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Understanding Softmax Confidence and Uncertainty


Jun 09, 2021
Tim Pearce, Alexandra Brintrup, Jun Zhu


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Nonlinear Hawkes Processes in Time-Varying System


Jun 09, 2021
Feng Zhou, Quyu Kong, Yixuan Zhang, Cheng Feng, Jun Zhu


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Stability and Generalization of Bilevel Programming in Hyperparameter Optimization


Jun 08, 2021
Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang


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Exploring Memorization in Adversarial Training


Jun 03, 2021
Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu


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KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients


Jun 02, 2021
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu

* Preprint. Under review 

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Adversarial Training with Rectified Rejection


May 31, 2021
Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu


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Unsupervised Part Segmentation through Disentangling Appearance and Shape


May 26, 2021
Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu

* Accepted in CVPR 2021 

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Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization


May 10, 2021
Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu


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Automated Decision-based Adversarial Attacks


May 09, 2021
Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu

* 16 pages, 6 figures 

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MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering


May 05, 2021
Tsung Wei Tsai, Chongxuan Li, Jun Zhu

* International Conference on Learning Representations (ICLR) 2021 

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Few-shot Continual Learning: a Brain-inspired Approach


Apr 19, 2021
Liyuan Wang, Qian Li, Yi Zhong, Jun Zhu


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Counter-Strike Deathmatch with Large-Scale Behavioural Cloning


Apr 09, 2021
Tim Pearce, Jun Zhu


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Accurate and Reliable Forecasting using Stochastic Differential Equations


Mar 28, 2021
Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu


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LiBRe: A Practical Bayesian Approach to Adversarial Detection


Mar 27, 2021
Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu

* IEEE/ CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2021 

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Black-box Detection of Backdoor Attacks with Limited Information and Data


Mar 24, 2021
Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu


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Implicit Normalizing Flows


Mar 17, 2021
Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu


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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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