Literature on Neural Architecture Search

Maintained by Difan Deng and Marius Lindauer.

The following list considers papers related to neural architecture search. It is by no means complete. If you miss a paper on the list, please let us know.

Please note that although NAS methods steadily improve, the quality of empirical evaluations in this field are still lagging behind compared to other areas in machine learning, AI and optimization. We would therefore like to share some best practices for empirical evaluations of NAS methods, which we believe will facilitate sustained and measurable progress in the field. If you are interested in a teaser, please read our blog post or directly jump to our checklist.

1147 entries « ‹ 22 of 23 › »

2018
97.	Lindqvist, Blerta; Sugrim, Shridatt; Izmailov, Rauf AutoGAN: Robust Classifier Against Adversarial Attacks Technical Report 2018. Links \| BibTeX @techreport{Lindqvist2018_sqh, title = {AutoGAN: Robust Classifier Against Adversarial Attacks}, author = {Blerta Lindqvist and Shridatt Sugrim and Rauf Izmailov}, url = {https://link.springer.com/article/10.1007/s00500-020-05446-x}, year = {2018}, date = {2018-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://link.springer.com/article/10.1007/s00500-020-05446-x Close
96.	Sun, Man-Chin; Hsu, Shih-Huan; Yang, Min-Chun; Chien, Jen-Hsien Context-aware Cascade Attention-based RNN for Video Emotion Recognition Technical Report 2018. Links \| BibTeX @techreport{Sun2018_gep, title = {Context-aware Cascade Attention-based RNN for Video Emotion Recognition}, author = {Man-Chin Sun and Shih-Huan Hsu and Min-Chun Yang and Jen-Hsien Chien}, url = {http://users.cecs.anu.edu.au/~Tom.Gedeon/conf/ABCs2020/paper/ABCs2020_paper_v2_123.pdf}, year = {2018}, date = {2018-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close http://users.cecs.anu.edu.au/~Tom.Gedeon/conf/ABCs2020/paper/ABCs2020_paper_v2_1[...] Close
95.	Ritter, Hippolyt; Botev, Aleksandar; Barber, David Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting Technical Report 2018. Links \| BibTeX @techreport{Ritter2018_nko, title = {Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting}, author = {Hippolyt Ritter and Aleksandar Botev and David Barber}, url = {https://www.computer.org/csdl/journal/tp/5555/01/09247292/1oslcjvUdHi}, year = {2018}, date = {2018-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://www.computer.org/csdl/journal/tp/5555/01/09247292/1oslcjvUdHi Close
94.	Zhang, Honglei; Kiranyaz, Serkan; Gabbouj, Moncef Finding Better Topologies for Deep Convolutional Neural Networks by Evolution Technical Report 2018. Links \| BibTeX @techreport{Zhang2018_nhq, title = {Finding Better Topologies for Deep Convolutional Neural Networks by Evolution}, author = {Honglei Zhang and Serkan Kiranyaz and Moncef Gabbouj}, url = {https://ieeexplore.ieee.org/abstract/document/9201169}, year = {2018}, date = {2018-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://ieeexplore.ieee.org/abstract/document/9201169 Close
93.	Kandasamy, Kirthevasan; Neiswanger, Willie; Schneider, Jeff; Poczos, Barnabas; Xing, Eric Neural Architecture Search with Bayesian Optimisation and Optimal Transport Technical Report 2018. Links \| BibTeX @techreport{Kandasamy2018_skp, title = {Neural Architecture Search with Bayesian Optimisation and Optimal Transport}, author = {Kirthevasan Kandasamy and Willie Neiswanger and Jeff Schneider and Barnabas Poczos and Eric Xing}, url = {http://metalearning.ml/2019/papers/metalearn2019-white.pdf}, year = {2018}, date = {2018-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close http://metalearning.ml/2019/papers/metalearn2019-white.pdf Close
