The authors propose a monitor and recover paradigm, supported by two of their own prior methods, as a more practical alternative to detect and abstain for distribution shift in learning-enabled cyber-physical systems.
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Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems
The authors propose a monitor and recover paradigm, supported by two of their own prior methods, as a more practical alternative to detect and abstain for distribution shift in learning-enabled cyber-physical systems.