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基于深度学习的短临降水预测方法研究 学位论文
, 2024
Authors:  靳淇兆
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深度学习  短临降水预测  多模态数据挖掘  时空特征建模  长尾学习  
A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection 会议论文
, Seattle, United States, 2024-06-17至2024-06-21
Authors:  Wang, Hanshi;  Zhang, Zhipeng;  Gao, Jin;  Hu, Weiming
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PolarFormer: Multi-Camera 3D Object Detection with Polar Transformer 会议论文
, Washington, DC, United states, February 7, 2023 - February 14, 2023
Authors:  Jiang, Yanqin;  Zhang, Li;  Miao, Zhenwei;  Zhu, Xiatian;  Gao, Jin;  Hu, Weiming;  Jiang, Yu-Gang
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A Multi-Task Learning Approach for Stereo Depth Estimation 会议论文
, 西安, 2024年5月25日-5月27日
Authors:  Jin C(金晨);  Luan DJ(栾德杰);  Lei Z(雷峥);  Yang GD(杨国栋);  Li E(李恩)
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Improving Multi-Task GNNs for Molecular Property Prediction via Missing Label Imputation 期刊论文
Machine Intelligence Research, 2023, 页码: 1-31
Authors:  Fenyu Hu;  Dingshuo Chen;  Qiang Liu;  Shu Wu
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CSIR: Cascaded Sliding CVAEs with lterative Socially-Aware Rethinking for Trajectory Prediction 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2024, 页码: -
Authors:  Zhou H(周浩);  Yang X(杨旭);  Ming-Yu Fan;  Hai Huang;  Dongchun Ren
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Semi-supervised cerebrovascular segmentation using TOF-MRA images based on label refinement and consistency regularization 会议论文
, Athens, Greece, 27-30 May
Authors:  Haibin Huang;  Yue Cui;  Mingxia Shi;  Shan Yu
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Improving Generalization of Multi-agent Reinforcement Learning through Domain-Invariant Feature Extraction 会议论文
, Greece, 2023-5
Authors:  Xu YF(徐一凡);  Pu ZQ(蒲志强);  Cai QA(蔡奇昂);  Li FM(李非墨);  Chai XH(柴兴华)
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面向多目标覆盖任务的深度强化学习迁移泛化方法研究 学位论文
, 2024
Authors:  徐一凡
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多目标覆盖任务  强化学习  迁移泛化  课程学习  域自适应  环境偏移  
基于因果图监督的时序因果发现方法及应用研究 学位论文
, 2024
Authors:  邓紫臻
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时序因果发现,因果图监督,交替注意力机制,训练数据设计,国家影响力分析