92.	Hamraz, Hamid; Jacobs, Nathan B; Contreras, Marco A; Clark, Chase H Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees Technical Report 2018. Links \| BibTeX @techreport{Hamraz2018_acx, title = {Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees}, author = {Hamid Hamraz and Nathan B Jacobs and Marco A Contreras and Chase H Clark}, url = {https://ieeexplore.ieee.org/abstract/document/9139215}, year = {2018}, date = {2018-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://ieeexplore.ieee.org/abstract/document/9139215 Close
91.	Perez-Rua, Juan-Manuel; Baccouche, Moez; Pateux, Stephane Efficient Progressive Neural Architecture Search Technical Report 2018. Links \| BibTeX @techreport{Perez-Rua2018_hpl, title = {Efficient Progressive Neural Architecture Search}, author = {Juan-Manuel Perez-Rua and Moez Baccouche and Stephane Pateux}, url = {https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=3871&context=doctoral_dissertations}, year = {2018}, date = {2018-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=3871&context=do[...] Close
90.	Deglint, Jason L; Jin, Chao; Chao, Angela; Wong, Alexander The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features Technical Report 2018. Links \| BibTeX @techreport{Deglint2018_qrq, title = {The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features}, author = {Jason L Deglint and Chao Jin and Angela Chao and Alexander Wong}, url = {https://www.sciencedirect.com/science/article/abs/pii/S0016003220302076}, year = {2018}, date = {2018-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://www.sciencedirect.com/science/article/abs/pii/S0016003220302076 Close
89.	Kamath, Purushotham; Singh, Abhishek; Dutta, Debo AMLA: an AutoML frAmework for Neural Network Design Technical Report 2018. Links \| BibTeX @techreport{Kamath2018_emu, title = {AMLA: an AutoML frAmework for Neural Network Design}, author = {Purushotham Kamath and Abhishek Singh and Debo Dutta}, url = {http://pkamath.com/publications/papers/amla_automl18.pdf}, year = {2018}, date = {2018-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close http://pkamath.com/publications/papers/amla_automl18.pdf Close
88.	de Laroussilhe, Quentin; Jastrzebski, Stanislaw; Houlsby, Neil; Gesmundo, Andrea Neural Architecture Search Over a Graph Search Space Technical Report , 2018. Links \| BibTeX @techreport{Laroussilhe2018_oaa, title = {Neural Architecture Search Over a Graph Search Space}, author = {Quentin de Laroussilhe and Stanislaw Jastrzebski and Neil Houlsby and Andrea Gesmundo}, url = {https://arxiv.org/abs/1812.10666}, year = {2018}, date = {2018-01-01}, volume = {abs/1812.10666}, key = {journals/corr/abs-1812-10666}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1812.10666 Close
87.	Jaâfra, Yesmina; Laurent, Jean Luc; Deruyver, Aline; Naceur, Mohamed Saber A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search Technical Report , 2018. Links \| BibTeX @techreport{Jaâfra2018_pka, title = {A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search}, author = {Yesmina Jaâfra and Jean Luc Laurent and Aline Deruyver and Mohamed Saber Naceur}, url = {https://arxiv.org/abs/1812.07995}, year = {2018}, date = {2018-01-01}, volume = {abs/1812.07995}, key = {journals/corr/abs-1812-07995}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1812.07995 Close
86.	Wu, Bichen; Wang, Yanghan; Zhang, Peizhao; Tian, Yuandong; Vajda, Peter; Keutzer, Kurt Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search Technical Report , 2018. Links \| BibTeX @techreport{Wu2018_fph, title = {Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search}, author = {Bichen Wu and Yanghan Wang and Peizhao Zhang and Yuandong Tian and Peter Vajda and Kurt Keutzer}, url = {https://arxiv.org/abs/1812.00090}, year = {2018}, date = {2018-01-01}, volume = {abs/1812.00090}, key = {journals/corr/abs-1812-00090}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1812.00090 Close
