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.


3302 entries « 65 of 67 »

2018

102.

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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101.

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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100.

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.

Links | BibTeX

99.

Ahmed, Karim; Torresani, Lorenzo

MaskConnect - Connectivity Learning by Gradient Descent Proceedings Article

In: pp. 362-378, 2018.

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98.

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

A Flexible Approach to Automated RNN Architecture Generation Proceedings Article

In: 2018.

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97.

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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96.

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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95.

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

Accelerating Neural Architecture Search using Performance Prediction Proceedings Article

In: 2018.

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94.

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

Hierarchical Representations for Efficient Architecture Search Proceedings Article

In: 2018.

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93.

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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92.

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

Simple and efficient architecture search for Convolutional Neural Networks Proceedings Article

In: 2018.

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91.

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

Hyperparameter optimization - a spectral approach Proceedings Article

In: 2018.

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90.

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

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

In: 2018.

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89.

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

Efficient Architecture Search by Network Transformation Proceedings Article

In: pp. 2787-2794, 2018.

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88.

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

87.

Chang, Hao

Skin cancer reorganization and classification with deep neural network Technical Report

2017.

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86.

Suganuma, Masanori; Shirakawa, Shinichi; Nagao, Tomoharu

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

2017.

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85.

Chang, Hao

Skin cancer reorganization and classification with deep neural network Technical Report

2017.

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84.

Kani, Nagoor J; Elsheikh, Ahmed H

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

2017.

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83.

Sun, Yanan; Xue, Bing; Zhang, Mengjie

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

2017.

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82.

Negrinho, Renato; Gordon, Geoffrey J

DeepArchitect - Automatically Designing and Training Deep Architectures Technical Report

2017.

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81.

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.

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80.

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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79.

Wistuba, Martin

Finding Competitive Network Architectures Within a Day Using UCT Technical Report

2017.

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78.

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.

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77.

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

Designing Neural Network Architectures using Reinforcement Learning Proceedings Article

In: 2017.

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76.

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

Learning Curve Prediction with Bayesian Neural Networks Proceedings Article

In: 2017.

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75.

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.

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2016

74.

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

Combining Recurrent and Convolutional Neural Networks for Relation Classification Technical Report

2016.

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73.

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.

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72.

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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71.

Saxena, Shreyas; Verbeek, Jakob

Convolutional Neural Fabrics Proceedings Article

In: pp. 4053-4061, 2016.

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70.

Loshchilov, Ilya; Hutter, Frank

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

2016.

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69.

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

Net2Net - Accelerating Learning via Knowledge Transfer Proceedings Article

In: 2016.

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68.

Chen, Justin

Combinatorially Generated Piecewise Activation Functions Technical Report

2016.

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2015

67.

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.

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66.

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

65.

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.

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64.

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

A comprehensive review of firefly algorithms Technical Report

2013.

Links | BibTeX

2012

63.

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.

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62.

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

Practical Bayesian Optimization of Machine Learning Algorithms Proceedings Article

In: pp. 2960-2968, 2012.

Links | BibTeX

2009

61.

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

60.

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

59.

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

58.

Czarnowski, Ireneusz; Jedrzejowicz, Piotr

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

In: pp. 197-202, 2005.

Links | BibTeX

2004

57.

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

56.

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

55.

Kitano, Hiroaki

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

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

Links | BibTeX

1988

54.

Tenorio, Manoel Fernando; Lee, Wei-Tsih

Self Organizing Neural Networks for the Identification Problem Proceedings Article

In: pp. 57-64, 1988.

Links | BibTeX

0000

53.

Waris, Faisal; Reynolds, Robert G.; Lee, Joonho

Evolving Deep Neural Networks with Cultural Algorithms for Real-Time Industrial Applications Journal Article

In: International Journal of Semantic Computing, vol. 0, no. 0, pp. 1-32, 0000.

Abstract | Links | BibTeX

3302 entries « 65 of 67 »