Active learningMulti-label classification Machine learningMulti-label learning is an important machine learning task. In multi-label classification tasks, the label space is larger than the traditional single-label classification, and annotations of multi-label instances are typically more time-consuming ...
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Aug论文下载 论文作者 Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran 内容简介 本文提出了一种结合多标签主动学习和信息性数据增强的新方法,用于胸部X光图像分类。传统主动学习和数据...
论文阅读 (十):Multi-Instance Multi-Label Active Learning (2017MIML-AL),程序员大本营,技术文章内容聚合第一站。
On Active Learning in Multi-label Classification In conventional multiclass classification learning, we seek to induce a prediction function from the domain of input patterns to a mutually exclusive set of class labels. As a straightforward generalization of this category of learning p... K Brinker...
Active learning 主动学习 Multi-instance multi-label learning (MIML) 多实例多标签 Multi-view learning. 多视角 Multi-task learning (MTL) 多任务 Hierarchical multi-label classification (HMC) 多层多标签 reference [1]https://www.researchgate.net/profile/Grigorios_Tsoumakas/publication/273859036_Multi-Label...
To minimize the human-labeling efforts, we propose a novel multi-label active learning appproach which can reduce the required labeled data without sacrificing the classification accuracy. Traditional active learning algorithms can only handle single-label problems, that is, each data is restrict...
Multi-label learning aims at predicting potentially multiple labels for a given instance. Conventional multi-label learning approaches focus on exploiting the label correlations to improve the accuracy of the learner by building an individual multi-label
XML repogithub.com/Stomach-ache/Extreme-Multi-label-Learning 这个仓库会包含如下内容: active researchers in XML recent papers in XML code implementations (if available) tools for XML XML datasets ... 有的小伙伴可能会注意到,这个 repo 包含了部分 Computer Vision(CV) 中 long-tailed image classif...
Kapoor. Active learning for sparse bayesian multilabel classification. In SIGKDD, pages 472– 481. ACM, 2014. 2 [34] L. Von Ahn and L. Dabbish. Labeling images with a computer game. In Proceedings of the SIGCHI conference on Human factors in com- puting systems, pages 319–326. ...
Due to the widespread existence of multi-view and multi-label data, multi-view and multi-label learning has become an active research area in many practical applications [1], [25], [26]. In the existing multi-view learning methods, there are already a large number of strategies for acquiri...