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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.

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.


1515 entries « 30 of 31 »

2018

65.

Bender, Gabriel; Kindermans, Pieter-Jan; Zoph, Barret; Vasudevan, Vijay; Le, Quoc V

Understanding and Simplifying One-Shot Architecture Search Inproceedings

In: pp. 549-558, 2018.

Links | BibTeX

64.

Dong, Jin-Dong; Cheng, An-Chieh; Juan, Da-Cheng; Wei, Wei; Sun, Min

PPP-Net - Platform-aware Progressive Search for Pareto-optimal Neural Architectures Inproceedings

In: 2018.

Links | BibTeX

63.

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

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

In: 17 (2), pp. 1850008:1-1850008:15, 2018.

Links | BibTeX

62.

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

GitGraph - from Computational Subgraphs to Smaller Architecture Search Spaces Inproceedings

In: 2018.

Links | BibTeX

61.

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

N2N learning - Network to Network Compression via Policy Gradient Reinforcement Learning Inproceedings

In: 2018.

Links | BibTeX

60.

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 Inproceedings

In: pp. 1586-1595, 2018.

Links | BibTeX

59.

Ahmed, Karim; Torresani, Lorenzo

MaskConnect - Connectivity Learning by Gradient Descent Inproceedings

In: pp. 362-378, 2018.

Links | BibTeX

58.

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

A Flexible Approach to Automated RNN Architecture Generation Inproceedings

In: 2018.

Links | BibTeX

57.

Suganuma, Masanori; Shirakawa, Shinichi; Nagao, Tomoharu

A Genetic Programming Approach to Designing Convolutional Neural Network Architectures Inproceedings

In: pp. 5369-5373, 2018.

Links | BibTeX

56.

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

Practical Block-Wise Neural Network Architecture Generation Inproceedings

In: pp. 2423-2432, 2018.

Links | BibTeX

55.

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

Accelerating Neural Architecture Search using Performance Prediction Inproceedings

In: 2018.

Links | BibTeX

54.

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

Hierarchical Representations for Efficient Architecture Search Inproceedings

In: 2018.

Links | BibTeX

53.

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

Learning Transferable Architectures for Scalable Image Recognition Inproceedings

In: pp. 8697-8710, 2018.

Links | BibTeX

52.

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

Simple and efficient architecture search for Convolutional Neural Networks Inproceedings

In: 2018.

Links | BibTeX

51.

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

Hyperparameter optimization - a spectral approach Inproceedings

In: 2018.

Links | BibTeX

50.

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

SMASH - One-Shot Model Architecture Search through HyperNetworks Inproceedings

In: 2018.

Links | BibTeX

49.

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

Efficient Architecture Search by Network Transformation Inproceedings

In: pp. 2787-2794, 2018.

Links | BibTeX

2017

48.

Chang, Hao

Skin cancer reorganization and classification with deep neural network Technical Report

2017.

Links | BibTeX

47.

Suganuma, Masanori; Shirakawa, Shinichi; Nagao, Tomoharu

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

2017.

Links | BibTeX

46.

Chang, Hao

Skin cancer reorganization and classification with deep neural network Technical Report

2017.

Links | BibTeX

45.

Kani, Nagoor J; Elsheikh, Ahmed H

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

2017.

Links | BibTeX

44.

Sun, Yanan; Xue, Bing; Zhang, Mengjie

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

, 2017.

Links | BibTeX

43.

Negrinho, Renato; Gordon, Geoffrey J

DeepArchitect - Automatically Designing and Training Deep Architectures Technical Report

, 2017.

Links | BibTeX

42.

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

In: pp. 2902-2911, 2017.

Links | BibTeX

41.

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

Neural Optimizer Search with Reinforcement Learning Inproceedings

In: pp. 459-468, 2017.

Links | BibTeX

40.

Wistuba, Martin

Finding Competitive Network Architectures Within a Day Using UCT Technical Report

, 2017.

Links | BibTeX

39.

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

AdaNet - Adaptive Structural Learning of Artificial Neural Networks Inproceedings

In: pp. 874-883, 2017.

Links | BibTeX

38.

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

Designing Neural Network Architectures using Reinforcement Learning Inproceedings

In: 2017.

Links | BibTeX

37.

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

Learning Curve Prediction with Bayesian Neural Networks Inproceedings

In: 2017.

Links | BibTeX

36.

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

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

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

Links | BibTeX

2016

35.

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

Combining Recurrent and Convolutional Neural Networks for Relation Classification Technical Report

2016.

Links | BibTeX

34.

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

33.

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

Neural networks designing neural networks - multi-objective hyper-parameter optimization Inproceedings

In: pp. 104, 2016.

Links | BibTeX

32.

Saxena, Shreyas; Verbeek, Jakob

Convolutional Neural Fabrics Inproceedings

In: pp. 4053-4061, 2016.

Links | BibTeX

31.

Loshchilov, Ilya; Hutter, Frank

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

, 2016.

Links | BibTeX

30.

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

Net2Net - Accelerating Learning via Knowledge Transfer Inproceedings

In: 2016.

Links | BibTeX

29.

Chen, Justin

Combinatorially Generated Piecewise Activation Functions Technical Report

2016.

Links | BibTeX

2015

28.

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

27.

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

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

Links | BibTeX

2013

26.

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

25.

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

A comprehensive review of firefly algorithms Technical Report

2013.

Links | BibTeX

2012

24.

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

23.

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

Practical Bayesian Optimization of Machine Learning Algorithms Inproceedings

In: pp. 2960-2968, 2012.

Links | BibTeX

2009

22.

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

21.

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

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

In: 15 (2), pp. 185-212, 2009.

Links | BibTeX

2008

20.

Floreano, Dario; Dürr, Peter; Mattiussi, Claudio

Neuroevolution - from architectures to learning Journal Article

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

Links | BibTeX

2005

19.

Czarnowski, Ireneusz; Jedrzejowicz, Piotr

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

In: pp. 197-202, 2005.

Links | BibTeX

2004

18.

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

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

In: 20 (3), pp. 215-229, 2004.

Links | BibTeX

1994

17.

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

An evolutionary algorithm that constructs recurrent neural networks Journal Article

In: 5 (1), pp. 54-65, 1994.

Links | BibTeX

1990

16.

Kitano, Hiroaki

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

In: 4 (4), 1990.

Links | BibTeX

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