Weakly Supervised Learning

NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition EMNLP 2024 Noise Correction on Subjective Datasets ACL 2024 NoiseGPT: Label Noise Detection and Rectification through Probability Curvature NeurIPS 2024 Noisy-Correspondence Learning for Text-to-Image Person Re-identification CVPR 2024 Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation AAAI 2024 NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise NeurIPS 2024 Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom NeurIPS 2024 Noisy Multi-Label Text Classification via Instance-Label Pair Correction NAACL 2024 Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods NeurIPS 2024 No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning IJCAI 2024 Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis EMNLP 2024 OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-Supervised Video Anomaly Detection WACV 2024 Of Models and Men: Probing Neural Networks for Agreement Attraction with Psycholinguistic Data CoNLL 2024 On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression JMLR 2024 On the Effects of Data Scale on UI Control Agents NeurIPS 2024 On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models IJCAI 2024 On the impact of several regularization techniques on label noise robustness of self-supervised speaker verification systems Interspeech 2024 On Truthing Issues in Supervised Classification JMLR 2024 OOVs in the Spotlight: How to Inflect Them? COLING 2024 OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data SemEval 2024 Open-Set Facial Expression Recognition AAAI 2024 Open-Vocabulary Object Detection via Language Hierarchy NeurIPS 2024 Optimistic Rates for Learning from Label Proportions COLT 2024 Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits AISTATS 2024 Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024