Literature on Neural Architecture Search

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}