Generalizing from Limited Resources in the Open World

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64,19 

Third International Workshop, GLOW 2025, Held in Conjunction with IJCAI 2025, Montreal, Canada, August 16-22,2025, Proceedings, Communications in Computer and Information Science 2640

ISBN: 9819509874
ISBN 13: 9789819509874
Herausgeber: Yuqing Ma/Jinyang Guo/Xiaowei Zhao et al
Verlag: Springer Verlag GmbH
Umfang: x, 196 S., 1 s/w Illustr., 47 farbige Illustr., 196 p. 48 illus., 47 illus. in color.
Erscheinungsdatum: 15.08.2025
Auflage: 1/2025
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 7116667 Kategorie:

Beschreibung

This book presents the proceedings from the Third International Workshop on Generalizing from Limited Resources in the Open World (GLOW) 2025 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2025, in Montreal, Canada, during August 16-22, 2025. The 12 full papers in this book were carefully reviewed and selected from 27 submissions. These papers focus on the academic exploration of efficient methodologies within the realm of artificial intelligence models. We concentrated on both data-efficient strategies, such as zero/few-shot learning and domain adaptation, as well as model-efficient approaches like model sparsification and compact model design.

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