Finding Label and Model Errors in Perception Data With Learned Observation Assertions

Daniel Kang, Nikos Arechiga, Sudeep Pillai +2

ML is being deployed in complex, real-world scenarios where errors have impactful consequences. In these systems, thorough testing of the ML pipelines is critical. A key component…