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Titlebook: Automated Machine Learning and Meta-Learning for Multimedia; Wenwu Zhu,Xin Wang Book 2021 The Editor(s) (if applicable) and The Author(s),

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Future Research Directionsure search) and meta-learning. We would like to point out that the future works deserving further investigations discussed in this chapter can also be applicable to various multimedia applications as well as the learning tasks of different modalities (i.e., texts, audios, images, and videos), therefore we do not present separate discussions here.
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Meta-Learningning usually depends on large labeled datasets and trains a huge model with a large number of parameters from scratch. Thus, the requirement for data and computing resources is relatively high. However, there are many applications where data is difficult or expensive to collect, or computing resourc
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Future Research Directionsure search) and meta-learning. We would like to point out that the future works deserving further investigations discussed in this chapter can also be applicable to various multimedia applications as well as the learning tasks of different modalities (i.e., texts, audios, images, and videos), theref
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