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Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift


Aug 22, 2021
Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin

* Accepted to ICCV 2021 

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Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition


Mar 31, 2021
Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang

* To appear in IEEE Transactions ON Neural Networks and Learning Systems. We prove that dynamically adapting network architectures tailored for each domain task along with weight finetuning benefits in both efficiency and effectiveness, compared to the existing image recognition pipeline that only tunes the weights regardless of the architecture 

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