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.


3271 entries « 63 of 66 »

2019

171.

van Wyk, Gerard Jacques; Bosman, Anna Sergeevna

Evolutionary Neural Architecture Search for Image Restoration Proceedings Article

In: pp. 1-8, 2019.

Links | BibTeX

170.

Guo, Minghao; Zhong, Zhao; Wu, Wei; Lin, Dahua; Yan, Junjie

IRLAS - Inverse Reinforcement Learning for Architecture Search Proceedings Article

In: pp. 9021-9029, 2019.

Links | BibTeX

169.

Wu, Bichen; Dai, Xiaoliang; Zhang, Peizhao; Wang, Yanghan; Sun, Fei; Wu, Yiming; Tian, Yuandong; Vajda, Peter; Jia, Yangqing; Keutzer, Kurt

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search Technical Report

2019.

Links | BibTeX

168.

Cai, Han; Zhu, Ligeng; Han, Song

ProxylessNAS - Direct Neural Architecture Search on Target Task and Hardware Proceedings Article

In: 2019.

Links | BibTeX

167.

Cai, Lile; Barneche, Anne-Maelle; Herbout, Arthur; Foo, Chuan Sheng; Lin, Jie; Chandrasekhar, Vijay Ramaseshan; Aly, Mohamed Sabry M

TEA-DNN - the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks Proceedings Article

In: pp. 1-6, 2019.

Links | BibTeX

166.

Piergiovanni, A J; Angelova, Anelia; Toshev, Alexander; Ryoo, Michael S

Evolving Space-Time Neural Architectures for Videos Proceedings Article

In: pp. 1793-1802, 2019.

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165.

Geifman, Yonatan; El-Yaniv, Ran

Deep Active Learning with a Neural Architecture Search Proceedings Article

In: pp. 5974-5984, 2019.

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164.

Véniat, Tom; Schwander, Olivier; Denoyer, Ludovic

Stochastic Adaptive Neural Architecture Search for Keyword Spotting Proceedings Article

In: pp. 2842-2846, 2019.

Links | BibTeX

163.

Hundt, Andrew; Jain, Varun; Lin, Chia-Hung; Paxton, Chris; Hager, Gregory D

The CoSTAR Block Stacking Dataset - Learning with Workspace Constraints Proceedings Article

In: pp. 1797-1804, 2019.

Links | BibTeX

162.

Nekrasov, Vladimir; Chen, Hao; Shen, Chunhua; Reid, Ian D

Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells Proceedings Article

In: pp. 9126-9135, 2019.

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161.

van Stein, Bas; Wang, Hao; Bäck, Thomas

Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization Proceedings Article

In: pp. 1-7, 2019.

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160.

White, Colin; Neiswanger, Willie; Savani, Yash

BANANAS - Bayesian Optimization with Neural Architectures for Neural Architecture Search Technical Report

2019.

Links | BibTeX

159.

Wistuba, Martin; Rawat, Ambrish; Pedapati, Tejaswini

A Survey on Neural Architecture Search Technical Report

2019.

Links | BibTeX

158.

Chen, Yukang; Meng, Gaofeng; Zhang, Qian; Xiang, Shiming; Huang, Chang; Mu, Lisen; Wang, Xinggang

RENAS - Reinforced Evolutionary Neural Architecture Search Proceedings Article

In: pp. 4787-4796, 2019.

Links | BibTeX

157.

Bashivan, Pouya; Tensen, Mark; DiCarlo, James J

Teacher Guided Architecture Search Proceedings Article

In: pp. 5319-5328, 2019.

Links | BibTeX

156.

Tan, Mingxing; Chen, Bo; Pang, Ruoming; Vasudevan, Vijay; Sandler, Mark; Howard, Andrew; Le, Quoc V

MnasNet - Platform-Aware Neural Architecture Search for Mobile Proceedings Article

In: pp. 2820-2828, 2019.

Links | BibTeX

155.

