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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.


2248 entries « 41 of 45 »

2019

248.

Jaâfra, Yesmina; Laurent, Jean Luc; Deruyver, Aline; Naceur, Mohamed Saber

Reinforcement learning for neural architecture search - A review Journal Article

In: vol. 89, pp. 57-66, 2019.

Links | BibTeX

247.

Li, Yaoman; King, Irwin

Architecture Search for Image Inpainting Inproceedings

In: pp. 106-115, 2019.

Links | BibTeX

246.

Märtens, Marcus; Izzo, Dario

Neural network architecture search with differentiable cartesian genetic programming for regression Inproceedings

In: pp. 181-182, 2019.

Links | BibTeX

245.

Chu, Xiangxiang; Zhang, Bo; Xu, Ruijun; Li, Jixiang

FairNAS - Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search Inproceedings

In: International Conference on Computer Vision 2021, 2019.

Links | BibTeX

244.

Lakhmiri, Dounia; Digabel, Sébastien Le; Tribes, Christophe

HyperNOMAD - Hyperparameter optimization of deep neural networks using mesh adaptive direct search Technical Report

2019.

Links | BibTeX

243.

Behjat, Amir; Chidambaran, Sharat; Chowdhury, Souma

Adaptive Genomic Evolution of Neural Network Topologies (AGENT) for State-to-Action Mapping in Autonomous Agents Inproceedings

In: pp. 9638-9644, 2019.

Links | BibTeX

242.

Cheng, Hsin-Pai; Zhang, Tunhou; Yang, Yukun; Yan, Feng; Li, Shiyu; Teague, Harris; Li, Hai Helen; Chen, Yiran

SwiftNet - Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures Technical Report

2019.

Links | BibTeX

241.

Borsos, Zalán; Khorlin, Andrey; Gesmundo, Andrea

Transfer NAS - Knowledge Transfer between Search Spaces with Transformer Agents Technical Report

2019.

Links | BibTeX

240.

Nayman, Niv; Noy, Asaf; Ridnik, Tal; Friedman, Itamar; Jin, Rong; Zelnik-Manor, Lihi

XNAS - Neural Architecture Search with Expert Advice Inproceedings

In: pp. 1975-1985, 2019.

Links | BibTeX

239.

Singh, Prabhant; Jacobs, Tobias; Nicolas, Sebastien; Schmidt, Mischa

A Study of the Learning Progress in Neural Architecture Search Techniques Technical Report

2019.

Links | BibTeX

238.

Srinivas, Sai Vineeth Kalluru; Nair, Harideep; Vidyasagar, Vinay

Hardware Aware Neural Network Architectures using FbNet Technical Report

2019.

Links | BibTeX

237.

Wang, Linnan; Xie, Saining; Li, Teng; Fonseca, Rodrigo; Tian, Yuandong

Sample-Efficient Neural Architecture Search by Learning Action Space Technical Report

2019.

Links | BibTeX

236.

Cheng, Hsin-Pai; Zhang, Tunhou; Yang, Yukun; Yan, Feng; Li, Shiyu; Teague, Harris; Li, Hai Helen; Chen, Yiran

SwiftNet - Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures Technical Report

2019.

Links | BibTeX

235.

Yu, Qihang; Yang, Dong; Roth, Holger; Bai, Yutong; Zhang, Yixiao; Yuille, Alan L; Xu, Daguang

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation Technical Report

2019.

Links | BibTeX

234.

Pasunuru, Ramakanth; Bansal, Mohit

Continual and Multi-Task Architecture Search Inproceedings

In: pp. 1911-1922, 2019.

Links | BibTeX

233.

Cho, Minsu; Soltani, Mohammadreza; Hegde, Chinmay

One-Shot Neural Architecture Search via Compressive Sensing Technical Report

2019.

Links | BibTeX

232.

Zhu, Zhuotun; Liu, Chenxi; Yang, Dong; Yuille, Alan L; Xu, Daguang

V-NAS - Neural Architecture Search for Volumetric Medical Image Segmentation Inproceedings

In: pp. 240-248, 2019.

