[KongchangAI]
ConceptWeak Supervision / 弱监督

Weak Supervision

A data labeling approach in machine learning that uses labeling functions written by domain experts combined with probabilistic models to generate soft labels, serving as a substitute for large-scale manual annotation and substantially reducing the cost of training data construction.

Timeline (last 90 days)

Oct 19

HaCKRS's paired structure provides a natural experimental platform for multimodal learning, domain adaptation, and weakly supervised learning, because the same scene has both high-quality and low-quality observations.

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All Facts (1)

Unverified

HaCKRS's paired structure provides a natural experimental platform for multimodal learning, domain adaptation, and weakly supervised learning, because the same scene has both high-quality and low-quality observations.

50%

Source Articles

New Breakthrough in Consumer-Grade Sonar: The HaCKRS Dual-Modality Fish School Monitoring DatasetOct 19Trained Classifier vs. Zero-Shot LLM: How to Choose for Classification TasksOct 5Snorkel AI's Valuation Triples to $3.5 Billion — Why AI Training Data Is the New Gold RushSep 22