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What is: AdaRNN?

SourceAdaRNN: Adaptive Learning and Forecasting of Time Series
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

AdaRNN is an adaptive RNN that learns an adaptive model through two modules: Temporal Distribution Characterization (TDC) and Temporal Distribution Matching (TDM) algorithms. Firstly, to better characterize the distribution information in time-series, TDC splits the training data into KK most diverse periods that have a large distribution gap inspired by the principle of maximum entropy. After that, a temporal distribution matching (TDM) algorithm is used to dynamically reduce distribution divergence using a RNN-based model.