Links | BibTeX

231.

An, Jie; Xiong, Haoyi; Ma, Jinwen; Luo, Jiebo; Huan, Jun

StyleNAS - An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks Technical Report

2019.

Links | BibTeX

230.

Hu, Hanzhang; Langford, John; Caruana, Rich; Mukherjee, Saurajit; Horvitz, Eric; Dey, Debadeepta

Efficient Forward Architecture Search Inproceedings

In: pp. 10122-10131, 2019.

Links | BibTeX

229.

Yao, Quanming; Xu, Ju; Tu, Wei-Wei; Zhu, Zhanxing

Differentiable Neural Architecture Search via Proximal Iterations Technical Report

2019.

Links | BibTeX

228.

Zheng, Xiawu; Ji, Rongrong; Tang, Lang; Wan, Yan; Zhang, Baochang; Wu, Yongjian; Wu, Yunsheng; Shao, Ling

Dynamic Distribution Pruning for Efficient Network Architecture Search Technical Report

2019.

Links | BibTeX

227.

Junior, Francisco Erivaldo Fernandes; Yen, Gary G

Particle swarm optimization of deep neural networks architectures for image classification Journal Article

In: vol. 49, pp. 62-74, 2019.

Links | BibTeX

226.

Radosavovic, Ilija; Johnson, Justin; Xie, Saining; Lo, Wan-Yen; Dollár, Piotr

On Network Design Spaces for Visual Recognition Inproceedings

In: pp. 1882-1890, 2019.

Links | BibTeX

225.

Tan, Mingxing; Le, Quoc V

EfficientNet - Rethinking Model Scaling for Convolutional Neural Networks Inproceedings

In: pp. 6105-6114, 2019.

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224.

Pahuja, Vardaan; Fu, Jie; Chandar, Sarath; Pal, Christopher Joseph

Structure Learning for Neural Module Networks Inproceedings

In: pp. 1-10, 2019.

Links | BibTeX

223.

Fedorov, Igor; Adams, Ryan P; Mattina, Matthew; Whatmough, Paul N

SpArSe - Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers Inproceedings

In: pp. 4978-4990, 2019.

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222.

Dong, Xuanyi; Yang, Yi

Network Pruning via Transformable Architecture Search Inproceedings

In: pp. 759-770, 2019.

Links | BibTeX

221.

Cho, Hyunghun; Kim, Yongjin; Lee, Eunjung; Choi, Daeyoung; Lee, Yongjae; Rhee, Wonjong

DEEP-BO for Hyperparameter Optimization of Deep Networks Technical Report

2019.

Links | BibTeX

220.

Akimoto, Youhei; Shirakawa, Shinichi; Yoshinari, Nozomu; Uchida, Kento; Saito, Shota; Nishida, Kouhei

Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search Inproceedings

In: pp. 171-180, 2019.

Links | BibTeX

219.

Zheng, Xiawu; Ji, Rongrong; Tang, Lang; Zhang, Baochang; Liu, Jianzhuang; Tian, Qi

Multinomial Distribution Learning for Effective Neural Architecture Search Inproceedings

In: pp. 1304-1313, 2019.

Links | BibTeX

218.

Zhu, Hui; An, Zhulin; Yang, Chuanguang; Xu, Kaiqiang; Zhao, Erhu; Xu, Yongjun

EENA - Efficient Evolution of Neural Architecture Inproceedings

In: pp. 1891-1899, 2019.

Links | BibTeX

217.

Byla, Edvinas; Pang, Wei

DeepSwarm - Optimising Convolutional Neural Networks Using Swarm Intelligence Inproceedings

In: pp. 119-130, 2019.

Links | BibTeX

216.

Saikia, Tonmoy; Marrakchi, Yassine; Zela, Arber; Hutter, Frank; Brox, Thomas

AutoDispNet - Improving Disparity Estimation With AutoML Inproceedings

In: pp. 1812-1823, 2019.

Links | BibTeX

215.

