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noisy label

344 papers

Papers

ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NeurIPS 2024 Can Active Label Correction Improve LLM-based Modular AI Systems? EMNLP 2024 CoLAL: Co-learning Active Learning for Text Classification AAAI 2024 Collaborative Refining for Learning from Inaccurate Labels NeurIPS 2024 Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments AAAI 2024 DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data CVPR 2024 Dirichlet-Based Prediction Calibration for Learning with Noisy Labels AAAI 2024 Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget ICML 2024 Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks AAAI 2024 Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024 Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Framework EMNLP 2024 Entity Alignment with Noisy Annotations from Large Language Models NeurIPS 2024 Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning CVPR 2024 Federated Learning with Extremely Noisy Clients via Negative Distillation AAAI 2024 FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning ACML 2024 Fine-tuning Pre-trained Models for Robustness under Noisy Labels IJCAI 2024 Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance ACL 2024 Identifying Label Errors in Object Detection Datasets by Loss Inspection WACV 2024 Improving Grammatical Error Correction via Contextual Data Augmentation ACL 2024 Information-theoretic Limits of Online Classification with Noisy Labels NeurIPS 2024 IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples AAAI 2024 L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024 Label Consistency-based Worker Filtering for Crowdsourcing UAI 2024 Learning from Crowds with Dual-View K-Nearest Neighbor UAI 2024 Learning from Noisy Labels via Conditional Distributionally Robust Optimization NeurIPS 2024