3 papers
cs.CV2022
Provably Uncertainty-Guided Universal Domain Adaptation
Yifan Wang, Lin Zhang, Ran Song +3
Universal domain adaptation (UniDA) aims to transfer the knowledge from a labeled source domain to an unlabeled target domain without any assumptions of the label sets, which requi…
cs.CV2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation
Yifan Wang, Lin Zhang, Ran Song +3
Universal domain adaptation (UniDA) aims to transfer the knowledge of common classes from the source domain to the target domain without any prior knowledge on the label set, which…
cs.MA2021
A General Auxiliary Controller for Multi-agent Flocking
Jinfan Zhou, Jiyu Cheng, Lin Zhang +1
We aim to improve the performance of multi-agent flocking behavior by quantifying the structural significance of each agent. We designed a confidence score(ConfScore) to measure th…