Beyond Manual Annotation: Engineering Self-Correcting Pseudo-Labeling Pipelines (opens in new tab)

Manual annotation is a massive bottleneck for multimodal inference systems in high-velocity production environments. If you want to survive catastrophic distribution shifts, you have to automate your labeling pipeline. I want to walk through a pseudo-labeling architecture we built that filters out extreme pipeline noise to hit a 0.93 F1 score using XGBoost. Semi-supervised strategies like pseudo-labeling look great on paper but often fail in practice. They suffer from confirmation bias. The m...