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Federated Pruning: Improving Neural Network Efficiency with Federated Learning


Sep 14, 2022
Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays

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* To appear in INTERSPEECH 2022 

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PAM: Understanding Product Images in Cross Product Category Attribute Extraction


Jun 08, 2021
Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong

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* KDD 2021 

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Learning with Hyperspherical Uniformity


Mar 02, 2021
Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller

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* AISTATS 2021 

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Orthogonal Over-Parameterized Training


Apr 09, 2020
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song

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* Technical Report 

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Compressive Hyperspherical Energy Minimization


Jun 12, 2019
Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song

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Learning towards Minimum Hyperspherical Energy


Oct 27, 2018
Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song

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* NIPS 2018 

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Deformable Part Networks


May 22, 2018
Ziming Zhang, Rongmei Lin, Alan Sullivan

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Decoupled Networks


Apr 22, 2018
Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song

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* CVPR 2018 (Spotlight) 

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Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification


Aug 05, 2016
Weiyang Liu, Zhiding Yu, Yandong Wen, Rongmei Lin, Meng Yang

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* To appear in BMVC 2016 

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Robust Elastic Net Regression


May 01, 2016
Weiyang Liu, Rongmei Lin, Meng Yang

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