PETSA adapts frozen time-series forecasters at test time using gated low-rank input and output calibration modules and a combined robust, frequency, and structural loss, matching or beating full-model TTA with far fewer parameters.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting
PETSA adapts frozen time-series forecasters at test time using gated low-rank input and output calibration modules and a combined robust, frequency, and structural loss, matching or beating full-model TTA with far fewer parameters.