High-level concept, why discrepancies matter, and common application areas.
What is Discrepancy Detection?
Algorithmic approaches for detecting and quantifying discrepancies across data, outputs, and human labels.
Algorithm Categories Overview
Design patterns for involving humans in finding, validating, and resolving discrepancies.
When to Involve Humans
How to measure discrepancy detection performance, drift, and impact on downstream tasks.
Hands-on exercises, quizzes, and sandbox code for building and evaluating discrepancy detectors.