2 papers
cs.LG2025
Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings
Shahad Hardan, Darya Taratynova, Abdelmajid Essofi +2
Privacy preservation in AI is crucial, especially in healthcare, where models rely on sensitive patient data. In the emerging field of machine unlearning, existing methodologies st…
cs.LG2024
Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awareness
Abdelmajid Essofi, Ridwan Salahuddeen, Munachiso Nwadike +5
The training or fine-tuning of machine learning, vision, and language models is often implemented as a pipeline: a sequence of stages encompassing data preparation, model training…