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Neural architecture search methods seek optimal candidates with efficient weight-sharing supernet training.
Understanding and simplifying one-shot architecture search
Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, and Quoc Le · 2018
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Proxylessnas: Direct neural architecture search on target task and hardware
Han Cai, Ligeng Zhu, and Song Han · 2018
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Manifold regularized correlation object tracking
Hongwei Hu, Bo Ma, Jianbing Shen, and Ling Shao · 2018
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Darts: Differentiable architecture search
Hanxiao Liu, Karen Simonyan, and Yiming Yang · 2018
Earlier work this paper cites.
Efficient neural architecture search via parameter sharing
Hieu Pham, Melody Y Guan, Barret Zoph, Quoc V Le, and Jeff Dean · 2018
Earlier work this paper cites.
Once for all: Train one network and specialize it for efficient deployment
Han Cai, Chuang Gan, and Song Han · 2019
Earlier work this paper cites.
Fairnas: Rethinking evaluation fairness of weight sharing neural architecture search
Xiangxiang Chu, Bo Zhang, Ruijun Xu, and Jixiang Li · 2019
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One-shot neural architecture search via self-evaluated template network
Xuanyi Dong and Yi Yang · 2019
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Single path one-shot neural architecture search with uniform sampling
Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, and Jian Sun · 2019
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Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation
Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L Yuille, and Li Fei-Fei · 2019
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Balanced one-shot neural architecture optimization
Renqian Luo, Tao Qin, and Enhong Chen · 2019
Earlier work this paper cites.
Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, and Kurt Keutzer · 2019
Cited alongside, same era.
Autoslim: Towards one-shot architecture search for channel numbers
Jiahui Yu and Thomas Huang · 2019
Cited alongside, same era.
Object detection with deep learning: A review
Zhong-Qiu Zhao, Peng Zheng, Shou-Tao Xu, and Xindong Wu · 2019
Cited alongside, same era.
Automated design of neural network architectures with reinforcement learning for detection of global manipulations
Yifang Chen, Zheng Wang, Z Jane Wang, and Xiangui Kang · 2020
Cited alongside, same era.
Scene segmentation with dual relation-aware attention network
Jun Fu, Jing Liu, Jie Jiang, Yong Li, Yongjun Bao, and Hanqing Lu · 2020
Cited alongside, same era.
Block proposal neural architecture search
Neural architecture search on imagenet in four gpu hours: A theoretically inspired perspective
Wuyang Chen, Xinyu Gong, and Zhangyang Wang · 2021
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Bnas: Efficient neural architecture search using broad scalable architecture
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, Zhiquan Sun, and CL Philip Chen · 2021
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Nats-bench: Benchmarking nas algorithms for architecture topology and size
Xuanyi Dong, Lu Liu, Katarzyna Musial, and Bogdan Gabrys · 2021
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Nasvit: Neural architecture search for efficient vision transformers with gradient conflict aware supernet training
Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Vikas Chandra, et al · 2021
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Learning efficient, explainable and discriminative representations for pulmonary nodules classification
Hanliang Jiang, Fuhao Shen, Fei Gao, and Weidong Han · 2021
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Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Ken Chen, Wanli Ouyang, and Dong Xu · 2020
Cited alongside, same era.
A distributed framework for ea-based nas
Qing Ye, Yanan Sun, Jixin Zhang, and Jian Cheng Lv · 2020
Cited alongside, same era.
Bignas: Scaling up neural architecture search with big single-stage models
Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, and Quoc V. Le · 2020
Cited alongside, same era.
One-shot neural architecture search: Maximising diversity to overcome catastrophic forgetting
Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, and Steven W Su · 2020
Cited alongside, same era.
Blockqnn: Efficient block-wise neural network architecture generation
Zhao Zhong, Zichen Yang, Boyang Deng, Junjie Yan, Wei Wu, Jing Shao, and Cheng-Lin Liu · 2020
Cited alongside, same era.
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Zen-nas: A zero-shot nas for high-performance image recognition
Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, and Rong Jin · 2021
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Neural architecture search without training
Joseph Charles Mellor, Jack Turner, Amos J. Storkey, and Elliot J. Crowley · 2021
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Partially-connected neural architecture search for reduced computational redundancy
Yuhui Xu, Lingxi Xie, Wenrui Dai, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Hongkai Xiong, and Qi Tian · 2021
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Improving ranking correlation of supernet with candidates enhancement and progressive training
Ziwei Yang, Ruyi Zhang, Zhi Yang, Xubo Yang, Lei Wang, and Zheyang Li · 2021
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Semi-supervised blockwisely architecture search for efficient lightweight generative adversarial network
Man Zhang, Yong Zhou, Jiaqi Zhao, Shixiong Xia, Jiaqi Wang, and Zizheng Huang · 2021
Later among the works it cites.