Test-Time Memory Calibration (TTMC), a novel gradient-free analytic framework that introduces a transductive calibration mechanism that seamlessly fuses the second-order statistics of the unlabelled test stream into the accumulated long-term memory via a closed-form solution, allowing for real-time alignment with the t...
Yuyang Han, Zi-Yu Li, Diwei Su et al.· Proceedings of the 32nd ACM...· 0 citations
Existing Online Continual Learning (OCL) methods, particularly those based on Parameter-Efficient Fine-Tuning (PEFT), predominantly operate under a Static Inference Assumption, which means freezing model parameters immediately after training. This paradigm ignores the inevitable covariate shift in non-stationary test s...
Yuyang Han, Ziyu Li, Diwei Su et al.· Proceedings of the 32nd ACM...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.