noise correction

Collaborative Multi-view Learning from Crowds UAI 2026 How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation NAACL 2025 Label Noise Correction via Fuzzy Learning Machine AAAI 2025 Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction AAAI 2025 Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters NeurIPS 2024 IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NeurIPS 2024 Which Is More Effective in Label Noise Cleaning, Correction or Filtering? AAAI 2024 Adaptive Textual Label Noise Learning based on Pre-trained Models EMNLP 2023 Fine-Grained Classification With Noisy Labels CVPR 2023 Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning EMNLP 2023 NewsPanda: Media Monitoring for Timely Conservation Action AAAI 2023 Noisy Pair Corrector for Dense Retrieval EMNLP 2023 Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels AAAI 2022 Learning from Noisy Labels with No Change to the Training Process ICML 2021 Label Noise in Context ACL 2020 Learning Domain Terms - Empirical Methods to Enhance Enterprise Text Analytics Performance COLING 2020 Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise NeurIPS 2018