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Fast Adversarial Training with Adaptive Step Size



Zhichao Huang , Yanbo Fan , Chen Liu , Weizhong Zhang , Yong Zhang , Mathieu Salzmann , Sabine Süsstrunk , Jue Wang


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Finding Dynamics Preserving Adversarial Winning Tickets



Xupeng Shi , Pengfei Zheng , A. Adam Ding , Yuan Gao , Weizhong Zhang

* Accepted by AISTATS2022 

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Safe Screening for Sparse Conditional Random Fields



Weizhong Zhang , Shuang Qiu


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Efficient Neural Network Training via Forward and Backward Propagation Sparsification



Xiao Zhou , Weizhong Zhang , Zonghao Chen , Shizhe Diao , Tong Zhang


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A Structure Feature Algorithm for Multi-modal Forearm Registration



Jiaxin Li , Yan Ding , Weizhong Zhang , Yifan Zhao , Lingxi Guo , Zhe Yang


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Effective Sparsification of Neural Networks with Global Sparsity Constraint



Xiao Zhou , Weizhong Zhang , Hang Xu , Tong Zhang


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Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning



Xing Yan , Weizhong Zhang , Lin Ma , Wei Liu , Qi Wu

* NeurIPS 2018:1582-1592 

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Convex Formulation of Overparameterized Deep Neural Networks



Cong Fang , Yihong Gu , Weizhong Zhang , Tong Zhang


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A Sufficient Condition for Convergences of Adam and RMSProp



Fangyu Zou , Li Shen , Zequn Jie , Weizhong Zhang , Wei Liu

* This paper provides a sufficient condition for the global convergences of Adam and RMSProp 

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