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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.


1239 entries « 25 of 25 »

2017

39.

Sun, Yanan; Xue, Bing; Zhang, Mengjie

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

, 2017.

Links | BibTeX

38.

Negrinho, Renato; Gordon, Geoffrey J

DeepArchitect - Automatically Designing and Training Deep Architectures Technical Report

, 2017.

Links | BibTeX

37.

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

36.

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

Neural Optimizer Search with Reinforcement Learning Inproceedings

pp. 459-468, 2017.

Links | BibTeX

35.

Wistuba, Martin

Finding Competitive Network Architectures Within a Day Using UCT Technical Report

, 2017.

Links | BibTeX

34.

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

33.

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

Designing Neural Network Architectures using Reinforcement Learning Inproceedings

2017.

Links | BibTeX

32.

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

Learning Curve Prediction with Bayesian Neural Networks Inproceedings

2017.

Links | BibTeX

31.

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

30.

Chang, Hao

Skin cancer reorganization and classification with deep neural network Technical Report

2017.

Links | BibTeX

29.

Suganuma, Masanori; Shirakawa, Shinichi; Nagao, Tomoharu

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

2017.

Links | BibTeX

28.

Chang, Hao

Skin cancer reorganization and classification with deep neural network Technical Report

2017.

Links | BibTeX

27.

Kani, Nagoor J; Elsheikh, Ahmed H

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

2017.

Links | BibTeX

2016

26.

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

Combining Recurrent and Convolutional Neural Networks for Relation Classification Technical Report

2016.

Links | BibTeX

25.

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

24.

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

23.

Saxena, Shreyas; Verbeek, Jakob

Convolutional Neural Fabrics Inproceedings

pp. 4053-4061, 2016.

Links | BibTeX

22.

Loshchilov, Ilya; Hutter, Frank

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

, 2016.

Links | BibTeX

21.

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

Net2Net - Accelerating Learning via Knowledge Transfer Inproceedings

2016.

Links | BibTeX

20.

Chen, Justin

Combinatorially Generated Piecewise Activation Functions Technical Report

2016.

Links | BibTeX

2015

19.

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

18.

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

2013

17.

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

16.

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

A comprehensive review of firefly algorithms Technical Report

2013.

Links | BibTeX

2012

15.

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

14.

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

Practical Bayesian Optimization of Machine Learning Algorithms Inproceedings

pp. 2960-2968, 2012.

Links | BibTeX

2009

13.

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

12.

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

2008

11.

Floreano, Dario; Dürr, Peter; Mattiussi, Claudio

Neuroevolution - from architectures to learning Journal Article

1 (1), pp. 47-62, 2008.

Links | BibTeX

2005

10.

Czarnowski, Ireneusz; Jedrzejowicz, Piotr

An Agent-Based PLA for the Cascade Correlation Learning Architecture Inproceedings

pp. 197-202, 2005.

Links | BibTeX

2004

9.

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

1994

8.

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

1990

7.

Kitano, Hiroaki

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

4 (4), 1990.

Links | BibTeX

1988

6.

Tenorio, Manoel Fernando; Lee, Wei-Tsih

Self Organizing Neural Networks for the Identification Problem Inproceedings

pp. 57-64, 1988.

Links | BibTeX

0000

5.

Soniya, ; Singh, Lotika; Paul, Sandeep

Hybrid evolutionary network architecture search (HyENAS) for convolution class of deep neural networks with applications Journal Article

Expert Systems, n/a (n/a), pp. e12690, 0000.

Abstract | Links | BibTeX

4.

Zhang, Bao Feng; Zhou, Guo Qiang

Control the number of skip-connects to improve robustness of the NAS algorithm Journal Article

IET Computer Vision, n/a (n/a), 0000.

Abstract | Links | BibTeX

3.

Wang, Xingbin; Zhao, Boyan; Hou, Rui; Awad, Amro; Tian, Zhihong; Meng, Dan

NASGuard: A Novel Accelerator Architecture for Robust Neural Architecture Search (NAS) Networks Inproceedings

2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA), 0000.

Links | BibTeX

2.

Zhang, Jianwei; Li, Dong; Wang, Lituan; Zhang, Lei

One-Shot Neural Architecture Search by Dynamically Pruning Supernet in Hierarchical Order Journal Article

International Journal of Neural Systems, 0000, (PMID: 34128778).

Abstract | Links | BibTeX

1.

Shashirangana, Jithmi; Padmasiri, Heshan; Meedeniya, Dulani; Perera, Charith; Nayak, Soumya R; Nayak, Janmenjoy; Vimal, Shanmuganthan; Kadry, Seifidine

License plate recognition using neural architecture search for edge devices Journal Article

International Journal of Intelligent Systems, n/a (n/a), 0000.

Abstract | Links | BibTeX

1239 entries « 25 of 25 »