42 citations · 64 across the 4 of their papers we have counts for
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cs.LG2020★ 42 cited
Diagnosing Concept Drift with Visual Analytics
Weikai Yang, Zhen Li, Mengchen Liu +4
Concept drift is a phenomenon in which the distribution of a data stream changes over time in unforeseen ways, causing prediction models built on historical data to become inaccura…
cs.HC2020★ 6 cited
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples
Changjian Chen, Jun Yuan, Yafeng Lu +4
One major cause of performance degradation in predictive models is that the test samples are not well covered by the training data. Such not well-represented samples are called OoD…