AutoML.org

Freiburg-Hannover-Tübingen

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.

Transformers have gained increasing popularity in different domains. For a comprehensive list of papers focusing on Neural Architecture Search for Transformer-Based spaces, the awesome-transformer-search repo is all you need.


3102 entries « 61 of 63 »

2018

102.

Hinz, Tobias; Navarro-Guerrero, Nicolás; Magg, Sven; Wermter, Stefan

Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks Journal Article

In: vol. 17, no. 2, pp. 1850008:1-1850008:15, 2018.

Links | BibTeX

101.

Bennani-Smires, Kamil; Musat, Claudiu; Hossmann, Andreea; Baeriswyl, Michael

GitGraph - from Computational Subgraphs to Smaller Architecture Search Spaces Proceedings Article

In: 2018.

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100.

Ashok, Anubhav; Rhinehart, Nicholas; Beainy, Fares; Kitani, Kris M

N2N learning - Network to Network Compression via Policy Gradient Reinforcement Learning Proceedings Article

In: 2018.

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99.

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 Proceedings Article

In: pp. 1586-1595, 2018.

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98.

Ahmed, Karim; Torresani, Lorenzo

MaskConnect - Connectivity Learning by Gradient Descent Proceedings Article

In: pp. 362-378, 2018.

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97.

Schrimpf, Martin; Merity, Stephen; Bradbury, James; Socher, Richard

A Flexible Approach to Automated RNN Architecture Generation Proceedings Article

In: 2018.

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96.

Suganuma, Masanori; Shirakawa, Shinichi; Nagao, Tomoharu

A Genetic Programming Approach to Designing Convolutional Neural Network Architectures Proceedings Article

In: pp. 5369-5373, 2018.

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95.

Zhong, Zhao; Yan, Junjie; Wu, Wei; Shao, Jing; Liu, Cheng-Lin

Practical Block-Wise Neural Network Architecture Generation Proceedings Article

In: pp. 2423-2432, 2018.

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94.

Baker, Bowen; Gupta, Otkrist; Raskar, Ramesh; Naik, Nikhil

Accelerating Neural Architecture Search using Performance Prediction Proceedings Article

In: 2018.

Links | BibTeX

93.

Liu, Hanxiao; Simonyan, Karen; Vinyals, Oriol; Fernando, Chrisantha; Kavukcuoglu, Koray

Hierarchical Representations for Efficient Architecture Search Proceedings Article

In: 2018.

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92.

Zoph, Barret; Vasudevan, Vijay; Shlens, Jonathon; Le, Quoc V

Learning Transferable Architectures for Scalable Image Recognition Proceedings Article

In: pp. 8697-8710, 2018.

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91.

Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank

Simple and efficient architecture search for Convolutional Neural Networks Proceedings Article

In: 2018.

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90.

Hazan, Elad; Klivans, Adam R; Yuan, Yang

Hyperparameter optimization - a spectral approach Proceedings Article

In: 2018.

Links | BibTeX

89.

Brock, Andrew; Lim, Theodore; Ritchie, James M; Weston, Nick

SMASH - One-Shot Model Architecture Search through HyperNetworks Proceedings Article

In: 2018.

Links | BibTeX

88.

Cai, Han; Chen, Tianyao; Zhang, Weinan; Yu, Yong; Wang, Jun

Efficient Architecture Search by Network Transformation Proceedings Article

In: pp. 2787-2794, 2018.

Links | BibTeX

87.

Chen, Liang-Chieh; Collins, Maxwell D.; Zhu, Yukun; Papandreou, George; Zoph, Barret; Schroff, Florian; Adam, Hartwig; Shlens, Jonathon

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction Proceedings Article

In: Bengio, Samy; Wallach, Hanna M.; Larochelle, Hugo; Grauman, Kristen; Cesa-Bianchi, Nicolò; Garnett, Roman (Ed.): Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, pp. 8713–8724, 2018.

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2017

86.

Chang, Hao

Skin cancer reorganization and classification with deep neural network Technical Report

2017.

Links | BibTeX

85.

Suganuma, Masanori; Shirakawa, Shinichi; Nagao, Tomoharu

A Genetic Programming Approach to Designing Convolutional Neural Network Architectures Technical Report

2017.

Links | BibTeX

84.

Chang, Hao

Skin cancer reorganization and classification with deep neural network Technical Report

2017.

Links | BibTeX

83.

Kani, Nagoor J; Elsheikh, Ahmed H

DR-RNN: A deep residual recurrent neural network for model reduction Technical Report

2017.

Links | BibTeX

82.

Sun, Yanan; Xue, Bing; Zhang, Mengjie

A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification Technical Report

2017.

Links | BibTeX

81.

Negrinho, Renato; Gordon, Geoffrey J

DeepArchitect - Automatically Designing and Training Deep Architectures Technical Report

2017.

Links | BibTeX

80.

Real, Esteban; Moore, Sherry; Selle, Andrew; Saxena, Saurabh; Suematsu, Yutaka Leon; Tan, Jie; Le, Quoc V; Kurakin, Alexey

Large-Scale Evolution of Image Classifiers Proceedings Article

In: pp. 2902-2911, 2017.

