🗓️ Paper Submission Deadline: July 11, 2025
📚 Accepted papers will be published by ACM in the workshop proceedings!
➡️ Find all details & submit your work: acmmm-pilm-2025.github.io

Key areas include:
- Novel incremental learning algorithms
- Preventing catastrophic forgetting
- Few-shot learning in medicine
- Domain adaptation for medical multimedia
- Privacy in continual learning
- Fine-tuning foundation models

We're exploring cutting-edge research at the intersection of incremental/continual learning, multimedia, and personalized medicine. How can we build AI models that adapt to evolving patient data (imaging, sensors, records) while retaining crucial knowledge for tailored healthcare?