Beijing Didi Infinity Technology and Development Co., Ltd.

Yang Gu

Hua Chai

Pengfei Xu

Runbo Hu

Guangzhi Wang

Sicheng Zhao

Shanghang Zhang

Yaxian Li

Zhichao Song

Embodiments of the disclosure provide systems and methods for domain adaptation between a plurality of source domains and a target domain. The artificial intelligence method includes receiving labeled data from the plurality of source domains and unlabeled data from the target domain. The method further includes separately training, by a processor, a plurality of source classifiers each corresponding to a source domain using the labeled data received from the respective source domains. The method also includes selecting a subset of the labeled data received from each source domain based on a similarity between the selected labeled data and the unlabeled data of the target domain. The method additionally includes refining, by the processor, each source classifier using the selected subset of the labeled data, and predicting labels of the unlabeled data using the refined source classifiers.

Machine learning systems and methods with source-target adaptation

Growing community of inventors

Beijing, China

Yang Gu