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.

1046 entries « ‹ 21 of 21 › »

2018
46.	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
45.	Ahmed, Karim; Torresani, Lorenzo MaskConnect - Connectivity Learning by Gradient Descent Inproceedings pp. 362-378, 2018. Links \| BibTeX @inproceedings{Ahmed2018_ggt, title = {MaskConnect - Connectivity Learning by Gradient Descent}, author = {Karim Ahmed and Lorenzo Torresani}, url = {https://128.84.21.199/abs/1807.11473}, doi = {10.1007/978-3-030-01228-1_22}, year = {2018}, date = {2018-01-01}, pages = {362-378}, key = {conf/eccv/AhmedT18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://128.84.21.199/abs/1807.11473 doi:10.1007/978-3-030-01228-1_22 Close
44.	Schrimpf, Martin; Merity, Stephen; Bradbury, James; Socher, Richard A Flexible Approach to Automated RNN Architecture Generation Inproceedings 2018. Links \| BibTeX @inproceedings{Schrimpf2018_gxm, title = {A Flexible Approach to Automated RNN Architecture Generation}, author = {Martin Schrimpf and Stephen Merity and James Bradbury and Richard Socher}, url = {https://arxiv.org/abs/1712.07316}, year = {2018}, date = {2018-01-01}, key = {conf/iclr/SchrimpfM0S18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1712.07316 Close
43.	Suganuma, Masanori; Shirakawa, Shinichi; Nagao, Tomoharu A Genetic Programming Approach to Designing Convolutional Neural Network Architectures Inproceedings pp. 5369-5373, 2018. Links \| BibTeX @inproceedings{Suganuma2018_dia, title = {A Genetic Programming Approach to Designing Convolutional Neural Network Architectures}, author = {Masanori Suganuma and Shinichi Shirakawa and Tomoharu Nagao}, url = {https://arxiv.org/abs/1704.00764}, doi = {10.24963/IJCAI.2018/755}, year = {2018}, date = {2018-01-01}, pages = {5369-5373}, key = {conf/ijcai/SuganumaSN18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1704.00764 doi:10.24963/IJCAI.2018/755 Close
42.	Zhong, Zhao; Yan, Junjie; Wu, Wei; Shao, Jing; Liu, Cheng-Lin Practical Block-Wise Neural Network Architecture Generation Inproceedings pp. 2423-2432, 2018. Links \| BibTeX @inproceedings{Zhong2018_fwn, title = {Practical Block-Wise Neural Network Architecture Generation}, author = {Zhao Zhong and Junjie Yan and Wei Wu and Jing Shao and Cheng-Lin Liu}, url = {https://arxiv.org/abs/1708.05552}, doi = {10.1109/CVPR.2018.00257}, year = {2018}, date = {2018-01-01}, pages = {2423-2432}, key = {conf/cvpr/ZhongYWSL18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1708.05552 doi:10.1109/CVPR.2018.00257 Close
41.	Baker, Bowen; Gupta, Otkrist; Raskar, Ramesh; Naik, Nikhil Accelerating Neural Architecture Search using Performance Prediction Inproceedings 2018. Links \| BibTeX @inproceedings{Baker2018_glu, title = {Accelerating Neural Architecture Search using Performance Prediction}, author = {Bowen Baker and Otkrist Gupta and Ramesh Raskar and Nikhil Naik}, url = {https://arxiv.org/abs/1705.10823}, year = {2018}, date = {2018-01-01}, key = {conf/iclr/BakerGRN18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1705.10823 Close
40.	Liu, Hanxiao; Simonyan, Karen; Vinyals, Oriol; Fernando, Chrisantha; Kavukcuoglu, Koray Hierarchical Representations for Efficient Architecture Search Inproceedings 2018. Links \| BibTeX @inproceedings{Liu2018_whp, title = {Hierarchical Representations for Efficient Architecture Search}, author = {Hanxiao Liu and Karen Simonyan and Oriol Vinyals and Chrisantha Fernando and Koray Kavukcuoglu}, url = {https://arxiv.org/abs/1711.00436}, year = {2018}, date = {2018-01-01}, key = {conf/iclr/LiuSVFK18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1711.00436 Close
