labeling function

When and How Often is Weighted Majority Vote Optimal Under Log Loss? UAI 2026 Collaborative Learning with Different Labeling Functions ICML 2024 Learning Hyper Label Model for Programmatic Weak Supervision ICLR 2023 Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision AISTATS 2023 LogicDP: Creating Labels for Graph Data via Inductive Logic Programming ICLR 2023 SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking EMNLP 2023 ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision EMNLP 2023 Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis CVPR 2022 AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels NeurIPS 2022 Firebolt: Weak Supervision Under Weaker Assumptions AISTATS 2022 Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming ACL 2022 Programmable Annotation with Diversed Heuristics and Data Denoising COLING 2022 SepLL: Separating Latent Class Labels from Weak Supervision Noise EMNLP 2022 Constrained labeling for weakly supervised learning UAI 2021 KnowMAN: Weakly Supervised Multinomial Adversarial Networks EMNLP 2021 skweak: Weak Supervision Made Easy for NLP ACL 2021 Iterative Data Programming for Expanding Text Classification Corpora AAAI 2020 Named Entity Recognition without Labelled Data: A Weak Supervision Approach ACL 2020 Robust Data Programming with Precision-guided Labeling Functions AAAI 2020 Ruler: Data Programming by Demonstration for Document Labeling EMNLP 2020 Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data CVPR 2018 Training Classifiers with Natural Language Explanations ACL 2018