weakly supervised learning
Sign in to savemachine learning approach where noisy, limited, or imprecise sources are used to provide supervision signal for labeling large amounts of training data in a supervised learning setting
machine learning approach where noisy, limited, or imprecise sources are used to provide supervision signal for labeling large amounts of training data in a supervised learning setting
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).