Links | BibTeX

79.

Bello, Irwan; Zoph, Barret; Vasudevan, Vijay; Le, Quoc V

Neural Optimizer Search with Reinforcement Learning Proceedings Article

In: pp. 459-468, 2017.

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78.

Wistuba, Martin

Finding Competitive Network Architectures Within a Day Using UCT Technical Report

2017.

Links | BibTeX

77.

Cortes, Corinna; Gonzalvo, Xavier; Kuznetsov, Vitaly; Mohri, Mehryar; Yang, Scott

AdaNet - Adaptive Structural Learning of Artificial Neural Networks Proceedings Article

In: pp. 874-883, 2017.

Links | BibTeX

76.

Baker, Bowen; Gupta, Otkrist; Naik, Nikhil; Raskar, Ramesh

Designing Neural Network Architectures using Reinforcement Learning Proceedings Article

In: 2017.

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75.

Klein, Aaron; Falkner, Stefan; Springenberg, Jost Tobias; Hutter, Frank

Learning Curve Prediction with Bayesian Neural Networks Proceedings Article

In: 2017.

Links | BibTeX

74.

Li, Lisha; Jamieson, Kevin G; DeSalvo, Giulia; Rostamizadeh, Afshin; Talwalkar, Ameet

Hyperband - A Novel Bandit-Based Approach to Hyperparameter Optimization Journal Article

In: vol. 18, pp. 185:1-185:52, 2017.

Links | BibTeX

2016

73.

Vu, Ngoc Thang; Adel, Heike; Gupta, Pankaj; Schütze, Hinrich

Combining Recurrent and Convolutional Neural Networks for Relation Classification Technical Report

2016.

Links | BibTeX

72.

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

71.

Smithson, Sean C; Yang, Guang; Gross, Warren J; Meyer, Brett H

Neural networks designing neural networks - multi-objective hyper-parameter optimization Proceedings Article

In: pp. 104, 2016.

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70.

Saxena, Shreyas; Verbeek, Jakob

Convolutional Neural Fabrics Proceedings Article

In: pp. 4053-4061, 2016.

Links | BibTeX

69.

Loshchilov, Ilya; Hutter, Frank

CMA-ES for Hyperparameter Optimization of Deep Neural Networks Technical Report

2016.

Links | BibTeX

68.

Chen, Tianqi; Goodfellow, Ian J; Shlens, Jonathon

Net2Net - Accelerating Learning via Knowledge Transfer Proceedings Article

In: 2016.

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67.

Chen, Justin

Combinatorially Generated Piecewise Activation Functions Technical Report

2016.

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2015

66.

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

65.

Young, Steven R; Rose, Derek C; Karnowski, Thomas P; Lim, Seung-Hwan; Patton, Robert M

Optimizing deep learning hyper-parameters through an evolutionary algorithm Proceedings Article

In: pp. 4:1-4:5, 2015.

Links | BibTeX

2013

64.

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

63.

Fister, Iztok; Jr., Iztok Fister; Yang, Xin-She; Brest, Janez

A comprehensive review of firefly algorithms Technical Report

2013.

Links | BibTeX

2012

62.

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

61.

Snoek, Jasper; Larochelle, Hugo; Adams, Ryan P

Practical Bayesian Optimization of Machine Learning Algorithms Proceedings Article

In: pp. 2960-2968, 2012.

Links | BibTeX

2009

60.

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

59.

Stanley, Kenneth O; D'Ambrosio, David B; Gauci, Jason

A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks Journal Article

In: vol. 15, no. 2, pp. 185-212, 2009.

Links | BibTeX

2008

58.

Floreano, Dario; Dürr, Peter; Mattiussi, Claudio

Neuroevolution - from architectures to learning Journal Article

In: vol. 1, no. 1, pp. 47-62, 2008.

Links | BibTeX

2005

57.

Czarnowski, Ireneusz; Jedrzejowicz, Piotr

An Agent-Based PLA for the Cascade Correlation Learning Architecture Proceedings Article

In: pp. 197-202, 2005.

Links | BibTeX

2004

56.

Roy, N K; Potter, Walter D; Landau, D P

Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains Journal Article

In: vol. 20, no. 3, pp. 215-229, 2004.

Links | BibTeX

1994

55.

Angeline, Peter J; Saunders, Gregory M; Pollack, Jordan B

An evolutionary algorithm that constructs recurrent neural networks Journal Article

In: vol. 5, no. 1, pp. 54-65, 1994.

Links | BibTeX

1990

54.

Kitano, Hiroaki

Designing Neural Networks Using Genetic Algorithms with Graph Generation System Journal Article

In: vol. 4, no. 4, 1990.

Links | BibTeX

1988

53.

Tenorio, Manoel Fernando; Lee, Wei-Tsih

Self Organizing Neural Networks for the Identification Problem Proceedings Article

In: pp. 57-64, 1988.

Links | BibTeX

3102 entries « 61 of 63 »