M Tan, B Chen, R Pang, V Vasudevan, M Sandler, A Howard, QV Le Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …	2019
Searching for activation functions P Ramachandran, B Zoph, QV Le arXiv preprint arXiv:1710.05941	2017
Progressive neural architecture search C Liu, B Zoph, M Neumann, J Shlens, W Hua, LJ Li, L Fei-Fei, A Yuille, ... Proceedings of the European conference on computer vision (ECCV), 19-34	2018
Learning efficient convolutional networks through network slimming Z Liu, J Li, Z Shen, G Huang, S Yan, C Zhang Proceedings of the IEEE international conference on computer vision, 2736-2744	2017
Large-scale evolution of image classifiers E Real, S Moore, A Selle, S Saxena, YL Suematsu, J Tan, QV Le, ... International Conference on Machine Learning, 2902-2911	2017
Searching for mobilenetv3 A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …	2019
Neural architecture search: A survey T Elsken, JH Metzen, F Hutter The Journal of Machine Learning Research 20 (1), 1997-2017	2019
Deep learning with convolutional neural networks for EEG decoding and visualization RT Schirrmeister, JT Springenberg, LDJ Fiederer, M Glasstetter, ... Human brain mapping 38 (11), 5391-5420	2017
Deep learning for generic object detection: A survey L Liu, W Ouyang, X Wang, P Fieguth, J Chen, X Liu, M Pietikäinen International journal of computer vision 128 (2), 261-318	2020
Deep reinforcement learning: A brief survey K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath IEEE Signal Processing Magazine 34 (6), 26-38	2017
Proxylessnas: Direct neural architecture search on target task and hardware H Cai, L Zhu, S Han arXiv preprint arXiv:1812.00332	2018

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