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A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth

Mar 11, 2020
Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying

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Distillation $\approx$ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network

Oct 02, 2019
Bin Dong, Jikai Hou, Yiping Lu, Zhihua Zhang

* Accepted by NeurIPS 2019 Workshop on Machine Learning with Guarantees. Submitted to other places 

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Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View

Jun 06, 2019
Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu

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You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle

May 23, 2019
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong

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CURE: Curvature Regularization For Missing Data Recovery

Jan 28, 2019
Bin Dong, Haocheng Ju, Yiping Lu, Zuoqiang Shi

* 16 pages, 7 figures, 3 tables 

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PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network

Nov 30, 2018
Zichao Long, Yiping Lu, Bin Dong

* 16 pages, 15 figures. arXiv admin note: substantial text overlap with arXiv:1710.09668 

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Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration

Oct 10, 2018
Xiaoshuai Zhang, Yiping Lu, Jiaying Liu, Bin Dong

* The first two authors contributed equally 

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PDE-Net: Learning PDEs from Data

Jan 01, 2018
Zichao Long, Yiping Lu, Xianzhong Ma, Bin Dong

* 15 pages, 13 figures 

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Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations

Nov 01, 2017
Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong

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