Literature on Neural Architecture Search

@inproceedings{So2019_cbd,

title = {The Evolved Transformer},

author = {David R So and Quoc V Le and Chen Liang},

url = {https://arxiv.org/abs/1901.11117},

year  = {2019},

date = {2019-01-01},

pages = {5877-5886},

key = {conf/icml/SoLL19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Dikov2019_yxz,

title = {Bayesian Learning of Neural Network Architectures},

author = {Georgi Dikov and Justin Bayer},

url = {https://arxiv.org/abs/1901.04436},

year  = {2019},

date = {2019-01-01},

pages = {730-738},

key = {conf/aistats/DikovB19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Liu2019_znq,

title = {Auto-DeepLab - Hierarchical Neural Architecture Search for Semantic Image Segmentation},

author = {Chenxi Liu and Liang-Chieh Chen and Florian Schroff and Hartwig Adam and Wei Hua and Alan L Yuille and Fei-Fei Li},

url = {https://arxiv.org/abs/1901.02985},

doi = {10.1109/CVPR.2019.00017},

year  = {2019},

date = {2019-01-01},

pages = {82-92},

key = {conf/cvpr/LiuCSAHY019},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Xie2019_huh,

title = {SNAS - stochastic neural architecture search},

author = {Sirui Xie and Hehui Zheng and Chunxiao Liu and Liang Lin},

url = {https://arxiv.org/abs/1812.09926},

year  = {2019},

date = {2019-01-01},

key = {conf/iclr/XieZLL19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Zhang2019_sgr,

title = {Graph HyperNetworks for Neural Architecture Search},

author = {Chris Zhang and Mengye Ren and Raquel Urtasun},

url = {https://arxiv.org/abs/1810.05749},

year  = {2019},

date = {2019-01-01},

key = {conf/iclr/ZhangRU19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Elsken2019_iug,

title = {Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution},

author = {Thomas Elsken and Jan Hendrik Metzen and Frank Hutter},

url = {https://arxiv.org/abs/1804.09081},

year  = {2019},

date = {2019-01-01},

key = {conf/iclr/ElskenMH19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Dai2019_snv,

title = {ChamNet - Towards Efficient Network Design Through Platform-Aware Model Adaptation},

author = {Xiaoliang Dai and Peizhao Zhang and Bichen Wu and Hongxu Yin and Fei Sun and Yanghan Wang and Marat Dukhan and Yunqing Hu and Yiming Wu and Yangqing Jia and Peter Vajda and Matt Uyttendaele and Niraj K Jha},

url = {https://arxiv.org/abs/1812.08934},

doi = {10.1109/CVPR.2019.01166},

year  = {2019},

date = {2019-01-01},

pages = {11398-11407},

key = {conf/cvpr/DaiZWYSWDHWJVUJ19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wyk2019_ikq,

title = {Evolutionary Neural Architecture Search for Image Restoration},

author = {Gerard Jacques van Wyk and Anna Sergeevna Bosman},

url = {https://arxiv.org/abs/1812.05866},

doi = {10.1109/IJCNN.2019.8852417},

year  = {2019},

date = {2019-01-01},

pages = {1-8},

key = {conf/ijcnn/WykB19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Guo2019_quq,

title = {IRLAS - Inverse Reinforcement Learning for Architecture Search},

author = {Minghao Guo and Zhao Zhong and Wei Wu and Dahua Lin and Junjie Yan},

url = {https://arxiv.org/abs/1812.05285},

doi = {10.1109/CVPR.2019.00923},

year  = {2019},

date = {2019-01-01},

pages = {9021-9029},

key = {conf/cvpr/GuoZWLY19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Cai2019_dhd,

title = {ProxylessNAS - Direct Neural Architecture Search on Target Task and Hardware},

author = {Han Cai and Ligeng Zhu and Song Han},

url = {https://arxiv.org/abs/1812.00332},

year  = {2019},

date = {2019-01-01},

key = {conf/iclr/CaiZH19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Cai2019_jqr,

title = {TEA-DNN - the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks},

author = {Lile Cai and Anne-Maelle Barneche and Arthur Herbout and Chuan Sheng Foo and Jie Lin and Vijay Ramaseshan Chandrasekhar and Mohamed Sabry M Aly},

url = {https://arxiv.org/abs/1811.12065},

doi = {10.1109/ISLPED.2019.8824934},

year  = {2019},

date = {2019-01-01},

pages = {1-6},

key = {conf/islped/CaiBHFLCA19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Piergiovanni2019_xrj,

title = {Evolving Space-Time Neural Architectures for Videos},

author = {A J Piergiovanni and Anelia Angelova and Alexander Toshev and Michael S Ryoo},

url = {https://arxiv.org/abs/1811.10636},

doi = {10.1109/ICCV.2019.00188},

year  = {2019},

date = {2019-01-01},

pages = {1793-1802},

key = {conf/iccv/PiergiovanniATR19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Geifman2019_een,