Istrate, Roxana; Scheidegger, Florian; Mariani, Giovanni; Nikolopoulos, Dimitrios S; Bekas, Constantine; Malossi, Adelmo Cristiano Innocenza

TAPAS - Train-Less Accuracy Predictor for Architecture Search Proceedings Article

In: pp. 3927-3934, 2019.

Links | BibTeX

154.

Real, Esteban; Aggarwal, Alok; Huang, Yanping; Le, Quoc V

Regularized Evolution for Image Classifier Architecture Search Proceedings Article

In: pp. 4780-4789, 2019.

Links | BibTeX

153.

Märtens, Marcus; Izzo, Dario

Neural network architecture search with differentiable cartesian genetic programming for regression Proceedings Article

In: pp. 181-182, 2019.

Links | BibTeX

152.

Cao, Shengcao; Wang, Xiaofang; Kitani, Kris M

Learnable Embedding Space for Efficient Neural Architecture Compression Technical Report

2019.

Links | BibTeX

151.

Mendoza, Hector; Klein, Aaron; Feurer, Matthias; Springenberg, Jost Tobias; Urban, Matthias; Burkart, Michael; Dippel, Maximilian; Lindauer, Marius; Hutter, Frank

Towards Automatically-Tuned Deep Neural Networks Technical Report

2019.

Links | BibTeX

150.

Kwasigroch, Arkadiusz; Grochowski, Michal; Mikolajczyk, Mateusz

Deep neural network architecture search using network morphism Proceedings Article

In: pp. 30-35, 2019.

Links | BibTeX

2018

149.

Lindqvist, Blerta; Sugrim, Shridatt; Izmailov, Rauf

AutoGAN: Robust Classifier Against Adversarial Attacks Technical Report

2018.

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148.

Sun, Man-Chin; Hsu, Shih-Huan; Yang, Min-Chun; Chien, Jen-Hsien

Context-aware Cascade Attention-based RNN for Video Emotion Recognition Technical Report

2018.

Links | BibTeX

147.

Ritter, Hippolyt; Botev, Aleksandar; Barber, David

Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting Technical Report

2018.

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146.

Zhang, Honglei; Kiranyaz, Serkan; Gabbouj, Moncef

Finding Better Topologies for Deep Convolutional Neural Networks by Evolution Technical Report

2018.

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145.

Kandasamy, Kirthevasan; Neiswanger, Willie; Schneider, Jeff; Poczos, Barnabas; Xing, Eric

Neural Architecture Search with Bayesian Optimisation and Optimal Transport Technical Report

2018.

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144.

Hamraz, Hamid; Jacobs, Nathan B; Contreras, Marco A; Clark, Chase H

Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees Technical Report

2018.

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143.

Perez-Rua, Juan-Manuel; Baccouche, Moez; Pateux, Stephane

Efficient Progressive Neural Architecture Search Technical Report

2018.

Links | BibTeX

142.

Deglint, Jason L; Jin, Chao; Chao, Angela; Wong, Alexander

The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features Technical Report

2018.

Links | BibTeX

141.

Kamath, Purushotham; Singh, Abhishek; Dutta, Debo

AMLA: an AutoML frAmework for Neural Network Design Technical Report

2018.

Links | BibTeX

140.

de Laroussilhe, Quentin; Jastrzebski, Stanislaw; Houlsby, Neil; Gesmundo, Andrea

Neural Architecture Search Over a Graph Search Space Technical Report

2018.

Links | BibTeX

139.

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

A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search Technical Report

2018.

Links | BibTeX

138.

Wu, Bichen; Wang, Yanghan; Zhang, Peizhao; Tian, Yuandong; Vajda, Peter; Keutzer, Kurt

Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search Technical Report

2018.

Links | BibTeX

137.

Wang, Bin; Sun, Yanan; Xue, Bing; Zhang, Mengjie

Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification Proceedings Article

In: pp. 1-8, 2018.

Links | BibTeX

136.

