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Tianshou: a Highly Modularized Deep Reinforcement Learning Library


Jul 29, 2021
Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Hang Su, Jun Zhu

* 16 pages, 5 figures, 6 tables 

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Query2Label: A Simple Transformer Way to Multi-Label Classification


Jul 22, 2021
Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu


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On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms


Jul 21, 2021
Shuyu Cheng, Guoqiang Wu, Jun Zhu

* Code available at https://github.com/csy530216/pg-zoo 

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Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks


Jul 05, 2021
Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu


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Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning


Jun 30, 2021
You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang


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Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit


Jun 29, 2021
Yichi Zhou, Shihong Song, Huishuai Zhang, Jun Zhu, Wei Chen, Tie-Yan Liu


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Improving Transferability of Adversarial Patches on Face Recognition with Generative Models


Jun 29, 2021
Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu

* Accpeted by CVPR 2021. Based on the camera ready version, some typos are fixed 

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Accumulative Poisoning Attacks on Real-time Data


Jun 18, 2021
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu


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Scalable Quasi-Bayesian Inference for Instrumental Variable Regression


Jun 16, 2021
Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu

* ZW and YZ contribute equally 

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Pre-Trained Models: Past, Present and Future


Jun 15, 2021
Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu


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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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