85.	Wang, Bin; Sun, Yanan; Xue, Bing; Zhang, Mengjie Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification Inproceedings pp. 1-8, 2018. Links \| BibTeX @inproceedings{Wang2018_qll, title = {Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification}, author = {Bin Wang and Yanan Sun and Bing Xue and Mengjie Zhang}, url = {https://arxiv.org/abs/1803.06492}, doi = {10.1109/CEC.2018.8477735}, year = {2018}, date = {2018-01-01}, pages = {1-8}, key = {conf/cec/WangSXZ18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1803.06492 doi:10.1109/CEC.2018.8477735 Close
84.	Wang, Bin; Sun, Yanan; Xue, Bing; Zhang, Mengjie A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification Inproceedings pp. 237-250, 2018. Links \| BibTeX @inproceedings{Wang2018_pkd, title = {A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification}, author = {Bin Wang and Yanan Sun and Bing Xue and Mengjie Zhang}, url = {https://arxiv.org/abs/1808.06661}, doi = {10.1007/978-3-030-03991-2_24}, year = {2018}, date = {2018-01-01}, pages = {237-250}, key = {conf/ausai/WangSXZ18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1808.06661 doi:10.1007/978-3-030-03991-2_24 Close
83.	Maziarz, Krzysztof; Khorlin, Andrey; de Laroussilhe, Quentin; Gesmundo, Andrea Evolutionary-Neural Hybrid Agents for Architecture Search Technical Report , 2018. Links \| BibTeX @techreport{Maziarz2018_rch, title = {Evolutionary-Neural Hybrid Agents for Architecture Search}, author = {Krzysztof Maziarz and Andrey Khorlin and Quentin de Laroussilhe and Andrea Gesmundo}, url = {https://arxiv.org/abs/1811.09828}, year = {2018}, date = {2018-01-01}, volume = {abs/1811.09828}, key = {journals/corr/abs-1811-09828}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1811.09828 Close
82.	Chen, Yukang; Meng, Gaofeng; Zhang, Qian; Zhang, Xinbang; Song, Liangchen; Xiang, Shiming; Pan, Chunhong Joint Neural Architecture Search and Quantization Technical Report , 2018. Links \| BibTeX @techreport{Chen2018_naj, title = {Joint Neural Architecture Search and Quantization}, author = {Yukang Chen and Gaofeng Meng and Qian Zhang and Xinbang Zhang and Liangchen Song and Shiming Xiang and Chunhong Pan}, url = {https://arxiv.org/abs/1811.09426}, year = {2018}, date = {2018-01-01}, volume = {abs/1811.09426}, key = {journals/corr/abs-1811-09426}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1811.09426 Close
81.	Wong, Catherine; Houlsby, Neil; Lu, Yifeng; Gesmundo, Andrea Transfer Learning with Neural AutoML Inproceedings pp. 8366-8375, 2018. Links \| BibTeX @inproceedings{Wong2018_srb, title = {Transfer Learning with Neural AutoML}, author = {Catherine Wong and Neil Houlsby and Yifeng Lu and Andrea Gesmundo}, url = {http://papers.nips.cc/paper/8056-transfer-learning-with-neural-automl.pdf}, year = {2018}, date = {2018-01-01}, pages = {8366-8375}, key = {conf/nips/WongHLG18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close http://papers.nips.cc/paper/8056-transfer-learning-with-neural-automl.pdf Close
80.	Fielding, Ben; Zhang, Li Evolving Image Classification Architectures With Enhanced Particle Swarm Optimisation Journal Article 6 , pp. 68560-68575, 2018. Links \| BibTeX @article{Fielding2018_zpu, title = {Evolving Image Classification Architectures With Enhanced Particle Swarm Optimisation}, author = {Ben Fielding and Li Zhang}, url = {https://ieeexplore.ieee.org/document/8533601}, doi = {10.1109/ACCESS.2018.2880416}, year = {2018}, date = {2018-01-01}, volume = {6}, pages = {68560-68575}, key = {journals/access/FieldingZ18}, keywords = {}, pubstate = {published}, tppubtype = {article} } Close https://ieeexplore.ieee.org/document/8533601 doi:10.1109/ACCESS.2018.2880416 Close
