Title |
|---|
 Local Boosting for Weakly-Supervised LearningKnowledge Discovery and Data Mining (KDD), 2023 |
 Weakly Supervised Label Learning FlowsNeural Networks (Neural Netw.), 2023 |
 Optimising Human-Machine Collaboration for Efficient High-Precision
Information Extraction from Text DocumentsACM Journal on Responsible Computing (JRC), 2023 |
 Losses over Labels: Weakly Supervised Learning via Direct Loss
ConstructionAAAI Conference on Artificial Intelligence (AAAI), 2022 Dylan Sam J. Zico Kolter |
 Language Models in the Loop: Incorporating Prompting into Weak
SupervisionACM / IMS Journal of Data Science (JDS), 2022 |
 Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data
ProgrammingProceedings of the VLDB Endowment (PVLDB), 2022 |
