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Learning to Transfer under Unknown Noisy Environments: an Universal Weakly-Supervised Domain Adaptation Method

IEEE International Conference on Multimedia and Expo(2021)

Cited 1|Views13
Key words
weakly-supervised domain adaptation,target domain,progressive distillation,domain alignment,source domain,noisy environments,transfer learning,PDCAS,class-aligned sampling,feature distributions
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