Multi-consensus Decentralized Accelerated Gradient Descent

May 02, 2020
Haishan Ye, Luo Luo, Ziang Zhou, Tong Zhang


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NetML: A Challenge for Network Traffic Analytics

Apr 25, 2020
Onur Barut, Yan Luo, Tong Zhang, Weigang Li, Peilong Li

* 27 pages, 39 figures, 7 tables 

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Keyphrase Generation with Cross-Document Attention

Apr 21, 2020
Shizhe Diao, Yan Song, Tong Zhang

* 13 pages, 3 figures 

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UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

Apr 13, 2020
Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes

* Accepted by IEEE CVPR 2020 (ORAL). Code: https://github.com/JingZhang617/UCNet 

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MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation

Mar 27, 2020
Chaoyang He, Haishan Ye, Li Shen, Tong Zhang

* This paper is published in CVPR 2020 (IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020) 

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Bidirectional Generative Modeling Using Adversarial Gradient Estimation

Feb 21, 2020
Xinwei Shen, Tong Zhang, Kani Chen


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Mean-Field Analysis of Two-Layer Neural Networks: Non-Asymptotic Rates and Generalization Bounds

Feb 10, 2020
Zixiang Chen, Yuan Cao, Quanquan Gu, Tong Zhang

* 50 pages, 1 table 

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Graph Inference Learning for Semi-supervised Classification

Jan 17, 2020
Chunyan Xu, Zhen Cui, Xiaobin Hong, Tong Zhang, Jian Yang, Wei Liu

* International Conference on Learning Representations (ICLR), 2020 
* 11 pages 

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Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization

Jan 15, 2020
Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang

* Optimization Methods and Software 2020 

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Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems

Jan 11, 2020
Luo Luo, Haishan Ye, Tong Zhang


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Fast Generalized Matrix Regression with Applications in Machine Learning

Dec 27, 2019
Haishan Ye, Shusen Wang, Zhihua Zhang, Tong Zhang


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Stable Learning via Sample Reweighting

Nov 28, 2019
Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang

* Accepted as poster paper at AAAI2020 

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Dual-Attention Graph Convolutional Network

Nov 28, 2019
Xueya Zhang, Tong Zhang, Wenting Zhao, Zhen Cui, Jian Yang


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Multi-objective Neural Architecture Search via Predictive Network Performance Optimization

Nov 21, 2019
Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang


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A Fast Sampling Gradient Tree Boosting Framework

Nov 20, 2019
Daniel Chao Zhou, Zhongming Jin, Tong Zhang


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Convex Formulation of Overparameterized Deep Neural Networks

Nov 18, 2019
Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang


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Black-Box Adversarial Attack with Transferable Model-based Embedding

Nov 17, 2019
Zhichao Huang, Tong Zhang


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Sparse Coding on Cascaded Residuals

Nov 07, 2019
Tong Zhang, Fatih Porikli

* ACCV 2016 

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Spatial Sparse subspace clustering for Compressive Spectral imaging

Nov 05, 2019
Jianchen Zhu, Tong Zhang, Shengjie Zhao, Carlos Hinojosa, Zengli Liu, Gonzalo R. Arce


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ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

Nov 02, 2019
Shizhe Diao, Jiaxin Bai, Yan Song, Tong Zhang, Yonggang Wang

* Natural Language Processing. 11 pages, 7 figures 

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Over Parameterized Two-level Neural Networks Can Learn Near Optimal Feature Representations

Oct 25, 2019
Cong Fang, Hanze Dong, Tong Zhang


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Mirror Natural Evolution Strategies

Oct 25, 2019
Haishan Ye, Tong Zhang


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A Stochastic Extra-Step Quasi-Newton Method for Nonsmooth Nonconvex Optimization

Oct 21, 2019
Minghan Yang, Andre Milzarek, Zaiwen Wen, Tong Zhang

* 41 pages 

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StacNAS: Towards stable and consistent optimization for differentiable Neural Architecture Search

Oct 01, 2019
Guilin Li, Xing Zhang, Zitong Wang, Zhenguo Li, Tong Zhang


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Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging

Aug 28, 2019
Tong Zhang, Laurence H. Jackson, Alena Uus, James R. Clough, Lisa Story, Mary A. Rutherford, Joseph V. Hajnal, Maria Deprez

* Accepted by MICCAI 2019 workshop on Machine Learning for Medical Image Reconstruction 

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$\texttt{DeepSqueeze}$: Decentralization Meets Error-Compensated Compression

Aug 03, 2019
Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu


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$\texttt{DeepSqueeze}$: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression

Jul 17, 2019
Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu


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Optimal Feature Transport for Cross-View Image Geo-Localization

Jul 12, 2019
Yujiao Shi, Xin Yu, Liu Liu, Tong Zhang, Hongdong Li


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