Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation

29 Jul 2020Yiyang ZhangFeng LiuZhen FangBo YuanGuangquan ZhangJie Lu

In unsupervised domain adaptation (UDA), classifiers for the target domain are trained with massive true-label data from the source domain and unlabeled data from the target domain. However, it may be difficult to collect fully-true-label data in a source domain given a limited budget... (read more)

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