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Model Complexity of Deep Learning: A Survey


Mar 08, 2021
Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian


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Reinforced Multi-Teacher Selection for Knowledge Distillation


Dec 14, 2020
Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang

* AAAI 2021 

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CalibreNet: Calibration Networks for Multilingual Sequence Labeling


Nov 11, 2020
Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang

* Long paper in WSDM 2021 

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Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test


Nov 01, 2020
Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei


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Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation


Oct 27, 2020
Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang

* Accepted as long paper in COLING 2020 

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A Graph Representation of Semi-structured Data for Web Question Answering


Oct 14, 2020
Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang

* Accepted as long paper in COLING 2020 

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A Survey on Data Pricing: from Economics to Data Science


Sep 09, 2020
Jian Pei


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Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization


Aug 18, 2020
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

* 55 pages 

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Momentum-Based Policy Gradient Methods


Aug 06, 2020
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

* ICML 2020, 24 pages 

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AM-GCN: Adaptive Multi-channel Graph Convolutional Networks


Jul 11, 2020
Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei

* 11 pages, KDD2020 

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Personalized Federated Learning: An Attentive Collaboration Approach


Jul 07, 2020
Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

* Under review 

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Measuring Model Complexity of Neural Networks with Curve Activation Functions


Jun 16, 2020
Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei

* KDD 2020 

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Mining Implicit Relevance Feedback from User Behavior for Web Question Answering


Jun 16, 2020
Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang

* Accepted by KDD 2020 

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Mining Implicit Relevance Feedback from User Behavior forWeb Question Answering


Jun 13, 2020
Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang

* Accepted by KDD 2020 

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Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs


Jun 08, 2020
Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu

* 11 pages plus 8 pages for appendices, 4 figures 

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Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity


Jul 30, 2019
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

* 29 pages, 9 figures and 2 tables. arXiv admin note: text overlap with arXiv:1905.12729 

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Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution


Jun 17, 2019
Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei


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Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution


Feb 17, 2018
Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei

* Under review of KDD 2018 

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Scalable and Accurate Online Feature Selection for Big Data


Jul 28, 2016
Kui Yu, Xindong Wu, Wei Ding, Jian Pei

* This paper has been accepted by the journal of ACM Transactions on Knowledge Discovery from Data (TKDD) and will be available soon 

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