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DNN2LR: Automatic Feature Crossing for Credit Scoring


Feb 24, 2021
Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu

* arXiv admin note: substantial text overlap with arXiv:2008.09775 

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Rethinking Natural Adversarial Examples for Classification Models


Feb 23, 2021
Xiao Li, Jianmin Li, Ting Dai, Jie Shi, Jun Zhu, Xiaolin Hu

* 12 pages 

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Deep Learning-Based Autoencoder for Data-Driven Modeling of an RF Photoinjector


Feb 18, 2021
Jun Zhu, Ye Chen, Frank Brinker, Winfried Decking, Sergey Tomin, Holger Schlarb


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Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings


Jan 25, 2021
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf

* A condensed version is accepted to AISTATS 2021 

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Cognitive Visual Inspection Service for LCD Manufacturing Industry


Jan 11, 2021
Yuanyuan Ding, Junchi Yan, Guoqiang Hu, Jun Zhu


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Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation


Jan 05, 2021
Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu


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ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning


Jan 02, 2021
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu


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Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting


Dec 16, 2020
Qingyi Pan, Wenbo Hu, Jun Zhu


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Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?


Nov 16, 2020
Guoqiang Wu, Jun Zhu

* To Appear in NeurIPS 2020 

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Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models


Nov 07, 2020
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang


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Further Analysis of Outlier Detection with Deep Generative Models


Oct 25, 2020
Ziyu Wang, Bin Dai, David Wipf, Jun Zhu

* NeurIPS 2020 

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Bi-level Score Matching for Learning Energy-based Latent Variable Models


Oct 16, 2020
Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang


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BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning


Oct 05, 2020
Zhijie Deng, Xiao Yang, Hao Zhang, Yinpeng Dong, Jun Zhu


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Bag of Tricks for Adversarial Training


Oct 01, 2020
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu


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Deep Active Learning by Model Interpretability


Aug 26, 2020
Qiang Liu, Zhaocheng Liu, Xiaofang Zhu, Yeliang Xiu, Jun Zhu


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Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters


Jul 16, 2020
Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang

* 14pages (except appendix and reference), 9 figures, 3 tables 

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Delving into the Adversarial Robustness on Face Recognition


Jul 08, 2020
Xiao Yang, Dingcheng Yang, Yinpeng Dong, Wenjian Yu, Hang Su, Jun Zhu


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Efficient Learning of Generative Models via Finite-Difference Score Matching


Jul 07, 2020
Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu


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Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks


Jun 23, 2020
Feng Zhou, Yixuan Zhang, Jun Zhu


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Calibrated Reliable Regression using Maximum Mean Discrepancy


Jun 18, 2020
Peng Cui, Wenbo Hu, Jun Zhu


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Dynamic Window-level Granger Causality of Multi-channel Time Series


Jun 14, 2020
Zhiheng Zhang, Wenbo Hu, Tian Tian, Jun Zhu


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Brain-inspired global-local hybrid learning towards human-like intelligence


Jun 05, 2020
Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi

* 5 figures, 2 tables 

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Nonparametric Score Estimators


May 20, 2020
Yuhao Zhou, Jiaxin Shi, Jun Zhu


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SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models


Apr 01, 2020
Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen

* ICLR 2020 

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