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EEG Cross-Subject Taste Classification Method: A Meta-Learning Wavelet Graph Convolutional Neural Network Under Sweet and Bitter Stimuli. [PDF]
Biosensors (Basel)Wang H, Men H, Shi Y.
europepmc +1 more source
A joint span-entity prediction approach with generative and cross-lingual meta-learning for low-resource Japanese NER. [PDF]
Sci RepShao X, Zhu D, Liu Q, Pan X.
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A meta-learning ensemble framework for robust and interpretable prediction of emergency medical services demand. [PDF]
Sci RepGarg T, Toshniwal D, Parida M.
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ArcFace-enhanced few-shot meta-learning for industrial fault diagnosis using multi-modal representations with lightweight 1D CNNs. [PDF]
Sci RepRony MH +3 more
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Structure-enhanced graph meta learning for few-shot gene regulatory network inference. [PDF]
Genome BiolYu W, Chen Z, Hu Y, Qin J, Ou-Yang L.
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A Survey of Deep Meta-Learning [PDF]
Artificial Intelligence Review, 2021 Abstract Deep neural networks can achieve great successes when presented with large data sets and sufficient computational resources. However, their ability to learn new concepts quickly is limited. Meta-learning is one approach to address this issue, by enabling the network
Aske Plaat, Jan van Rijn, Mike Huisman
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Meta-Features for Meta-Learning [PDF]
Knowledge-Based Systems, 2022 Meta-learning is increasingly used to support the recommendation of machine learning algorithms and their configurations. These recommendations are made based on meta-data, consisting of performance evaluations of algorithms and characterizations on ...
Adriano Rivolli +2 more
exaly +2 more sources
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2022
Swarm learning is a kind of decentralized machine learning. In this paper, we propose a new framework of decentralized collaborative learning, called swarm meta learning, by combining swarm learning with meta learning, blockchain, and federated learning.
Tian, Xiao +2 more
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Swarm learning is a kind of decentralized machine learning. In this paper, we propose a new framework of decentralized collaborative learning, called swarm meta learning, by combining swarm learning with meta learning, blockchain, and federated learning.
Tian, Xiao +2 more
openaire +1 more source