39.	Zoph, Barret; Vasudevan, Vijay; Shlens, Jonathon; Le, Quoc V Learning Transferable Architectures for Scalable Image Recognition Inproceedings pp. 8697-8710, 2018. Links \| BibTeX @inproceedings{Zoph2018_yhp, title = {Learning Transferable Architectures for Scalable Image Recognition}, author = {Barret Zoph and Vijay Vasudevan and Jonathon Shlens and Quoc V Le}, url = {https://arxiv.org/abs/1707.07012}, doi = {10.1109/CVPR.2018.00907}, year = {2018}, date = {2018-01-01}, pages = {8697-8710}, key = {conf/cvpr/ZophVSL18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1707.07012 doi:10.1109/CVPR.2018.00907 Close
38.	Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank Simple and efficient architecture search for Convolutional Neural Networks Inproceedings 2018. Links \| BibTeX @inproceedings{Elsken2018_bdj, title = {Simple and efficient architecture search for Convolutional Neural Networks}, author = {Thomas Elsken and Jan Hendrik Metzen and Frank Hutter}, url = {https://arxiv.org/abs/1711.04528}, year = {2018}, date = {2018-01-01}, key = {conf/iclr/ElskenMH18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1711.04528 Close
37.	Hazan, Elad; Klivans, Adam R; Yuan, Yang Hyperparameter optimization - a spectral approach Inproceedings 2018. Links \| BibTeX @inproceedings{Hazan2018_vxj, title = {Hyperparameter optimization - a spectral approach}, author = {Elad Hazan and Adam R Klivans and Yang Yuan}, url = {https://arxiv.org/abs/1706.00764}, year = {2018}, date = {2018-01-01}, key = {conf/iclr/HazanKY18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1706.00764 Close
36.	Brock, Andrew; Lim, Theodore; Ritchie, James M; Weston, Nick SMASH - One-Shot Model Architecture Search through HyperNetworks Inproceedings 2018. Links \| BibTeX @inproceedings{Brock2018_pyn, title = {SMASH - One-Shot Model Architecture Search through HyperNetworks}, author = {Andrew Brock and Theodore Lim and James M Ritchie and Nick Weston}, url = {https://arxiv.org/abs/1708.05344}, year = {2018}, date = {2018-01-01}, key = {conf/iclr/BrockLRW18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1708.05344 Close
35.	Cai, Han; Chen, Tianyao; Zhang, Weinan; Yu, Yong; Wang, Jun Efficient Architecture Search by Network Transformation Inproceedings pp. 2787-2794, 2018. Links \| BibTeX @inproceedings{Cai2018_lah, title = {Efficient Architecture Search by Network Transformation}, author = {Han Cai and Tianyao Chen and Weinan Zhang and Yong Yu and Jun Wang}, url = {https://arxiv.org/abs/1707.04873}, year = {2018}, date = {2018-01-01}, pages = {2787-2794}, key = {conf/aaai/CaiCZYW18}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1707.04873 Close
2017
34.	Sun, Yanan; Xue, Bing; Zhang, Mengjie A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification Technical Report , 2017. Links \| BibTeX @techreport{Sun2017_mvr, title = {A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification}, author = {Yanan Sun and Bing Xue and Mengjie Zhang}, url = {https://arxiv.org/abs/1712.05042}, year = {2017}, date = {2017-01-01}, volume = {abs/1712.05042}, key = {journals/corr/abs-1712-05042}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1712.05042 Close
33.	Negrinho, Renato; Gordon, Geoffrey J DeepArchitect - Automatically Designing and Training Deep Architectures Technical Report , 2017. Links \| BibTeX @techreport{Negrinho2017_fur, title = {DeepArchitect - Automatically Designing and Training Deep Architectures}, author = {Renato Negrinho and Geoffrey J Gordon}, url = {https://arxiv.org/abs/1704.08792}, year = {2017}, date = {2017-01-01}, volume = {abs/1704.08792}, key = {journals/corr/NegrinhoG17}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1704.08792 Close
