SHIFT is a hierarchical hypothesis-testing method that detects subgroups with large model performance decay under distribution shift and explains the decay via variable-subset-specific covariate or outcome shifts.
C., Walker, I., and Glocker, B
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"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift
SHIFT is a hierarchical hypothesis-testing method that detects subgroups with large model performance decay under distribution shift and explains the decay via variable-subset-specific covariate or outcome shifts.