Open Internet by MindsNet

Handling Distribution Shift in Deployed ML Systems

Deployed ML systems face unavoidable data distribution drift over time. This drift poses a significant challenge in maintaining model performance and reliability. Effective approaches are needed to monitor and adapt to these changes.

Computing & Technology, Computer Science, Machine Learning