32.	Real, Esteban; Moore, Sherry; Selle, Andrew; Saxena, Saurabh; Suematsu, Yutaka Leon; Tan, Jie; Le, Quoc V; Kurakin, Alexey Large-Scale Evolution of Image Classifiers Inproceedings pp. 2902-2911, 2017. Links \| BibTeX @inproceedings{Real2017_qek, title = {Large-Scale Evolution of Image Classifiers}, author = {Esteban Real and Sherry Moore and Andrew Selle and Saurabh Saxena and Yutaka Leon Suematsu and Jie Tan and Quoc V Le and Alexey Kurakin}, url = {https://arxiv.org/abs/1703.01041}, year = {2017}, date = {2017-01-01}, pages = {2902-2911}, key = {conf/icml/RealMSSSTLK17}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1703.01041 Close
31.	Bello, Irwan; Zoph, Barret; Vasudevan, Vijay; Le, Quoc V Neural Optimizer Search with Reinforcement Learning Inproceedings pp. 459-468, 2017. Links \| BibTeX @inproceedings{Bello2017_pnz, title = {Neural Optimizer Search with Reinforcement Learning}, author = {Irwan Bello and Barret Zoph and Vijay Vasudevan and Quoc V Le}, url = {https://arxiv.org/abs/1709.07417}, year = {2017}, date = {2017-01-01}, pages = {459-468}, key = {conf/icml/BelloZVL17}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1709.07417 Close
30.	Wistuba, Martin Finding Competitive Network Architectures Within a Day Using UCT Technical Report , 2017. Links \| BibTeX @techreport{Wistuba2017_xtv, title = {Finding Competitive Network Architectures Within a Day Using UCT}, author = {Martin Wistuba}, url = {https://arxiv.org/abs/1712.07420}, year = {2017}, date = {2017-01-01}, volume = {abs/1712.07420}, key = {journals/corr/abs-1712-07420}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1712.07420 Close
29.	Cortes, Corinna; Gonzalvo, Xavier; Kuznetsov, Vitaly; Mohri, Mehryar; Yang, Scott AdaNet - Adaptive Structural Learning of Artificial Neural Networks Inproceedings pp. 874-883, 2017. Links \| BibTeX @inproceedings{Cortes2017_tpp, title = {AdaNet - Adaptive Structural Learning of Artificial Neural Networks}, author = {Corinna Cortes and Xavier Gonzalvo and Vitaly Kuznetsov and Mehryar Mohri and Scott Yang}, url = {https://arxiv.org/abs/1607.01097}, year = {2017}, date = {2017-01-01}, pages = {874-883}, key = {conf/icml/CortesGKMY17}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1607.01097 Close
28.	Baker, Bowen; Gupta, Otkrist; Naik, Nikhil; Raskar, Ramesh Designing Neural Network Architectures using Reinforcement Learning Inproceedings 2017. Links \| BibTeX @inproceedings{Baker2017_auf, title = {Designing Neural Network Architectures using Reinforcement Learning}, author = {Bowen Baker and Otkrist Gupta and Nikhil Naik and Ramesh Raskar}, url = {https://arxiv.org/abs/1611.02167}, year = {2017}, date = {2017-01-01}, key = {conf/iclr/BakerGNR17}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1611.02167 Close
27.	Klein, Aaron; Falkner, Stefan; Springenberg, Jost Tobias; Hutter, Frank Learning Curve Prediction with Bayesian Neural Networks Inproceedings 2017. Links \| BibTeX @inproceedings{Klein2017_ryl, title = {Learning Curve Prediction with Bayesian Neural Networks}, author = {Aaron Klein and Stefan Falkner and Jost Tobias Springenberg and Frank Hutter}, url = {http://ml.informatik.uni-freiburg.de/papers/17-ICLR-LCNet.pdf}, year = {2017}, date = {2017-01-01}, key = {conf/iclr/KleinFSH17}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close http://ml.informatik.uni-freiburg.de/papers/17-ICLR-LCNet.pdf Close
26.	Li, Lisha; Jamieson, Kevin G; DeSalvo, Giulia; Rostamizadeh, Afshin; Talwalkar, Ameet Hyperband - A Novel Bandit-Based Approach to Hyperparameter Optimization Journal Article 18 , pp. 185:1-185:52, 2017. Links \| BibTeX @article{Li2017_nng, title = {Hyperband - A Novel Bandit-Based Approach to Hyperparameter Optimization}, author = {Lisha Li and Kevin G Jamieson and Giulia DeSalvo and Afshin Rostamizadeh and Ameet Talwalkar}, url = {https://arxiv.org/abs/1603.06560}, year = {2017}, date = {2017-01-01}, volume = {18}, pages = {185:1-185:52}, key = {journals/jmlr/LiJDRT17}, keywords = {}, pubstate = {published}, tppubtype = {article} } Close https://arxiv.org/abs/1603.06560 Close
