Research map / Label-efficient and robust learning / Recognition and long-tail
Statistical Analysis of an Adversarial Bayesian Weak Supervision Method
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Statistical analysis of an adversarial Bayesian label model for programmatic weak supervision, combining probabilistic and adversarial approaches.
Problem
Label models in programmatic weak supervision must aggregate noisy labeling function outputs into labels for training data; existing label models are either probabilistic or adversarial.
Approach
Analyzes an adversarial Bayesian label model for weak supervision, bridging the probabilistic and adversarial families of label models (abstract only available; details beyond the abstract are not stated).
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