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stat.ML2019★ 4 cited
Multi-Resolution Weak Supervision for Sequential Data
Frederic Sala, Paroma Varma, Jason Fries +8
Since manually labeling training data is slow and expensive, recent industrial and scientific research efforts have turned to weaker or noisier forms of supervision sources. Howeve…
stat.ML2019★ 14 cited
Learning Dependency Structures for Weak Supervision Models
Paroma Varma, Frederic Sala, Ann He +2
Labeling training data is a key bottleneck in the modern machine learning pipeline. Recent weak supervision approaches combine labels from multiple noisy sources by estimating thei…