25.	Chang, Hao Skin cancer reorganization and classification with deep neural network Technical Report 2017. Links \| BibTeX @techreport{Chang2017_qom, title = {Skin cancer reorganization and classification with deep neural network}, author = {Hao Chang}, url = {https://deepblue.lib.umich.edu/bitstream/handle/2027.42/163208/llanlan_1.pdf?sequence=1}, year = {2017}, date = {2017-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://deepblue.lib.umich.edu/bitstream/handle/2027.42/163208/llanlan_1.pdf?seq[...] Close
24.	Suganuma, Masanori; Shirakawa, Shinichi; Nagao, Tomoharu A Genetic Programming Approach to Designing Convolutional Neural Network Architectures Technical Report 2017. Links \| BibTeX @techreport{Suganuma2017_bfv, title = {A Genetic Programming Approach to Designing Convolutional Neural Network Architectures}, author = {Masanori Suganuma and Shinichi Shirakawa and Tomoharu Nagao}, url = {https://link.springer.com/chapter/10.1007/978-981-15-3685-4_7}, year = {2017}, date = {2017-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://link.springer.com/chapter/10.1007/978-981-15-3685-4_7 Close
23.	Chang, Hao Skin cancer reorganization and classification with deep neural network Technical Report 2017. Links \| BibTeX @techreport{Chang2017_dns, title = {Skin cancer reorganization and classification with deep neural network}, author = {Hao Chang}, url = {https://link.springer.com/chapter/10.1007/978-981-15-3685-4_12}, year = {2017}, date = {2017-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://link.springer.com/chapter/10.1007/978-981-15-3685-4_12 Close
22.	Kani, Nagoor J; Elsheikh, Ahmed H DR-RNN: A deep residual recurrent neural network for model reduction Technical Report 2017. Links \| BibTeX @techreport{Kani2017_duk, title = {DR-RNN: A deep residual recurrent neural network for model reduction}, author = {Nagoor J Kani and Ahmed H Elsheikh}, url = {https://arxiv.org/abs/2004.10928}, year = {2017}, date = {2017-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/2004.10928 Close
2016
21.	Vu, Ngoc Thang; Adel, Heike; Gupta, Pankaj; Schütze, Hinrich Combining Recurrent and Convolutional Neural Networks for Relation Classification Technical Report 2016. Links \| BibTeX @techreport{Vu2016_scr, title = {Combining Recurrent and Convolutional Neural Networks for Relation Classification}, author = {Ngoc Thang Vu and Heike Adel and Pankaj Gupta and Hinrich Schütze}, url = {https://scholarworks.rit.edu/cgi/viewcontent.cgi?article=11785&context=theses}, year = {2016}, date = {2016-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://scholarworks.rit.edu/cgi/viewcontent.cgi?article=11785&context=t[...] Close
20.	Chen, Long; Zhang, Hanwang; Xiao, Jun; Nie, Liqiang; Shao, Jian; Liu, Wei; Chua, Tat-Seng SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning Technical Report 2016. Links \| BibTeX @techreport{Chen2016_gwr, title = {SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning}, author = {Long Chen and Hanwang Zhang and Jun Xiao and Liqiang Nie and Jian Shao and Wei Liu and Tat-Seng Chua}, url = {https://ieeexplore.ieee.org/abstract/document/9102879}, year = {2016}, date = {2016-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://ieeexplore.ieee.org/abstract/document/9102879 Close