79.	Lu, Zhichao; Whalen, Ian; Boddeti, Vishnu; Dhebar, Yashesh D; Deb, Kalyanmoy; Goodman, Erik D; Banzhaf, Wolfgang NSGA-NET - A Multi-Objective Genetic Algorithm for Neural Architecture Search Technical Report , 2018. Links \| BibTeX @techreport{Lu2018_izw, title = {NSGA-NET - A Multi-Objective Genetic Algorithm for Neural Architecture Search}, author = {Zhichao Lu and Ian Whalen and Vishnu Boddeti and Yashesh D Dhebar and Kalyanmoy Deb and Erik D Goodman and Wolfgang Banzhaf}, url = {https://arxiv.org/abs/1810.03522}, year = {2018}, date = {2018-01-01}, volume = {abs/1810.03522}, key = {journals/corr/abs-1810-03522}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1810.03522 Close
78.	Zhang, Xinbang; Huang, Zehao; Wang, Naiyan You Only Search Once - Single Shot Neural Architecture Search via Direct Sparse Optimization Technical Report , 2018. Links \| BibTeX @techreport{Zhang2018_xmy, title = {You Only Search Once - Single Shot Neural Architecture Search via Direct Sparse Optimization}, author = {Xinbang Zhang and Zehao Huang and Naiyan Wang}, url = {https://arxiv.org/abs/1811.01567}, year = {2018}, date = {2018-01-01}, volume = {abs/1811.01567}, key = {journals/corr/abs-1811-01567}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1811.01567 Close
77.	Sun, Yanan; Xue, Bing; Zhang, Mengjie Automatically Evolving CNN Architectures Based on Blocks Technical Report , 2018. Links \| BibTeX @techreport{Sun2018_vwi, title = {Automatically Evolving CNN Architectures Based on Blocks}, author = {Yanan Sun and Bing Xue and Mengjie Zhang}, url = {https://arxiv.org/abs/1810.11875}, year = {2018}, date = {2018-01-01}, volume = {abs/1810.11875}, key = {journals/corr/abs-1810-11875}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1810.11875 Close
76.	Mitschke, Norbert; Heizmann, Michael; Noffz, Klaus-Henning; Wittmann, Ralf Gradient Based Evolution to Optimize the Structure of Convolutional Neural Networks Inproceedings pp. 3438-3442, 2018. Links \| BibTeX @inproceedings{Mitschke2018_pxj, title = {Gradient Based Evolution to Optimize the Structure of Convolutional Neural Networks}, author = {Norbert Mitschke and Michael Heizmann and Klaus-Henning Noffz and Ralf Wittmann}, url = {https://ieeexplore.ieee.org/document/8451394}, doi = {10.1109/ICIP.2018.8451394}, year = {2018}, date = {2018-01-01}, pages = {3438-3442}, key = {conf/icip/MitschkeHNW18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://ieeexplore.ieee.org/document/8451394 doi:10.1109/ICIP.2018.8451394 Close
75.	Cheng, An-Chieh; Dong, Jin-Dong; Hsu, Chi-Hung; Chang, Shu-Huan; Sun, Min; Chang, Shih-Chieh; Pan, Jia-Yu; Chen, Yu-Ting; Wei, Wei; Juan, Da-Cheng Searching toward pareto-optimal device-aware neural architectures Inproceedings pp. 136, 2018. Links \| BibTeX @inproceedings{Cheng2018_xlc, title = {Searching toward pareto-optimal device-aware neural architectures}, author = {An-Chieh Cheng and Jin-Dong Dong and Chi-Hung Hsu and Shu-Huan Chang and Min Sun and Shih-Chieh Chang and Jia-Yu Pan and Yu-Ting Chen and Wei Wei and Da-Cheng Juan}, url = {https://arxiv.org/abs/1808.09830}, doi = {10.1145/3240765.3243494}, year = {2018}, date = {2018-01-01}, pages = {136}, key = {conf/iccad/ChengDHCSCPCWJ18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1808.09830 doi:10.1145/3240765.3243494 Close
74.	Chen, Junkun; Chen, Kaiyu; Chen, Xinchi; Qiu, Xipeng; Huang, Xuanjing Exploring Shared Structures and Hierarchies for Multiple NLP Tasks Technical Report , 2018. Links \| BibTeX @techreport{Chen2018_nlw, title = {Exploring Shared Structures and Hierarchies for Multiple NLP Tasks}, author = {Junkun Chen and Kaiyu Chen and Xinchi Chen and Xipeng Qiu and Xuanjing Huang}, url = {https://arxiv.org/abs/1808.07658}, year = {2018}, date = {2018-01-01}, volume = {abs/1808.07658}, key = {journals/corr/abs-1808-07658}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1808.07658 Close
