A parameter-light adaptive linear model (ALinear) outperforms larger baselines on long-horizon univariate forecasting benchmarks while using under 1% of their parameters, but the efficiency comparison rests on questionable baseline parameter counts.
Informer: Beyond efficient transformer for long sequence time-series forecasting,
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Does Scaling Law Apply in Time Series Forecasting?
A parameter-light adaptive linear model (ALinear) outperforms larger baselines on long-horizon univariate forecasting benchmarks while using under 1% of their parameters, but the efficiency comparison rests on questionable baseline parameter counts.