Publications by authors named "Ziad Al-Halah"
Article Synopsis
- Despite advancements in machine learning, current systems struggle with real-world variability, requiring adaptation to new conditions and tasks.
- A proposed solution is "Lifelong Learning" systems that emphasize Continuous Learning, Transfer and Adaptation, and Scalability, yet research often treats these capabilities separately.
- The authors advocate for a holistic evaluation framework using a comprehensive set of metrics to assess the development of Lifelong Learning systems, demonstrating how these metrics can identify performance trade-offs and guide future research efforts.
