74%Highly rated
?Highly ratedVote to see the score
Data Unlearning via Inverse Distillation
Inverse Distillation Unlearning unifies multi-step model distillation and data removal via a min-max objective that recovers only retained data, reducing forgotten-class generation without retained examples or extra classifiers.
Published Sep 28, 2026 · 0 citations · ▲ 16 on Hugging Face
– ReadersNo votes yet
9/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5