Wang, Bin; Sun, Yanan; Xue, Bing; Zhang, Mengjie

A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification Proceedings Article

In: pp. 237-250, 2018.

Links | BibTeX

135.

Maziarz, Krzysztof; Khorlin, Andrey; de Laroussilhe, Quentin; Gesmundo, Andrea

Evolutionary-Neural Hybrid Agents for Architecture Search Technical Report

2018.

Links | BibTeX

134.

Chen, Yukang; Meng, Gaofeng; Zhang, Qian; Zhang, Xinbang; Song, Liangchen; Xiang, Shiming; Pan, Chunhong

Joint Neural Architecture Search and Quantization Technical Report

2018.

Links | BibTeX

133.

Wong, Catherine; Houlsby, Neil; Lu, Yifeng; Gesmundo, Andrea

Transfer Learning with Neural AutoML Proceedings Article

In: pp. 8366-8375, 2018.

Links | BibTeX

132.

Fielding, Ben; Zhang, Li

Evolving Image Classification Architectures With Enhanced Particle Swarm Optimisation Journal Article

In: vol. 6, pp. 68560-68575, 2018.

Links | BibTeX

131.

Lu, Zhichao; Whalen, Ian; Boddeti, Vishnu; Dhebar, Yashesh D; Deb, Kalyanmoy; Goodman, Erik D; Banzhaf, Wolfgang

NSGA-NET - A Multi-Objective Genetic Algorithm for Neural Architecture Search Technical Report

2018.

Links | BibTeX

130.

Zhang, Xinbang; Huang, Zehao; Wang, Naiyan

You Only Search Once - Single Shot Neural Architecture Search via Direct Sparse Optimization Technical Report

2018.

Links | BibTeX

129.

Sun, Yanan; Xue, Bing; Zhang, Mengjie

Automatically Evolving CNN Architectures Based on Blocks Technical Report

2018.

Links | BibTeX

128.

Mitschke, Norbert; Heizmann, Michael; Noffz, Klaus-Henning; Wittmann, Ralf

Gradient Based Evolution to Optimize the Structure of Convolutional Neural Networks Proceedings Article

In: pp. 3438-3442, 2018.

Links | BibTeX

127.

Cheng, An-Chieh; Dong, Jin-Dong; Hsu, Chi-Hung; Chang, Shu-Huan; Sun, Min; Chang, Shih-Chieh; Pan, Jia-Yu; Chen, Yu-Ting; Wei, Wei; Juan, Da-Cheng

Searching toward pareto-optimal device-aware neural architectures Proceedings Article

In: pp. 136, 2018.

Links | BibTeX

126.

Chen, Junkun; Chen, Kaiyu; Chen, Xinchi; Qiu, Xipeng; Huang, Xuanjing

Exploring Shared Structures and Hierarchies for Multiple NLP Tasks Technical Report

2018.

Links | BibTeX

125.

Zhong, Zhao; Yang, Zichen; Deng, Boyang; Yan, Junjie; Wu, Wei; Shao, Jing; Liu, Cheng-Lin

BlockQNN - Efficient Block-wise Neural Network Architecture Generation Technical Report

2018.

Links | BibTeX

124.

Zela, Arber; Klein, Aaron; Falkner, Stefan; Hutter, Frank

Towards Automated Deep Learning - Efficient Joint Neural Architecture and Hyperparameter Search Technical Report

2018.

Links | BibTeX

123.

Mortazi, Aliasghar; Bagci, Ulas

Automatically Designing CNN Architectures for Medical Image Segmentation Proceedings Article

In: pp. 98-106, 2018.

Links | BibTeX

122.

Hsu, Chi-Hung; Chang, Shu-Huan; Juan, Da-Cheng; Pan, Jia-Yu; Chen, Yu-Ting; Wei, Wei; Chang, Shih-Chieh

MONAS - Multi-Objective Neural Architecture Search using Reinforcement Learning Technical Report

2018.

Links | BibTeX

3271 entries « 63 of 66 »