73.	Zhong, Zhao; Yang, Zichen; Deng, Boyang; Yan, Junjie; Wu, Wei; Shao, Jing; Liu, Cheng-Lin BlockQNN - Efficient Block-wise Neural Network Architecture Generation Technical Report , 2018. Links \| BibTeX @techreport{Zhong2018_mlu, title = {BlockQNN - Efficient Block-wise Neural Network Architecture Generation}, author = {Zhao Zhong and Zichen Yang and Boyang Deng and Junjie Yan and Wei Wu and Jing Shao and Cheng-Lin Liu}, url = {https://arxiv.org/abs/1808.05584}, year = {2018}, date = {2018-01-01}, volume = {abs/1808.05584}, key = {journals/corr/abs-1808-05584}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1808.05584 Close
72.	Zela, Arber; Klein, Aaron; Falkner, Stefan; Hutter, Frank Towards Automated Deep Learning - Efficient Joint Neural Architecture and Hyperparameter Search Technical Report , 2018. Links \| BibTeX @techreport{Zela2018_ipg, title = {Towards Automated Deep Learning - Efficient Joint Neural Architecture and Hyperparameter Search}, author = {Arber Zela and Aaron Klein and Stefan Falkner and Frank Hutter}, url = {https://arxiv.org/abs/1807.06906}, year = {2018}, date = {2018-01-01}, volume = {abs/1807.06906}, key = {journals/corr/abs-1807-06906}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1807.06906 Close
71.	Mortazi, Aliasghar; Bagci, Ulas Automatically Designing CNN Architectures for Medical Image Segmentation Inproceedings pp. 98-106, 2018. Links \| BibTeX @inproceedings{Mortazi2018_fdz, title = {Automatically Designing CNN Architectures for Medical Image Segmentation}, author = {Aliasghar Mortazi and Ulas Bagci}, url = {https://arxiv.org/abs/1807.07663v1}, doi = {10.1007/978-3-030-00919-9_12}, year = {2018}, date = {2018-01-01}, pages = {98-106}, key = {conf/miccai/MortaziB18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1807.07663v1 doi:10.1007/978-3-030-00919-9_12 Close
70.	Hsu, Chi-Hung; Chang, Shu-Huan; Juan, Da-Cheng; Pan, Jia-Yu; Chen, Yu-Ting; Wei, Wei; Chang, Shih-Chieh MONAS - Multi-Objective Neural Architecture Search using Reinforcement Learning Technical Report , 2018. Links \| BibTeX @techreport{Hsu2018_frh, title = {MONAS - Multi-Objective Neural Architecture Search using Reinforcement Learning}, author = {Chi-Hung Hsu and Shu-Huan Chang and Da-Cheng Juan and Jia-Yu Pan and Yu-Ting Chen and Wei Wei and Shih-Chieh Chang}, url = {https://arxiv.org/abs/1806.10332}, year = {2018}, date = {2018-01-01}, volume = {abs/1806.10332}, key = {journals/corr/abs-1806-10332}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1806.10332 Close
69.	Cai, Han; Yang, Jiacheng; Zhang, Weinan; Han, Song; Yu, Yong Path-Level Network Transformation for Efficient Architecture Search Inproceedings pp. 677-686, 2018. Links \| BibTeX @inproceedings{Cai2018_txr, title = {Path-Level Network Transformation for Efficient Architecture Search}, author = {Han Cai and Jiacheng Yang and Weinan Zhang and Song Han and Yong Yu}, url = {https://arxiv.org/abs/1806.02639}, year = {2018}, date = {2018-01-01}, pages = {677-686}, key = {conf/icml/CaiYZHY18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1806.02639 Close
68.	Prellberg, Jonas; Kramer, Oliver Lamarckian Evolution of Convolutional Neural Networks Inproceedings pp. 424-435, 2018. Links \| BibTeX @inproceedings{Prellberg2018_iay, title = {Lamarckian Evolution of Convolutional Neural Networks}, author = {Jonas Prellberg and Oliver Kramer}, url = {https://arxiv.org/abs/1806.08099}, doi = {10.1007/978-3-319-99259-4_34}, year = {2018}, date = {2018-01-01}, pages = {424-435}, key = {conf/ppsn/PrellbergK18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1806.08099 doi:10.1007/978-3-319-99259-4_34 Close
67.	Wistuba, Martin Deep Learning Architecture Search by Neuro-Cell-Based Evolution with Function-Preserving Mutations Inproceedings pp. 243-258, 2018. Links \| BibTeX @inproceedings{Wistuba2018_hcv, title = {Deep Learning Architecture Search by Neuro-Cell-Based Evolution with Function-Preserving Mutations}, author = {Martin Wistuba}, url = {http://www.ecmlpkdd2018.org/wp-content/uploads/2018/09/108.pdf}, doi = {10.1007/978-3-030-10928-8_15}, year = {2018}, date = {2018-01-01}, pages = {243-258}, key = {conf/pkdd/Wistuba18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close http://www.ecmlpkdd2018.org/wp-content/uploads/2018/09/108.pdf doi:10.1007/978-3-030-10928-8_15 Close
