# WISE-ATTA

The work introduces budgeted active test-time adaptation (ATTA), in which labels are available for only a fraction of batches in a long test stream, and proposes WISE-ATTA: lightweight online signals (the fraction of low-entropy predictions) plus a sliding-history quantile threshold and a budget-debt controller decide when to request supervision, while prediction drift relative to an EMA anchor selects a single sample to label; on ImageNet-C under CTTA/FTTA and on ImageNet-R/K/A it matches or improves on recent ATTA methods at one label per batch and reports up to 50% fewer labels.

The work introduces budgeted active test-time adaptation (ATTA), in which labels are available for only a fraction of batches in a long test stream, and proposes WISE-ATTA: lightweight online signals (the fraction of low-entropy predictions) plus a sliding-history quantile threshold and a budget-debt controller decide when to request supervision, while prediction drift relative to an EMA anchor selects a single sample to label; on ImageNet-C under CTTA/FTTA and on ImageNet-R/K/A it matches or improves on recent ATTA methods at one label per batch and reports up to 50% fewer labels.