Special Section on Meta-learning: Theories, Algorithms and Applications

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Journal

Frontiers of Computer Science is a comprehensive platform for the latest advancements in computer science.

Showing 1-6 of 6 articles

Teachers cooperation: team-knowledge distillation for multiple cross-domain few-shot learning
Zhong Ji
Jingwei Ni
Yanwei Pang
Research Article 09 August 2022 Article: 172312
Intellectual property protection for deep semantic segmentation models
Hongjia Ruan
Huihui Song
Qingshan Liu
Research Article 08 August 2022 Article: 171306
Few-shot node classification via local adaptive discriminant structure learning
Zhe Xue
Junping Du
Feifei Kou
Research Article 08 August 2022 Article: 172316
Scene-adaptive crowd counting method based on meta learning with dual-input network DMNet
Haoyu Zhao
Weidong Min
Qiyan Fu
Research Article 08 August 2022 Article: 171304
Meta-BN Net for few-shot learning
Wei Gao
Mingwen Shao
Xinkai Zhuang
Research Article 08 August 2022 Article: 171302
Improving meta-learning model via meta-contrastive loss
Pinzhuo Tian
Yang Gao
Research Article 08 January 2022 Article: 165331