Balanced joint maximum mean discrepancy for deep transfer learning

DOI10.1142/S0219530520400035OpenAlexW3015386791MaRDI QIDQ4995048

Jinzhao Wu, Wei Su, Chuangji Meng, Cunlu Xu, Qin Lei

Publication date: 23 June 2021

Published in: Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219530520400035

zbMATH Keywords

transfer learningdeep learningdomain adaptationjoint distribution adaptationbalanced distribution adaptation

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Applications of mathematical programming (90C90) Multilinear algebra, tensor calculus (15A69) Linear operators in reproducing-kernel Hilbert spaces (including de Branges, de Branges-Rovnyak, and other structured spaces) (47B32)

Uses Software

• Caffe
• ImageNet
• AlexNet

Cites Work

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• Universality of deep convolutional neural networks
• Deep distributed convolutional neural networks: Universality
• Deep learning in high dimension: Neural network expression rates for generalized polynomial chaos expansions in UQ
• Unsupervised Domain Adaptation With Label and Structural Consistency
• Deep neural networks for rotation-invariance approximation and learning

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