noisy label

Learning with Noisy Labels Using Hyperspherical Margin Weighting AAAI 2024 Learning with Structural Labels for Learning with Noisy Labels CVPR 2024 Linear Distance Metric Learning with Noisy Labels JMLR 2024 Local Graph Clustering with Noisy Labels ICLR 2024 Minimax Risk Classifiers for Mislabeled Data: a Study on Patient Outcome Prediction Tasks MLHC 2024 Negative Pre-aware for Noisy Cross-Modal Matching AAAI 2024 Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods NeurIPS 2024 On Truthing Issues in Supervised Classification JMLR 2024 Perplexity-aware Correction for Robust Alignment with Noisy Preferences NeurIPS 2024 Robust Classification via Regression for Learning with Noisy Labels ICLR 2024 Robust Loss Functions for Training Decision Trees with Noisy Labels AAAI 2024 Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data AAAI 2024 Sample Selection via Contrastive Fragmentation for Noisy Label Regression NeurIPS 2024 Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection MLHC 2024 Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances NAACL 2024 Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution NeurIPS 2024 Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks NeurIPS 2024 Towards Robust Temporal Activity Localization Learning with Noisy Labels COLING 2024 Trustworthy Machine Learning under Imperfect Data IJCAI 2024 TTM-RE: Memory-Augmented Document-Level Relation Extraction ACL 2024 Which Is More Effective in Label Noise Cleaning, Correction or Filtering? AAAI 2024 Active Negative Loss Functions for Learning with Noisy Labels NeurIPS 2023 Adaptive Textual Label Noise Learning based on Pre-trained Models EMNLP 2023 ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels AAAI 2023 A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 2023