19.	Smithson, Sean C; Yang, Guang; Gross, Warren J; Meyer, Brett H Neural networks designing neural networks - multi-objective hyper-parameter optimization Inproceedings pp. 104, 2016. Links \| BibTeX @inproceedings{Smithson2016_ykh, title = {Neural networks designing neural networks - multi-objective hyper-parameter optimization}, author = {Sean C Smithson and Guang Yang and Warren J Gross and Brett H Meyer}, url = {https://arxiv.org/abs/1611.02120}, doi = {10.1145/2966986.2967058}, year = {2016}, date = {2016-01-01}, pages = {104}, key = {conf/iccad/SmithsonYGM16}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1611.02120 doi:10.1145/2966986.2967058 Close
18.	Saxena, Shreyas; Verbeek, Jakob Convolutional Neural Fabrics Inproceedings pp. 4053-4061, 2016. Links \| BibTeX @inproceedings{Saxena2016_neg, title = {Convolutional Neural Fabrics}, author = {Shreyas Saxena and Jakob Verbeek}, url = {https://arxiv.org/abs/1606.02492}, year = {2016}, date = {2016-01-01}, pages = {4053-4061}, key = {conf/nips/SaxenaV16}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1606.02492 Close
17.	Loshchilov, Ilya; Hutter, Frank CMA-ES for Hyperparameter Optimization of Deep Neural Networks Technical Report , 2016. Links \| BibTeX @techreport{Loshchilov2016_ems, title = {CMA-ES for Hyperparameter Optimization of Deep Neural Networks}, author = {Ilya Loshchilov and Frank Hutter}, url = {https://arxiv.org/abs/1604.07269}, year = {2016}, date = {2016-01-01}, volume = {abs/1604.07269}, key = {journals/corr/LoshchilovH16}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1604.07269 Close
16.	Chen, Tianqi; Goodfellow, Ian J; Shlens, Jonathon Net2Net - Accelerating Learning via Knowledge Transfer Inproceedings 2016. Links \| BibTeX @inproceedings{Chen2016_uzf, title = {Net2Net - Accelerating Learning via Knowledge Transfer}, author = {Tianqi Chen and Ian J Goodfellow and Jonathon Shlens}, url = {https://arxiv.org/abs/1511.05641}, year = {2016}, date = {2016-01-01}, key = {journals/corr/ChenGS15}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://arxiv.org/abs/1511.05641 Close
15.	Chen, Justin Combinatorially Generated Piecewise Activation Functions Technical Report 2016. Links \| BibTeX @techreport{Chen2016_okg, title = {Combinatorially Generated Piecewise Activation Functions}, author = {Justin Chen}, url = {http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf}, year = {2016}, date = {2016-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf Close
2015
14.	Young, Steven R; Rose, Derek C; Karnowski, Thomas P; Lim, Seung-Hwan; Patton, Robert M Optimizing deep learning hyper-parameters through an evolutionary algorithm Inproceedings pp. 4:1-4:5, 2015. Links \| BibTeX @inproceedings{Young2015_rur, title = {Optimizing deep learning hyper-parameters through an evolutionary algorithm}, author = {Steven R Young and Derek C Rose and Thomas P Karnowski and Seung-Hwan Lim and Robert M Patton}, url = {https://dl.acm.org/citation.cfm?id=2834896}, doi = {10.1145/2834892.2834896}, year = {2015}, date = {2015-01-01}, pages = {4:1-4:5}, key = {conf/sc/YoungRKLP15}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://dl.acm.org/citation.cfm?id=2834896 doi:10.1145/2834892.2834896 Close
13.	Kulish, Vadym V; Malyi, Oleksandr I; Persson, Clas; Wu, Ping Evaluation of Phosphorene as Anode Material for Na-ion Batteries from First Principles Technical Report 2015. Links \| BibTeX @techreport{Kulish2015_twu, title = {Evaluation of Phosphorene as Anode Material for Na-ion Batteries from First Principles}, author = {Vadym V Kulish and Oleksandr I Malyi and Clas Persson and Ping Wu}, url = {https://arxiv.org/abs/1912.12522}, year = {2015}, date = {2015-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://arxiv.org/abs/1912.12522 Close
2013
