Leveraging Endo-and Exo-Temporal Regularization for Black-box Video Domain Adaptation
To enable video models to be applied seamlessly across video tasks in different
environments, various Video Unsupervised Domain Adaptation (VUDA) methods have been …
environments, various Video Unsupervised Domain Adaptation (VUDA) methods have been …
Trustworthy Transfer Learning: A Survey
J Wu, J He - arXiv preprint arXiv:2412.14116, 2024 - arxiv.org
Transfer learning aims to transfer knowledge or information from a source domain to a
relevant target domain. In this paper, we understand transfer learning from the perspectives …
relevant target domain. In this paper, we understand transfer learning from the perspectives …
Maximum Likelihood Weight Estimation for Partial Domain Adaptation
Abstract Partial Domain Adaptation (PDA) aims to generalize a classification model from a
labeled source domain to an unlabeled target domain, where the source label space …
labeled source domain to an unlabeled target domain, where the source label space …
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
Multivariate sequential data collected in practice often exhibit temporal irregularities,
including nonuniform time intervals and component misalignment. However, if uneven …
including nonuniform time intervals and component misalignment. However, if uneven …
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
CH Leung, Q Wu - 2023 - papers.ssrn.com
Multivariate sequential data collected in practice often exhibit temporal irregularities,
including nonuniform time intervals and component misalignment. However, if uneven …
including nonuniform time intervals and component misalignment. However, if uneven …