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To search an optimal sub-network within a general deep neural network (DNN), existing neural architecture search (NAS) methods typically rely on handcrafting a search space beforehand.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Learning multiple layers of features from tiny images
A. Krizhevsky and G. Hinton · 2009
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The composite absolute penalties family for grouped and hierarchical variable selection
Peng Zhao, Guilherme Rocha, and Bin Yu · 2009
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An analysis of single-layer networks in unsupervised feature learning
Adam Coates, Andrew Ng, and Honglak Lee · 2011
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Reading digits in natural images with unsupervised feature learning
Yuval Netzer, Tao Wang, Adam Coates, Alessandro Bissacco, Bo Wu, and Andrew Y Ng · 2011
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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A proximal stochastic gradient method with progressive variance reduction
Lin Xiao and Tong Zhang · 2014
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
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Deep learning , volume 1
Ian Goodfellow, Yoshua Bengio, Aaron Courville, and Yoshua Bengio · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Neural architecture search with reinforcement learning
Barret Zoph and Quoc V Le · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017
Han Xiao, Kashif Rasul, and Roland Vollgraf · 2017
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mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz · 2017
Cited alongside, same era.
Proxylessnas: Direct neural architecture search on target task and hardware
Han Cai, Ligeng Zhu, and Song Han · 2018
Cited alongside, same era.
Efficient multi-objective neural architecture search via lamarckian evolution
Thomas Elsken, Jan Hendrik Metzen, and Frank Hutter · 2018
Cited alongside, same era.
Darts: Differentiable architecture search
Hanxiao Liu, Karen Simonyan, and Yiming Yang · 2018
Cited alongside, same era.
Shufflenet v2: Practical guidelines for efficient cnn architecture design
Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng, and Jian Sun · 2018
Designing network design spaces
Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, Kaiming He, and Piotr Dollár · 2020
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Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
Laura Rieger, Chandan Singh, William Murdoch, and Bin Yu · 2020
Later among the works it cites.
Ista-nas: Efficient and consistent neural architecture search by sparse coding
Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, and Zhouchen Lin · 2020
Later among the works it cites.
Theory-inspired path-regularized differential network architecture search
Pan Zhou, Caiming Xiong, Richard Socher, and Steven Chu Hong Hoi · 2020
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Structured sparsity inducing adaptive optimizers for deep learning
Tristan Deleu and Yoshua Bengio · 2021
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Cited alongside, same era.
Efficient neural architecture search via parameters sharing
Hieu Pham, Melody Guan, Barret Zoph, Quoc Le, and Jeff Dean · 2018
Cited alongside, same era.
Learning transferable architectures for scalable image recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V Le · 2018
Cited alongside, same era.
Progressive differentiable architecture search: Bridging the depth gap between search and evaluation
Xin Chen, Lingxi Xie, Jun Wu, and Qi Tian · 2019
Cited alongside, same era.
Toward compact convnets via structure-sparsity regularized filter pruning
Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, and Xuelong Li · 2019
Cited alongside, same era.
Regularized evolution for image classifier architecture search
Esteban Real, Alok Aggarwal, Yanping Huang, and Quoc V Le · 2019
Cited alongside, same era.
Mnasnet: Platform-aware neural architecture search for mobile
Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, and Quoc V Le · 2019
Cited alongside, same era.
Nas-unet: Neural architecture search for medical image segmentation
Yu Weng, Tianbao Zhou, Yujie Li, and Xiaoyu Qiu · 2019
Cited alongside, same era.
Zen-nas: A zero-shot nas for high-performance deep image recognition
Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, and Rong Jin · 2021
Later among the works it cites.
Autospace: Neural architecture search with less human interference
Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, and Jiashi Feng · 2021
Later among the works it cites.
Automatic generation of neural architecture search spaces
David Calhas, Vasco M Manquinho, and Ines Lynce · 2022
Later among the works it cites.
Sparsity-guided network design for frame interpolation
Tianyu Ding, Luming Liang, Zhihui Zhu, Tianyi Chen, and Ilya Zharkov · 2022
Later among the works it cites.
Saliency-aware neural architecture search
Ramtin Hosseini and Pengtao Xie · 2022
Later among the works it cites.
Automated super-network generation for scalable neural architecture search
J. Pablo Muñoz, Nikolay Lyalyushkin, Chaunte Lacewell, Anastasia Senina, Daniel Cummings, Anthony Sarah, Alexander Kozlov, and Nilesh Jain · 2022
Later among the works it cites.
Otov2: Automatic, generic, user-friendly
Tianyi Chen, Luming Liang, DING Tianyu, Zhihui Zhu, and Ilya Zharkov · 2023
Closest in time.
An adaptive half-space projection method for stochastic optimization problems with group sparse regularization
Yutong Dai, Tianyi Chen, Guanyi Wang, and Daniel Robinson · 2023
Closest in time.
Zico: Zero-shot nas via inverse coefficient of variation on gradients
Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, and Radu Marculescu · 2023
Closest in time.