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Zheng Xu

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The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent

Apr 15, 2019
Karthik A. Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein

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Universal Adversarial Training

Nov 27, 2018
Ali Shafahi, Mahyar Najibi, Zheng Xu, John Dickerson, Larry S. Davis, Tom Goldstein

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Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays

Jul 16, 2018
Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu, Junzhou Huang

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Accurate and efficient video de-fencing using convolutional neural networks and temporal information

Jun 28, 2018
Chen Du, Byeongkeun Kang, Zheng Xu, Ji Dai, Truong Nguyen

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Beyond Textures: Learning from Multi-domain Artistic Images for Arbitrary Style Transfer

May 25, 2018
Zheng Xu, Michael Wilber, Chen Fang, Aaron Hertzmann, Hailin Jin

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The Effectiveness of Instance Normalization: a Strong Baseline for Single Image Dehazing

May 08, 2018
Zheng Xu, Xitong Yang, Xue Li, Xiaoshuai Sun

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Learning to Cluster for Proposal-Free Instance Segmentation

Mar 17, 2018
Yen-Chang Hsu, Zheng Xu, Zsolt Kira, Jiawei Huang

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Visualizing the Loss Landscape of Neural Nets

Mar 05, 2018
Hao Li, Zheng Xu, Gavin Taylor, Christoph Studer, Tom Goldstein

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Stabilizing Adversarial Nets With Prediction Methods

Feb 08, 2018
Abhay Yadav, Sohil Shah, Zheng Xu, David Jacobs, Tom Goldstein

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Training Quantized Nets: A Deeper Understanding

Nov 13, 2017
Hao Li, Soham De, Zheng Xu, Christoph Studer, Hanan Samet, Tom Goldstein

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