SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation 事件

SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation arXiv:2606.00380v1 Announce Type: new Abstract: Machine unlearning removes the influence of specific training data from a trained model without retraining it from scratch. Evaluating an unlearning method requires repeating training, unlearning, and evaluation across multiple seeds, which is computationally expensive. To our knowledge, existing image classification unlearning frameworks run on a single GPU, which