A learned retrieval system lets classifiers draw on historical examples to maintain accuracy under distribution shifts by treating the problem as time series prediction.
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Learning to Query History: Nonstationary Classification via Learned Retrieval
A learned retrieval system lets classifiers draw on historical examples to maintain accuracy under distribution shifts by treating the problem as time series prediction.