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2022 26th International Conference on Pattern Recognition (ICPR), 2022
Nico Zengeler +2 more
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Nico Zengeler +2 more
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Goal of this work is to make acquaintance and study meta-learningu methods, program algorithm and compare with other machine learning methods.
Hang Wang, Sen Lin, Junshan Zhang
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Hang Wang, Sen Lin, Junshan Zhang
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Meta-Learning in Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Timothy M Hospedales, Amos Storkey
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Meta-seg: A survey of meta-learning for image segmentation
Pattern Recognition, 2022Shuai Luo, Yujie Li, Pengxiang Gao
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Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning
IEEE Transactions on Neural Networks and Learning Systems, 2022Pinzhuo Tian, Wenbin Li, Yang Gao
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A concise review of recent few-shot meta-learning methods
Neurocomputing, 2021Xiaoxu Li, Zhuo Sun, Jing-Hao Xue
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Multimodality in meta-learning: A comprehensive survey
Knowledge-Based Systems, 2022Yao Ma, Yaoman Li, Irwin KING
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Meta-learning approaches for learning-to-learn in deep learning: A survey
Neurocomputing, 2022exaly
Effects of virtual reality on learning outcomes in K-6 education: A meta-analysis
Educational Research Review, 2022Sérgio Tirado-Olivares +2 more
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