Continual Learning for Resource-Efficient Healthcare Applications

  • Research theme/s:

    Healthcare

  • Principal investigator (PI):

    Dr. Mohammad Yaqub

  • Researcher/s:

    Shikhar Srivastava

  • Funding:

    MBZUAI

  • Department:

    Computer vision

  • Co-PI:

    Dr. Karthik Nandakumar

  • Student/s

    Nil

  • Collaborators / partners:

    Inception Institute of AI, Group 42

Any deployed Machine Learning system trusted with patients must be robust to domain shifts over time. Additionally, a large variety of clinical applications today must operate efficiently on-device, under finite memory and resource constraints. We propose methods that achieve state-of-the-art in robustness to continuous domain shifts under resource-constrained settings.