12.	Lopez, Pablo; Fernandez, David; Marin-Perez, Rafael; Jara, Antonio J; Gomez-Skarmeta, Antonio F Scalable Oriented-Service Architecture for Heterogeneous and Ubiquitous IoT Domains Technical Report 2013. Links \| BibTeX @techreport{Lopez2013_yux, title = {Scalable Oriented-Service Architecture for Heterogeneous and Ubiquitous IoT Domains}, author = {Pablo Lopez and David Fernandez and Rafael Marin-Perez and Antonio J Jara and Antonio F Gomez-Skarmeta}, url = {https://ieeexplore.ieee.org/abstract/document/9269354}, year = {2013}, date = {2013-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://ieeexplore.ieee.org/abstract/document/9269354 Close
11.	Fister, Iztok; Jr., Iztok Fister; Yang, Xin-She; Brest, Janez A comprehensive review of firefly algorithms Technical Report 2013. Links \| BibTeX @techreport{Fister2013_noy, title = {A comprehensive review of firefly algorithms}, author = {Iztok Fister and Iztok Fister Jr. and Xin-She Yang and Janez Brest}, url = {https://link.springer.com/chapter/10.1007/978-981-15-0306-1_5}, year = {2013}, date = {2013-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://link.springer.com/chapter/10.1007/978-981-15-0306-1_5 Close
2012
10.	Anas, M; Javaid, N; Mahmood, A; Raza, S M; Qasim, U; Khan, Z A Minimizing Electricity Theft using Smart Meters in AMI Technical Report 2012. Links \| BibTeX @techreport{Anas2012_lze, title = {Minimizing Electricity Theft using Smart Meters in AMI}, author = {M Anas and N Javaid and A Mahmood and S M Raza and U Qasim and Z A Khan}, url = {https://ieeexplore.ieee.org/abstract/document/9275605}, year = {2012}, date = {2012-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://ieeexplore.ieee.org/abstract/document/9275605 Close
9.	Snoek, Jasper; Larochelle, Hugo; Adams, Ryan P Practical Bayesian Optimization of Machine Learning Algorithms Inproceedings pp. 2960-2968, 2012. Links \| BibTeX @inproceedings{Snoek2012_oyf, title = {Practical Bayesian Optimization of Machine Learning Algorithms}, author = {Jasper Snoek and Hugo Larochelle and Ryan P Adams}, url = {https://papers.nips.cc/paper/4522-practical-bayesian-optimization-of-machine-learning-algorithms.pdf}, year = {2012}, date = {2012-01-01}, pages = {2960-2968}, key = {conf/nips/SnoekLA12}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://papers.nips.cc/paper/4522-practical-bayesian-optimization-of-machine-lea[...] Close
2009
8.	Stanley, Kenneth O; D'Ambrosio, David B; Gauci, Jason A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks Journal Article 15 (2), pp. 185-212, 2009. Links \| BibTeX @article{Stanley2009_mid, title = {A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks}, author = {Kenneth O Stanley and David B D'Ambrosio and Jason Gauci}, url = {https://ieeexplore.ieee.org/document/6792316/}, doi = {10.1162/ARTL.2009.15.2.15202}, year = {2009}, date = {2009-01-01}, volume = {15}, number = {2}, pages = {185-212}, key = {journals/alife/StanleyDG09}, keywords = {}, pubstate = {published}, tppubtype = {article} } Close https://ieeexplore.ieee.org/document/6792316/ doi:10.1162/ARTL.2009.15.2.15202 Close
7.	Jaffres-Runser, Katia; Gorce, Jean-Marie; Comaniciu, Cristina A multiobjective Tabu framework for the optimization and evaluation of wireless systems Technical Report 2009. Links \| BibTeX @techreport{Jaffres-Runser2009_vyd, title = {A multiobjective Tabu framework for the optimization and evaluation of wireless systems}, author = {Katia Jaffres-Runser and Jean-Marie Gorce and Cristina Comaniciu}, url = {https://ieeexplore.ieee.org/abstract/document/9127493}, year = {2009}, date = {2009-01-01}, keywords = {}, pubstate = {published}, tppubtype = {techreport} } Close https://ieeexplore.ieee.org/abstract/document/9127493 Close
2008
