Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning - researchr publication authors

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Hongyu Wang 0008, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes 0001. Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning. In Sarath Chandar, Razvan Pascanu, Hanie Sedghi, Doina Precup, editors, Conference on Lifelong Learning Agents, 22-25 August 2023, McGill University, Montréal, Québec, Canada. Volume 232 of Proceedings of Machine Learning Research, pages 481-492, PMLR, 2023. [doi]

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