arxiv
PublishedMay 29, 2026 at 4:00 AM
—neutral
Representation Unlearning: Forgetting through Information Compression
Publisher summary· verbatim
arXiv:2601.21564v2 Announce Type: replace Abstract: Machine unlearning seeks to remove the influence of specific training data from a model, a need driven by privacy regulations and robustness concerns. Existing approaches typically modify model parameters, but such updates can be unstable, computat
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Originally published on arxiv ↗