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Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability


Jul 24, 2022
Quanshi Zhang, Xin Wang, Jie Ren, Xu Cheng, Shuyun Lin, Yisen Wang, Xiangming Zhu


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GeoSegNet: Point Cloud Semantic Segmentation via Geometric Encoder-Decoder Modeling


Jul 14, 2022
Chen Chen, Yisen Wang, Honghua Chen, Xuefeng Yan, Dayong Ren, Yanwen Guo, Haoran Xie, Fu Lee Wang, Mingqiang Wei


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Optimization-Induced Graph Implicit Nonlinear Diffusion


Jun 29, 2022
Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

* 14 pages, 3 figures. Accepted by ICML 2022. Our code is available at https://github.com/7qchen/GIND 

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Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation


May 01, 2022
Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo

* Accepted by CVPR 2022 

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A Roadmap for Big Model


Apr 02, 2022
Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han, Zhenghao Liu, Ning Ding, Yongming Rao, Yizhao Gao, Liang Zhang, Ming Ding, Cong Fang, Yisen Wang, Mingsheng Long, Jing Zhang, Yinpeng Dong, Tianyu Pang, Peng Cui, Lingxiao Huang, Zheng Liang, Huawei Shen, Hui Zhang, Quanshi Zhang, Qingxiu Dong, Zhixing Tan, Mingxuan Wang, Shuo Wang, Long Zhou, Haoran Li, Junwei Bao, Yingwei Pan, Weinan Zhang, Zhou Yu, Rui Yan, Chence Shi, Minghao Xu, Zuobai Zhang, Guoqiang Wang, Xiang Pan, Mengjie Li, Xiaoyu Chu, Zijun Yao, Fangwei Zhu, Shulin Cao, Weicheng Xue, Zixuan Ma, Zhengyan Zhang, Shengding Hu, Yujia Qin, Chaojun Xiao, Zheni Zeng, Ganqu Cui, Weize Chen, Weilin Zhao, Yuan Yao, Peng Li, Wenzhao Zheng, Wenliang Zhao, Ziyi Wang, Borui Zhang, Nanyi Fei, Anwen Hu, Zenan Ling, Haoyang Li, Boxi Cao, Xianpei Han, Weidong Zhan, Baobao Chang, Hao Sun, Jiawen Deng, Chujie Zheng, Juanzi Li, Lei Hou, Xigang Cao, Jidong Zhai, Zhiyuan Liu, Maosong Sun, Jiwen Lu, Zhiwu Lu, Qin Jin, Ruihua Song, Ji-Rong Wen, Zhouchen Lin, Liwei Wang, Hang Su, Jun Zhu, Zhifang Sui, Jiajun Zhang, Yang Liu, Xiaodong He, Minlie Huang, Jian Tang, Jie Tang

* arXiv admin note: text overlap with arXiv:2107.06499 by other authors 

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Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap


Mar 25, 2022
Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

* Accepeted by ICLR 2022 

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A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training


Mar 25, 2022
Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

* Accepted by ICLR 2022 

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Self-Ensemble Adversarial Training for Improved Robustness


Mar 18, 2022
Hongjun Wang, Yisen Wang

* In International Conference on Learning Representations (2022) 
* 17 pages, 3 figures, ICLR 2022 

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On the Convergence and Robustness of Adversarial Training


Dec 15, 2021
Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu

* ICML 2019 Long Talk. Fixing bugs in the proof of Theorem 1 

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Clustering Effect of (Linearized) Adversarial Robust Models


Nov 25, 2021
Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang

* Accepted by NeurIPS 2021, spotlight 

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