2 papers
cs.CV2026
SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation
Petros Andreou, Jamie Lanyon, Axel Finke +1
Machine unlearning removes the influence of specific training data from a trained model without retraining it from scratch. Evaluating an unlearning method requires repeating train…
cs.LG2025
On the importance of multiple training seeds for evaluating machine unlearning
Jamie Lanyon, Axel Finke, Petros Andreou +1
Machine unlearning aims to remove the influence of certain data points from a trained model without costly retraining. Most practical unlearning algorithms are only approximate and…