Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Jun Zhu

Jun Zhu

Accurate and Reliable Forecasting using Stochastic Differential Equations

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

Figure 1 for Accurate and Reliable Forecasting using Stochastic Differential Equations

Figure 2 for Accurate and Reliable Forecasting using Stochastic Differential Equations

Figure 3 for Accurate and Reliable Forecasting using Stochastic Differential Equations

Figure 4 for Accurate and Reliable Forecasting using Stochastic Differential Equations

Access Paper or Ask Questions

LiBRe: A Practical Bayesian Approach to Adversarial Detection

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

Figure 1 for LiBRe: A Practical Bayesian Approach to Adversarial Detection

Figure 2 for LiBRe: A Practical Bayesian Approach to Adversarial Detection

Figure 3 for LiBRe: A Practical Bayesian Approach to Adversarial Detection

Figure 4 for LiBRe: A Practical Bayesian Approach to Adversarial Detection

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

Access Paper or Ask Questions

DNN2LR: Automatic Feature Crossing for Credit Scoring

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

Figure 1 for DNN2LR: Automatic Feature Crossing for Credit Scoring

Figure 2 for DNN2LR: Automatic Feature Crossing for Credit Scoring

Figure 3 for DNN2LR: Automatic Feature Crossing for Credit Scoring

Figure 4 for DNN2LR: Automatic Feature Crossing for Credit Scoring

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

Access Paper or Ask Questions

Rethinking Natural Adversarial Examples for Classification Models

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

Figure 1 for Rethinking Natural Adversarial Examples for Classification Models

Figure 2 for Rethinking Natural Adversarial Examples for Classification Models

Figure 3 for Rethinking Natural Adversarial Examples for Classification Models

Figure 4 for Rethinking Natural Adversarial Examples for Classification Models

* 12 pages

Access Paper or Ask Questions

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

Figure 1 for Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

Figure 2 for Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

Figure 3 for Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

Figure 4 for Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

* A condensed version is accepted to AISTATS 2021

Access Paper or Ask Questions

Cognitive Visual Inspection Service for LCD Manufacturing Industry

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

Figure 1 for Cognitive Visual Inspection Service for LCD Manufacturing Industry

Figure 2 for Cognitive Visual Inspection Service for LCD Manufacturing Industry

Figure 3 for Cognitive Visual Inspection Service for LCD Manufacturing Industry

Figure 4 for Cognitive Visual Inspection Service for LCD Manufacturing Industry

Access Paper or Ask Questions