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Adversarially Robust Generalization Just Requires More Unlabeled Data

Jun 03, 2019
Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John Hopcroft, Liwei Wang

* 16 pages. Submitted to NeurIPS 2019 

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Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation

Oct 28, 2018
Liwei Wang, Lunjia Hu, Jiayuan Gu, Yue Wu, Zhiqiang Hu, Kun He, John Hopcroft

* 17 pages, 6 figures 

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Stacked Generative Adversarial Networks

Apr 12, 2017
Xun Huang, Yixuan Li, Omid Poursaeed, John Hopcroft, Serge Belongie

* CVPR 2017, camera-ready version 

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A Powerful Generative Model Using Random Weights for the Deep Image Representation

Jun 16, 2016
Kun He, Yan Wang, John Hopcroft

* 10 pages, 10 figures, submited to NIPS 2016 conference. Computer Vision and Pattern Recognition, Neurons and Cognition, Neural and Evolutionary Computing 

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Convergent Learning: Do different neural networks learn the same representations?

Feb 28, 2016
Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John Hopcroft

* Published as a conference paper at ICLR 2016 

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Sign Stable Projections, Sign Cauchy Projections and Chi-Square Kernels

Aug 05, 2013
Ping Li, Gennady Samorodnitsky, John Hopcroft

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