Assistant Professor, Ulsan National Institute of Science and Technology
2 papers at NeurIPS 2025
We propose SNAP, a novel low-latency Test-Time Adaptation framework that enables efficient model adaptation on edge devices by using sparse updates, significantly reducing computation while maintaining accuracy.