title = {Deep Active Learning with a Neural Architecture Search},

author = {Yonatan Geifman and Ran El-Yaniv},

url = {https://arxiv.org/abs/1811.07579},

year  = {2019},

date = {2019-01-01},

pages = {5974-5984},

key = {conf/nips/GeifmanE19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Véniat2019_owc,

title = {Stochastic Adaptive Neural Architecture Search for Keyword Spotting},

author = {Tom Véniat and Olivier Schwander and Ludovic Denoyer},

url = {https://arxiv.org/abs/1811.06753},

doi = {10.1109/ICASSP.2019.8683305},

year  = {2019},

date = {2019-01-01},

pages = {2842-2846},

key = {conf/icassp/VeniatSD19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Hundt2019_rhm,

title = {The CoSTAR Block Stacking Dataset - Learning with Workspace Constraints},

author = {Andrew Hundt and Varun Jain and Chia-Hung Lin and Chris Paxton and Gregory D Hager},

url = {https://arxiv.org/abs/1810.11714},

doi = {10.1109/IROS40897.2019.8967784},

year  = {2019},

date = {2019-01-01},

pages = {1797-1804},

key = {conf/iros/HundtJLPH19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Nekrasov2019_mod,

title = {Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells},

author = {Vladimir Nekrasov and Hao Chen and Chunhua Shen and Ian D Reid},

url = {https://arxiv.org/abs/1810.10804},

doi = {10.1109/CVPR.2019.00934},

year  = {2019},

date = {2019-01-01},

pages = {9126-9135},

key = {conf/cvpr/NekrasovCS019},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Stein2019_xgn,

title = {Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization},

author = {Bas van Stein and Hao Wang and Thomas Bäck},

url = {https://arxiv.org/abs/1810.05526},

doi = {10.1109/IJCNN.2019.8851720},

year  = {2019},

date = {2019-01-01},

pages = {1-7},

key = {conf/ijcnn/Stein0B19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Chen2019_zha,

title = {RENAS - Reinforced Evolutionary Neural Architecture Search},

author = {Yukang Chen and Gaofeng Meng and Qian Zhang and Shiming Xiang and Chang Huang and Lisen Mu and Xinggang Wang},

url = {https://arxiv.org/abs/1808.00193},

doi = {10.1109/CVPR.2019.00492},

year  = {2019},

date = {2019-01-01},

pages = {4787-4796},

key = {conf/cvpr/ChenMZXHMW19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Bashivan2019_whp,

title = {Teacher Guided Architecture Search},

author = {Pouya Bashivan and Mark Tensen and James J DiCarlo},

url = {https://arxiv.org/abs/1808.01405},

doi = {10.1109/ICCV.2019.00542},

year  = {2019},

date = {2019-01-01},

pages = {5319-5328},

key = {conf/iccv/BashivanTD19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tan2019_bmg,

title = {MnasNet - Platform-Aware Neural Architecture Search for Mobile},

author = {Mingxing Tan and Bo Chen and Ruoming Pang and Vijay Vasudevan and Mark Sandler and Andrew Howard and Quoc V Le},

url = {https://arxiv.org/abs/1807.11626},

doi = {10.1109/CVPR.2019.00293},

year  = {2019},

date = {2019-01-01},

pages = {2820-2828},

key = {conf/cvpr/TanCPVSHL19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Istrate2019_gsm,

title = {TAPAS - Train-Less Accuracy Predictor for Architecture Search},

author = {Roxana Istrate and Florian Scheidegger and Giovanni Mariani and Dimitrios S Nikolopoulos and Constantine Bekas and Adelmo Cristiano Innocenza Malossi},

url = {https://arxiv.org/abs/1806.00250},

doi = {10.1609/AAAI.V33I01.33013927},

year  = {2019},

date = {2019-01-01},

pages = {3927-3934},

key = {conf/aaai/IstrateSMNBM19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Real2019_mwd,

title = {Regularized Evolution for Image Classifier Architecture Search},

author = {Esteban Real and Alok Aggarwal and Yanping Huang and Quoc V Le},

url = {https://arxiv.org/abs/1802.01548},

doi = {10.1609/AAAI.V33I01.33014780},

year  = {2019},

date = {2019-01-01},

pages = {4780-4789},

key = {conf/aaai/RealAHL19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Märtens2019_ddn,

title = {Neural network architecture search with differentiable cartesian genetic programming for regression},

author = {Marcus Märtens and Dario Izzo},

url = {https://openreview.net/pdf?id=BJ-MRKkwG},

doi = {10.1145/3319619.3322003},

year  = {2019},

date = {2019-01-01},

pages = {181-182},

key = {conf/gecco/MartensI19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Kwasigroch2019_dos,

title = {Deep neural network architecture search using network morphism},

author = {Arkadiusz Kwasigroch and Michal Grochowski and Mateusz Mikolajczyk},

url = {https://arxiv.org/abs/1603.01670},

doi = {10.1109/MMAR.2019.8864624},

year  = {2019},

date = {2019-01-01},

pages = {30-35},

key = {conf/mmar/KwasigrochGM19},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@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}

}

@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}

}