6.	Floreano, Dario; Dürr, Peter; Mattiussi, Claudio Neuroevolution - from architectures to learning Journal Article 1 (1), pp. 47-62, 2008. Links \| BibTeX @article{Floreano2008_wpi, title = {Neuroevolution - from architectures to learning}, author = {Dario Floreano and Peter Dürr and Claudio Mattiussi}, url = {https://link.springer.com/article/10.1007/s12065-007-0002-4}, doi = {10.1007/S12065-007-0002-4}, year = {2008}, date = {2008-01-01}, volume = {1}, number = {1}, pages = {47-62}, key = {journals/evi/FloreanoDM08}, keywords = {}, pubstate = {published}, tppubtype = {article} } Close https://link.springer.com/article/10.1007/s12065-007-0002-4 doi:10.1007/S12065-007-0002-4 Close
2005
5.	Czarnowski, Ireneusz; Jedrzejowicz, Piotr An Agent-Based PLA for the Cascade Correlation Learning Architecture Inproceedings pp. 197-202, 2005. Links \| BibTeX @inproceedings{Czarnowski2005_quf, title = {An Agent-Based PLA for the Cascade Correlation Learning Architecture}, author = {Ireneusz Czarnowski and Piotr Jedrzejowicz}, url = {https://papers.nips.cc/paper/207-the-cascade-correlation-learning-architecture}, doi = {10.1007/11550907_32}, year = {2005}, date = {2005-01-01}, pages = {197-202}, key = {conf/icann/CzarnowskiJ05}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://papers.nips.cc/paper/207-the-cascade-correlation-learning-architecture doi:10.1007/11550907_32 Close
2004
4.	Roy, N K; Potter, Walter D; Landau, D P Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains Journal Article 20 (3), pp. 215-229, 2004. Links \| BibTeX @article{Roy2004_app, title = {Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains}, author = {N K Roy and Walter D Potter and D P Landau}, url = {https://dl.acm.org/citation.cfm?id=94034}, doi = {10.1023/B:APIN.0000021414.50728.34}, year = {2004}, date = {2004-01-01}, volume = {20}, number = {3}, pages = {215-229}, key = {journals/apin/RoyPL04}, keywords = {}, pubstate = {published}, tppubtype = {article} } Close https://dl.acm.org/citation.cfm?id=94034 doi:10.1023/B:APIN.0000021414.50728.34 Close
1994
3.	Angeline, Peter J; Saunders, Gregory M; Pollack, Jordan B An evolutionary algorithm that constructs recurrent neural networks Journal Article 5 (1), pp. 54-65, 1994. Links \| BibTeX @article{Angeline1994_qts, title = {An evolutionary algorithm that constructs recurrent neural networks}, author = {Peter J Angeline and Gregory M Saunders and Jordan B Pollack}, url = {https://ieeexplore.ieee.org/document/265960/}, doi = {10.1109/72.265960}, year = {1994}, date = {1994-01-01}, volume = {5}, number = {1}, pages = {54-65}, key = {journals/tnn/AngelineSP94}, keywords = {}, pubstate = {published}, tppubtype = {article} } Close https://ieeexplore.ieee.org/document/265960/ doi:10.1109/72.265960 Close
1990
2.	Kitano, Hiroaki Designing Neural Networks Using Genetic Algorithms with Graph Generation System Journal Article 4 (4), 1990. Links \| BibTeX @article{Kitano1990_uli, title = {Designing Neural Networks Using Genetic Algorithms with Graph Generation System}, author = {Hiroaki Kitano}, url = {http://www.complex-systems.com/abstracts/v04_i04_a06/}, year = {1990}, date = {1990-01-01}, volume = {4}, number = {4}, key = {journals/compsys/Kitano90}, keywords = {}, pubstate = {published}, tppubtype = {article} } Close http://www.complex-systems.com/abstracts/v04_i04_a06/ Close
1988
1.	Tenorio, Manoel Fernando; Lee, Wei-Tsih Self Organizing Neural Networks for the Identification Problem Inproceedings pp. 57-64, 1988. Links \| BibTeX @inproceedings{Tenorio1988_rex, title = {Self Organizing Neural Networks for the Identification Problem}, author = {Manoel Fernando Tenorio and Wei-Tsih Lee}, url = {https://papers.nips.cc/paper/149-self-organizing-neural-networks-for-the-identification-problem}, year = {1988}, date = {1988-01-01}, pages = {57-64}, key = {conf/nips/TenorioL88}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Close https://papers.nips.cc/paper/149-self-organizing-neural-networks-for-the-identif[...] Close

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