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A Survey of Neural Trees


Sep 07, 2022
Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Jingwen Ye, Lechao Cheng, Mingli Song

* 35 pages, 7 figures and 1 table 

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ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition


Aug 22, 2022
Mengqi Xue, Qihan Huang, Haofei Zhang, Lechao Cheng, Jie Song, Minghui Wu, Mingli Song

* Arxiv preprint; 9 pages, 6 figures, 2 tables 

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Federated Selective Aggregation for Knowledge Amalgamation


Jul 27, 2022
Donglin Xie, Ruonan Yu, Gongfan Fang, Jie Song, Zunlei Feng, Xinchao Wang, Li Sun, Mingli Song

* 18 pages, 4 figures 

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Learning with Recoverable Forgetting


Jul 17, 2022
Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang

* Accepted by ECCV 2022 

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Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning


Jul 08, 2022
Shunyu Liu, Jie Song, Yihe Zhou, Na Yu, Kaixuan Chen, Zunlei Feng, Mingli Song


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Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework


Jul 05, 2022
Shunyu Liu, Xinchao Wang, Na Yu, Jie Song, Kaixuan Chen, Zunlei Feng, Mingli Song


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Slimmable Domain Adaptation


Jun 14, 2022
Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang

* IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022 
* To appear in CVPR 2022. Code is coming soon: https://github.com/hikvision-research/SlimDA 

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Label Matching Semi-Supervised Object Detection


Jun 14, 2022
Binbin Chen, Weijie Chen, Shicai Yang, Yunyi Xuan, Jie Song, Di Xie, Shiliang Pu, Mingli Song, Yueting Zhuang

* IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022 
* To appear in CVPR 2022. Code is coming soon: https://github.com/hikvision-research/SSOD 

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Learning Domain Adaptive Object Detection with Probabilistic Teacher


Jun 13, 2022
Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu

* International Conference on Machine Learning (ICML), 2022 
* To appear in ICML 2022. Code is coming soon: https://github.com/hikvision-research/ProbabilisticTeacher 

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Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System


May 12, 2022
Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song

* 8 pages, 6 figures, 4 tables 

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