66.	Rohekar, Raanan Yehezkel Y; Nisimov, Shami; Gurwicz, Yaniv; Koren, Guy; Novik, Gal Constructing Deep Neural Networks by Bayesian Network Structure Learning Inproceedings pp. 3051-3062, 2018. Links \| BibTeX @inproceedings{Rohekar2018_tud, title = {Constructing Deep Neural Networks by Bayesian Network Structure Learning}, author = {Raanan Yehezkel Y Rohekar and Shami Nisimov and Yaniv Gurwicz and Guy Koren and Gal Novik}, url = {https://arxiv.org/abs/1806.09141}, year = {2018}, date = {2018-01-01}, pages = {3051-3062}, key = {conf/nips/RohekarNGKN18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1806.09141 Close
65.	Jin, Haifeng; Song, Qingquan; Hu, Xia Efficient Neural Architecture Search with Network Morphism Technical Report , 2018. Links \| BibTeX @techreport{Jin2018_qdx, title = {Efficient Neural Architecture Search with Network Morphism}, author = {Haifeng Jin and Qingquan Song and Xia Hu}, url = {https://arxiv.org/abs/1806.10282}, year = {2018}, date = {2018-01-01}, volume = {abs/1806.10282}, key = {journals/corr/abs-1806-10282}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1806.10282 Close
64.	Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank Multi-objective Architecture Search for CNNs Technical Report , 2018. Links \| BibTeX @techreport{Elsken2018_fop, title = {Multi-objective Architecture Search for CNNs}, author = {Thomas Elsken and Jan Hendrik Metzen and Frank Hutter}, url = {https://arxiv.org/abs/1804.09081}, year = {2018}, date = {2018-01-01}, volume = {abs/1804.09081}, key = {journals/corr/abs-1804-09081}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1804.09081 Close
63.	Huang, Siyu; Li, Xi; Cheng, Zhiqi; Zhang, Zhongfei; Hauptmann, Alexander G GNAS - A Greedy Neural Architecture Search Method for Multi-Attribute Learning Inproceedings pp. 2049-2057, 2018. Links \| BibTeX @inproceedings{Huang2018_zks, title = {GNAS - A Greedy Neural Architecture Search Method for Multi-Attribute Learning}, author = {Siyu Huang and Xi Li and Zhiqi Cheng and Zhongfei Zhang and Alexander G Hauptmann}, url = {https://arxiv.org/abs/1804.06964}, doi = {10.1145/3240508.3240588}, year = {2018}, date = {2018-01-01}, pages = {2049-2057}, key = {conf/mm/HuangLCZH18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1804.06964 doi:10.1145/3240508.3240588 Close
62.	Liang, Jason Zhi; Meyerson, Elliot; Miikkulainen, Risto Evolutionary architecture search for deep multitask networks Inproceedings pp. 466-473, 2018. Links \| BibTeX @inproceedings{Liang2018_fyx, title = {Evolutionary architecture search for deep multitask networks}, author = {Jason Zhi Liang and Elliot Meyerson and Risto Miikkulainen}, url = {https://arxiv.org/abs/1803.03745}, doi = {10.1145/3205455.3205489}, year = {2018}, date = {2018-01-01}, pages = {466-473}, key = {conf/gecco/LiangMM18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1803.03745 doi:10.1145/3205455.3205489 Close
61.	Rawal, Aditya; Miikkulainen, Risto From Nodes to Networks - Evolving Recurrent Neural Networks Technical Report , 2018. Links \| BibTeX @techreport{Rawal2018_mgh, title = {From Nodes to Networks - Evolving Recurrent Neural Networks}, author = {Aditya Rawal and Risto Miikkulainen}, url = {https://arxiv.org/abs/1803.04439}, year = {2018}, date = {2018-01-01}, volume = {abs/1803.04439}, key = {journals/corr/abs-1803-04439}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1803.04439 Close
60.	Kamath, Purushotham; Singh, Abhishek; Dutta, Debo Neural Architecture Construction using EnvelopeNets Technical Report , 2018. Links \| BibTeX @techreport{Kamath2018_eml, title = {Neural Architecture Construction using EnvelopeNets}, author = {Purushotham Kamath and Abhishek Singh and Debo Dutta}, url = {https://arxiv.org/abs/1803.06744}, year = {2018}, date = {2018-01-01}, volume = {abs/1803.06744}, key = {journals/corr/abs-1803-06744}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1803.06744 Close
