AI RESEARCH
CoUn: Empowering Machine Unlearning via Contrastive Learning
arXiv CS.LG
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ArXi:2509.16391v3 Announce Type: replace Machine unlearning (MU) aims to remove the influence of specific "forget" data from a trained model while preserving its knowledge of the remaining "retain" data. Existing MU methods based on label manipulation or model weight perturbations often achieve limited unlearning effectiveness. To address this, we