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深度对比学习综述 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 1, 页码: 15-39
作者:  张重生;  陈杰;  李岐龙;  邓斌权;  王杰;  陈承功
Adobe PDF(5378Kb)  |  收藏  |  浏览/下载：79/43  |  提交时间：2024/05/09
对比学习  深度学习  特征提取  自监督学习  度量学习  
安全强化学习综述 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 9, 页码: 1813-1835
作者:  王雪松;  王荣荣;  程玉虎
Adobe PDF(1356Kb)  |  收藏  |  浏览/下载：57/25  |  提交时间：2024/04/24
安全强化学习  约束马尔科夫决策过程  学习过程  学习目标  离线强化学习  
YOLO-CORE: Contour Regression for Efficient Instance Segmentation 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 716-728
作者:  Haoliang Liu;  Wei Xiong;  Yu Zhang
Adobe PDF(11569Kb)  |  收藏  |  浏览/下载：37/6  |  提交时间：2024/04/23
Computer vision, instance segmentation, object shape prediction, contour regression, polar distance  
Region-adaptive Concept Aggregation for Few-shot Visual Recognition 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 554-568
作者:  Mengya Han;  Yibing Zhan;  Baosheng Yu;  Yong Luo;  Han Hu;  Bo Du;  Yonggang Wen;  Dacheng Tao
Adobe PDF(4324Kb)  |  收藏  |  浏览/下载：55/18  |  提交时间：2024/04/23
Few-shot learning, metric-based meta learning, concept learning, region-adaptive, concept-aggregation  
Federated Learning on Multimodal Data: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 539-553
作者:  Yi-Ming Lin;   Yuan Gao;  Mao-Guo Gong;  Si-Jia Zhang;  Yuan-Qiao Zhang;  Zhi-Yuan Li
Adobe PDF(1253Kb)  |  收藏  |  浏览/下载：27/10  |  提交时间：2024/04/23
Federated learning, multimodal learning, heterogeneous data, edge computing, collaborative learning  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：60/18  |  提交时间：2024/04/23
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 447-482
作者:  Xiao Wang;  Guangyao Chen;  Guangwu Qian;  Pengcheng Gao;  Xiao-Yong Wei;  Yaowei Wang;  Yonghong Tian;  Wen Gao
Adobe PDF(3540Kb)  |  收藏  |  浏览/下载：60/13  |  提交时间：2024/04/23
Multi-modal (MM), pre-trained model (PTM), information fusion, representation learning, deep learning  
Dynamic Movement Primitives Based Robot Skills Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 396-407
作者:  Ling-Huan Kong;  Wei He;  Wen-Shi Chen;  Hui Zhang;  Yao-Nan Wang
Adobe PDF(3181Kb)  |  收藏  |  浏览/下载：64/17  |  提交时间：2024/04/23
Dynamic movement primitives (DMPs), trajectory tracking control, robot learning from demonstrations, neural networks (NNs), adaptive control  
AI in Human-computer Gaming: Techniques, Challenges and Opportunities 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 299-317
作者:  Qi-Yue Yin;  Jun Yang;  Kai-Qi Huang;  Mei-Jing Zhao;  Wan-Cheng Ni;  Bin Liang;  Yan Huang;  Shu Wu;  Liang Wang
Adobe PDF(2608Kb)  |  收藏  |  浏览/下载：64/17  |  提交时间：2024/04/23
Human-computer gaming, AI, intelligent decision making, deep reinforcement learning, self-play  
Compositional Prompting Video-language Models to Understand Procedure in Instructional Videos 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 249-262
作者:  Guyue Hu;  Bin He;  Hanwang Zhang
Adobe PDF(2167Kb)  |  收藏  |  浏览/下载：67/29  |  提交时间：2024/04/23
Prompt learning  video-language pretrained models  instructional videos  procedure understanding  knowledge distilling