5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2025
IMU: Influence-guided Machine Unlearning
Xindi Fan, Jing Wu, Mingyi Zhou +3
Machine Unlearning (MU) aims to selectively erase the influence of specific data points from pretrained models. However, most existing MU methods rely on the retain set to preserve…
cs.LG2022
An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning
Quyen Tran, Hai Nguyen, Hoang Phan +6
In online incremental learning, data continuously arrives with substantial distributional shifts, creating a significant challenge because previous samples have limited replay valu…
cs.LG2018★ 5 cited
On Deep Domain Adaptation: Some Theoretical Understandings
Trung Le, Khanh Nguyen, Nhat Ho +2
Compared with shallow domain adaptation, recent progress in deep domain adaptation has shown that it can achieve higher predictive performance and stronger capacity to tackle struc…