This is the first comprehensive survey of OOD generalization methodologies for time series, organized across data distribution, representation learning, and OOD evaluation.
Tackling concept drift by temporal inductive transfer, in: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, p
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Out-of-Distribution Generalization in Time Series: A Survey
This is the first comprehensive survey of OOD generalization methodologies for time series, organized across data distribution, representation learning, and OOD evaluation.