Machine learningPrototype-based modelsThe systematic prediction of real estate prices is a foundational block in the operations of many firms and has individual, societal and policy implications. In the past, a vast amount of works have used common statistical models such as ordinary least squares ...
2024 International Conference on Learning Representations | January 2024 下载BibTex Tabular data have been playing a mostly important role in diverse real-world fields, such as healthcare, engineering, finance, etc. With the recent success of deep learning, many tabular m...
To alleviate the burden of labeling data to train crowd counting models, we propose a prototype-based learning approach for semi-supervised crowd counting with an embeded understanding of perspective. Our key idea is that image patches with the same density of people are likely to exhibit coherent...
Prototype-based programming is often associated with particular schools of thought incognitive psychologywhich emphasizeprototypesorexemplarsas key attributes of the learning process. 基于原型的编程通常穿插在教授cognitive psychology的课程中,他强调prototypes和exemplars作为学习中的关键词。
联邦持续学习(federated continual learning)中存在多个客户端, 每个客户端不断获取新的数据. 由于存储空间的限制, 客户端以持续学习的方式进行模型更新, 同时客户端之间通过共享知识提升本地模型性能. Yoon等 [9]最早给出了联邦持续学习的定义, 其提出的方法将模型参数拆分为通用参数和任务特定参数, 客户端之间共享通...
EasyGenerator software to create interactive learning programmesbasedonsome oftheprototypetraining modules. unesdoc.unesco.org unesdoc.unesco.org 该培训班在利用易生成程序软件创造基于某些示范性培 训单元的互动学习课程方面提供了实习性培训。 unesdoc.unesco.org ...
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement Hao Zhu†,§, Piotr Koniusz*,§,† †Australian National University §Data61 CSIRO allenhaozhu@gmail.com, firstname.lastname@anu.edu.au Abstract Few-...
CV的盆友们呢,是没怎么经历过manifold learning时代。所以默认就是高斯kernel直接构造一个graph用在LP和GNN上面。大家可以发现,这个图一经构造就不不会改变,哪怕构造是错的也绝对不会改变。因为图的构造其实是一个计算复杂度比较高的事情,动态的构造图经常会死的很惨。但是在我们的case里面类别一般不多,所以其实有...
[Paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136850273.pdf):PSP: Automatic Check-out via Prototype-based Classifier Learning from Single-Product Exemplars [Github](https://github.com/Hao-Chen-NJUST/PSP):PSP Overview ...
In some examples, a prototype model that includes a representative subset of data points (e.g., inputs and output classifications) of a machine learning model is analyzed to efficiently interpret the machine learning model's behavior. Performance metrics such as a critic fraction, local explanation...