59.	Wong, Catherine; Houlsby, Neil; Lu, Yifeng; Gesmundo, Andrea Transfer Automatic Machine Learning Technical Report , 2018. Links \| BibTeX @techreport{Wong2018_uaa, title = {Transfer Automatic Machine Learning}, author = {Catherine Wong and Neil Houlsby and Yifeng Lu and Andrea Gesmundo}, url = {https://arxiv.org/abs/1803.02780}, year = {2018}, date = {2018-01-01}, volume = {abs/1803.02780}, key = {journals/corr/abs-1803-02780}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1803.02780 Close
58.	Kandasamy, Kirthevasan; Neiswanger, Willie; Schneider, Jeff; Póczos, Barnabás; Xing, Eric P Neural Architecture Search with Bayesian Optimisation and Optimal Transport Inproceedings pp. 2020-2029, 2018. Links \| BibTeX @inproceedings{Kandasamy2018_jxq, title = {Neural Architecture Search with Bayesian Optimisation and Optimal Transport}, author = {Kirthevasan Kandasamy and Willie Neiswanger and Jeff Schneider and Barnabás Póczos and Eric P Xing}, url = {https://arxiv.org/abs/1802.07191}, year = {2018}, date = {2018-01-01}, pages = {2020-2029}, key = {conf/nips/KandasamyNSPX18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1802.07191 Close
57.	Pham, Hieu; Guan, Melody Y; Zoph, Barret; Le, Quoc V; Dean, Jeff Efficient Neural Architecture Search via Parameter Sharing Inproceedings pp. 4092-4101, 2018. Links \| BibTeX @inproceedings{Pham2018_ilh, title = {Efficient Neural Architecture Search via Parameter Sharing}, author = {Hieu Pham and Melody Y Guan and Barret Zoph and Quoc V Le and Jeff Dean}, url = {https://arxiv.org/abs/1802.03268}, year = {2018}, date = {2018-01-01}, pages = {4092-4101}, key = {conf/icml/PhamGZLD18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1802.03268 Close
56.	Dutta, Jayanta K; Liu, Jiayi; Kurup, Unmesh; Shah, Mohak Effective Building Block Design for Deep Convolutional Neural Networks using Search Technical Report , 2018. Links \| BibTeX @techreport{Dutta2018_abs, title = {Effective Building Block Design for Deep Convolutional Neural Networks using Search}, author = {Jayanta K Dutta and Jiayi Liu and Unmesh Kurup and Mohak Shah}, url = {https://arxiv.org/abs/1801.08577}, year = {2018}, date = {2018-01-01}, volume = {abs/1801.08577}, key = {journals/corr/abs-1801-08577}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1801.08577 Close
55.	Wang, Jiazhuo; Xu, Jason; Wang, Xuejun Combination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning Technical Report , 2018. Links \| BibTeX @techreport{Wang2018_vqf, title = {Combination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning}, author = {Jiazhuo Wang and Jason Xu and Xuejun Wang}, url = {https://arxiv.org/abs/1801.01596}, year = {2018}, date = {2018-01-01}, volume = {abs/1801.01596}, key = {journals/corr/abs-1801-01596}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1801.01596 Close
54.	Lorenzo, Pablo Ribalta; Nalepa, Jakub Memetic evolution of deep neural networks Inproceedings pp. 505-512, 2018. Links \| BibTeX @inproceedings{Lorenzo2018_jsz, title = {Memetic evolution of deep neural networks}, author = {Pablo Ribalta Lorenzo and Jakub Nalepa}, url = {https://dl.acm.org/citation.cfm?id=3205631}, doi = {10.1145/3205455.3205631}, year = {2018}, date = {2018-01-01}, pages = {505-512}, key = {conf/gecco/LorenzoN18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://dl.acm.org/citation.cfm?id=3205631 doi:10.1145/3205455.3205631 Close
