CAZO uses curvature-informed, forward-only optimization to adapt models at test time, achieving strong accuracy with about 70% lower memory use than backprop methods.
Parameter-free online test-time adaptation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation
CAZO uses curvature-informed, forward-only optimization to adapt models at test time, achieving strong accuracy with about 70% lower memory use than backprop methods.