Knowledge-aware zero-shot learning: survey and perspective

Conference item

Zero-shot learning (ZSL) which aims at predicting classes that have never appeared during the training using external knowledge (a.k.a. side information) has been widely investigated. In this paper we present a literature review towards ZSL in the perspective of external knowledge, where we categorize the external knowledge, review their methods and compare different external knowledge. With the literature review, we further discuss and outlook the role of symbolic knowledge in addressing ZSL and other machine learning sample shortage issues.

Authors: Chen, J; Geng, Y; Chen, Z; Horrocks, I; Pan, JZ

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: International Joint Conferences on Artificial Intelligence
• Host title: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
• Pages: 4366-4373
• Publication date: 2021-08-11
• Event title: 30th International Joint Conference on Artificial Intelligence (IJCAI-21)
• Event location: Montreal, Canada
• Event website: https://ijcai-21.org/
• Event start date: 2021-08-19
• Event end date: 2021-08-26
• DOI: 10.24963/ijcai.2021/597
• ISSN: 1045-0823
• EISBN: 9780999241196
• Language: English
• Keywords: knowledge representation and reasoning: general; multidisciplinary topics and applications: general; FFR; machine learning: general