53.	Bender, Gabriel; Kindermans, Pieter-Jan; Zoph, Barret; Vasudevan, Vijay; Le, Quoc V Understanding and Simplifying One-Shot Architecture Search Inproceedings pp. 549-558, 2018. Links \| BibTeX @inproceedings{Bender2018_ozr, title = {Understanding and Simplifying One-Shot Architecture Search}, author = {Gabriel Bender and Pieter-Jan Kindermans and Barret Zoph and Vijay Vasudevan and Quoc V Le}, url = {http://proceedings.mlr.press/v80/bender18a/bender18a.pdf}, year = {2018}, date = {2018-01-01}, pages = {549-558}, key = {conf/icml/BenderKZVL18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close http://proceedings.mlr.press/v80/bender18a/bender18a.pdf Close
52.	Dong, Jin-Dong; Cheng, An-Chieh; Juan, Da-Cheng; Wei, Wei; Sun, Min PPP-Net - Platform-aware Progressive Search for Pareto-optimal Neural Architectures Inproceedings 2018. Links \| BibTeX @inproceedings{Dong2018_arf, title = {PPP-Net - Platform-aware Progressive Search for Pareto-optimal Neural Architectures}, author = {Jin-Dong Dong and An-Chieh Cheng and Da-Cheng Juan and Wei Wei and Min Sun}, url = {https://openreview.net/pdf?id=B1NT3TAIM}, year = {2018}, date = {2018-01-01}, key = {conf/iclr/DongCJWS18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://openreview.net/pdf?id=B1NT3TAIM Close
51.	Hinz, Tobias; Navarro-Guerrero, Nicolás; Magg, Sven; Wermter, Stefan Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks Journal Article 17 (2), pp. 1850008:1-1850008:15, 2018. Links \| BibTeX @article{Hinz2018_noc, title = {Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks}, author = {Tobias Hinz and Nicolás Navarro-Guerrero and Sven Magg and Stefan Wermter}, url = {https://www.worldscientific.com/doi/abs/10.1142/S1469026818500086}, doi = {10.1142/S1469026818500086}, year = {2018}, date = {2018-01-01}, volume = {17}, number = {2}, pages = {1850008:1-1850008:15}, key = {journals/ijcia/HinzNMW18}, keywords = {}, pubstate = {published}, tppubtype = {article} } Close https://www.worldscientific.com/doi/abs/10.1142/S1469026818500086 doi:10.1142/S1469026818500086 Close
50.	Bennani-Smires, Kamil; Musat, Claudiu; Hossmann, Andreea; Baeriswyl, Michael GitGraph - from Computational Subgraphs to Smaller Architecture Search Spaces Inproceedings 2018. Links \| BibTeX @inproceedings{Bennani-Smires2018_sji, title = {GitGraph - from Computational Subgraphs to Smaller Architecture Search Spaces}, author = {Kamil Bennani-Smires and Claudiu Musat and Andreea Hossmann and Michael Baeriswyl}, url = {https://openreview.net/pdf?id=rkiO1_1Pz}, year = {2018}, date = {2018-01-01}, key = {conf/iclr/Bennani-SmiresM18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://openreview.net/pdf?id=rkiO1_1Pz Close
49.	Ashok, Anubhav; Rhinehart, Nicholas; Beainy, Fares; Kitani, Kris M N2N learning - Network to Network Compression via Policy Gradient Reinforcement Learning Inproceedings 2018. Links \| BibTeX @inproceedings{Ashok2018_wmj, title = {N2N learning - Network to Network Compression via Policy Gradient Reinforcement Learning}, author = {Anubhav Ashok and Nicholas Rhinehart and Fares Beainy and Kris M Kitani}, url = {https://arxiv.org/abs/1709.06030}, year = {2018}, date = {2018-01-01}, key = {conf/iclr/AshokRBK18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1709.06030 Close
48.	Gordon, Ariel; Eban, Elad; Nachum, Ofir; Chen, Bo; Wu, Hao; Yang, Tien-Ju; Choi, Edward MorphNet - Fast & Simple Resource-Constrained Structure Learning of Deep Networks Inproceedings pp. 1586-1595, 2018. Links \| BibTeX @inproceedings{Gordon2018_urg, title = {MorphNet - Fast & Simple Resource-Constrained Structure Learning of Deep Networks}, author = {Ariel Gordon and Elad Eban and Ofir Nachum and Bo Chen and Hao Wu and Tien-Ju Yang and Edward Choi}, url = {https://arxiv.org/abs/1711.06798}, doi = {10.1109/CVPR.2018.00171}, year = {2018}, date = {2018-01-01}, pages = {1586-1595}, key = {conf/cvpr/GordonENCWYC18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1711.06798 doi:10.1109/CVPR.2018.00171 Close

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Literature on Neural Architecture Search

2018