4 papers · 1 filter
FreKoo++: Learning Continuous Spectral Dynamics for Temporal Domain Generalization
En Yu, Xiaoyu Yang, Wei Duan +2
Temporal Domain Generalization (TDG) aims to learn from historical domains and generalize to unseen future distributions under concept drift. Nevertheless, prevailing TDG methods s…
Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models
Bo Peng, Jie Lu, Guangquan Zhang +1
Aiming at identifying unexpected inputs from unknown classes, out-of-distribution (OOD) detection has emerged as a pivotal approach to enhancing the reliability of machine learning…
Autonomous Source Knowledge Selection in Multi-Domain Adaptation
Keqiuyin Li, Jie Lu, Hua Zuo +1
Unsupervised multi-domain adaptation plays a key role in transfer learning by leveraging acquired rich source information from multiple source domains to solve target task from an…
Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation
Yi Yin, Guangquan Zhang, Hua Zuo +1
Machine learning models require datasets for effective training, but directly sharing raw data poses significant privacy risk such as membership inference attacks (MIA). To mitigat…