WebA tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. WebWWW2024–OntoZSL: Ontology-enhanced Zero-shot Learning. ... 因此，研究人员提出了零样本学习（Zero-shot Learning, ZSL ... Ontology-guided Semantic Composition for Zero-Shot Learning. KR 2024. [2] Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs.

OntoZSL: Ontology-enhanced Zero-shot Learning - NASA/ADS

Web11 de dez. de 2024 · Zero shot learning – the problem of training and testing on a completely disjoint set of classes – relies greatly on its ability to transfer knowledge from … Web19 de mar. de 2024 · It is well-known that zero-shot learning (ZSL) can suffer severely from the problem of domain shift, where the true and learned data distributions for the unseen classes do not match. Although transductive ZSL (TZSL) attempts to improve this by allowing the use of unlabelled examples from the unseen classes, there is still a high … five hundred and eighty one million

Feature Enhanced Zero-Shot Stance Detection via Contrastive Learning

WebOntoZSL: Ontology-enhanced Zero-shot Learning. Yuxia Geng. Zhejiang University, China, Jiaoyan Chen. University of Oxford, United Kingdom, Zhuo Chen. Zhejiang University, China, ... Explainable zero-shot learning via attentive graph convolutional network and knowledge graphs. Yuxia Geng. College of Computer Science and … WebZero-shot Learning (ZSL), which aims to predict for those classes that have never appeared in the training data, ... OntoZSL: Ontology-enhanced Zero-shot Learning. … Web27 de jan. de 2024 · Few-shot Learning (FSL) is aimed to make predictions based on a limited number of samples. Structured data such as knowledge graphs and ontology … five hundred and eighty seven