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BinaryBERT: Pushing the Limit of BERT Quantization

Dec 31, 2020
Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael Lyu, Irwin King


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Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation

Oct 24, 2020
Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael Lyu, Xing Wang


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Learning 3D Face Reconstruction with a Pose Guidance Network

Oct 09, 2020
Pengpeng Liu, Xintong Han, Michael Lyu, Irwin King, Jia Xu

* ACCV 2020 (Oral) 

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Why an Android App is Classified as Malware? Towards Malware Classification Interpretation

Apr 24, 2020
Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael Lyu


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Discrete Variational Attention Models for Language Generation

Apr 21, 2020
Xianghong Fang, Haoli Bai, Zenglin Xu, Michael Lyu, Irwin King

* 7 pages, 3 figures 

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Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching

Apr 05, 2020
Pengpeng Liu, Irwin King, Michael Lyu, Jia Xu

* Published at the Conference on Computer Vision and Pattern Recognition (CVPR 2020) 

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Few Shot Network Compression via Cross Distillation

Nov 21, 2019
Haoli Bai, Jiaxiang Wu, Irwin King, Michael Lyu

* AAAI 2020 

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Detecting Deep Neural Network Defects with Data Flow Analysis

Sep 30, 2019
Jiazhen Gu, Huanlin Xu, Yangfan Zhou, Xin Wang, Hui Xu, Michael Lyu

* 2 pages 

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SelFlow: Self-Supervised Learning of Optical Flow

Apr 19, 2019
Pengpeng Liu, Michael Lyu, Irwin King, Jia Xu

* Published at the Conference on Computer Vision and Pattern Recognition (CVPR 2019) 

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Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization

Nov 11, 2016
Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael Lyu


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