A trunk-branch method for adapting to conflicting time series tasks reports large error reductions on a synthetic benchmark, but the comparison is confounded by unequal adaptation budgets and the theory overclaims relative to LoRA.
Trace: Time series parameter efficient fine-tuning
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Dynamic Perturbed Adaptive Method for Infinite Task-Conflicting Time Series
A trunk-branch method for adapting to conflicting time series tasks reports large error reductions on a synthetic benchmark, but the comparison is confounded by unequal adaptation budgets and the theory overclaims relative to LoRA.