Undergrad student, Korea Advanced Institute of Science & Technology
1 paper 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.
