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Fine-grained Data Distribution Alignment for Post-Training Quantization


Sep 09, 2021
Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji


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Error Controlled Actor-Critic


Sep 07, 2021
Xingen Gao, Fei Chao, Changle Zhou, Zhen Ge, Chih-Min Lin, Longzhi Yang, Xiang Chang, Changjing Shang


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Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion


Jul 14, 2021
Mingbao Lin, Rongrong Ji, Bohong Chen, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Qi Tian


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1$\times$N Block Pattern for Network Sparsity


Jun 15, 2021
Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji


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You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient


Jun 04, 2021
Shaokun Zhang, Xiawu Zheng, Chenyi Yang, Yuchao Li, Yan Wang, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji

* 12 pages, 3 figures 

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Towards Compact CNNs via Collaborative Compression


May 24, 2021
Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji

* This paper is published in CVPR 2021 

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Lottery Jackpots Exist in Pre-trained Models


Apr 18, 2021
Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji

* 10 pages, 7 figures 

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SiMaN: Sign-to-Magnitude Network Binarization


Feb 16, 2021
Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao


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Task Augmentation by Rotating for Meta-Learning


Feb 08, 2020
Jialin Liu, Fei Chao, Chih-Min Lin

* 9 pages 

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Decoder Choice Network for Meta-Learning


Sep 25, 2019
Jialin Liu, Fei Chao, Longzhi Yang, Chih-Min Lin, Qiang Shen

* 13papers 

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Stock Prices Prediction using Deep Learning Models


Sep 25, 2019
Jialin Liu, Fei Chao, Yu-Chen Lin, Chih-Min Lin


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Gradient Boost with Convolution Neural Network for Stock Forecast


Sep 19, 2019
Jialin Liu, Chih-Min Lin, Fei Chao

* UKCL2019.11pages 

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