Lin, Chen; Guo, Minghao; Li, Chuming; Yuan, Xin; Wu, Wei; Yan, Junjie; Lin, Dahua; Ouyang, Wanli

Online Hyper-Parameter Learning for Auto-Augmentation Strategy Inproceedings

In: pp. 6578-6587, 2019.

Links | BibTeX

214.

Saltori, Cristiano; Roy, Subhankar; Sebe, Nicu; Iacca, Giovanni

Regularized Evolutionary Algorithm for Dynamic Neural Topology Search Inproceedings

In: pp. 219-230, 2019.

Links | BibTeX

213.

Ma, Lizheng; Cui, Jiaxu; Yang, Bo

Deep Neural Architecture Search with Deep Graph Bayesian Optimization Inproceedings

In: pp. 500-507, 2019.

Links | BibTeX

212.

Laredo, David; Qin, Yulin; Schütze, Oliver; Sun, Jian-Qiao

Automatic Model Selection for Neural Networks Technical Report

2019.

Links | BibTeX

211.

Klein, Aaron; Hutter, Frank

Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization Technical Report

2019.

Links | BibTeX

210.

Zhou, Hongpeng; Yang, Minghao; Wang, Jun; Pan, Wei

BayesNAS - A Bayesian Approach for Neural Architecture Search Inproceedings

In: pp. 7603-7613, 2019.

Links | BibTeX

209.

Stamoulis, Dimitrios; Ding, Ruizhou; Wang, Di; Lymberopoulos, Dimitrios; Priyantha, Bodhi; Liu, Jie; Marculescu, Diana

Single-Path NAS - Device-Aware Efficient ConvNet Design Technical Report

2019.

Links | BibTeX

208.

Assunção, Filipe; Correia, João; Conceição, Rúben; Pimenta, Mário; Tomé, Bernardo; Lourenço, Nuno; Machado, Penousal

Automatic Design of Artificial Neural Networks for Gamma-Ray Detection Journal Article

In: vol. 7, pp. 110531-110540, 2019.

Links | BibTeX

207.

Jiang, Yang; Zhao, Cong; Pang, Lei

Neural Architecture Refinement - A Practical Way for Avoiding Overfitting in NAS Technical Report

2019.

Links | BibTeX

206.

Hahn, Lukas; Roese-Koerner, Lutz; Friedrichs, Klaus; Kummert, Anton

Fast and reliable architecture selection for convolutional neural networks Inproceedings

In: 2019.

Links | BibTeX

205.

Chang, Jianlong; Zhang, Xinbang; Guo, Yiwen; Meng, Gaofeng; Xiang, Shiming; Pan, Chunhong

Differentiable Architecture Search with Ensemble Gumbel-Softmax Technical Report

2019.

Links | BibTeX

204.

Dong, Xuanyi; Yang, Yi

Searching for a Robust Neural Architecture in Four GPU Hours Inproceedings

In: pp. 1761-1770, 2019.

Links | BibTeX

203.

Sun, Yanan; Yen, Gary G; Yi, Zhang

Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations Journal Article

In: vol. 23, no. 1, pp. 89-103, 2019.

Links | BibTeX

202.

Chen, Yushi; Zhu, Kaiqiang; Zhu, Lin; He, Xin; Ghamisi, Pedram; Benediktsson, Atli Jón

Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification Journal Article

In: vol. 57, no. 9, pp. 7048-7066, 2019.

Links | BibTeX

201.

Chen, Xin; Xie, Lingxi; Wu, Jun; Tian, Qi

Progressive Differentiable Architecture Search - Bridging the Depth Gap Between Search and Evaluation Inproceedings

In: pp. 1294-1303, 2019.

Links | BibTeX

200.

Han, Song; Cai, Han; Zhu, Ligeng; Lin, Ji; Wang, Kuan; Liu, Zhijian; Lin, Yujun

Design Automation for Efficient Deep Learning Computing Technical Report

2019.

Links | BibTeX

199.

Pakrashi, Arjun; Namee, Brian Mac

CascadeML - An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification (Best Technical Paper) Inproceedings

In: pp. 3-17, 2019.

Links | BibTeX

2248 entries « 41 of 45 »