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Papers
A²LC: Active and Automated Label Correction for Semantic Segmentation
AAAI 2026
TANGO: Text-Anchored Guided Optimization for Robust Fine-tuning Vision-Language Models under Label Noise
CVPR 2026
A Self-Denoising Model for Robust Few-Shot Relation Extraction
ACL 2025
Directional Label Diffusion Model for Learning from Noisy Labels
CVPR 2025
Distribution-Consistency-Guided Multi-modal Hashing
AAAI 2025
Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts
EMNLP 2025
Meta Label Correction with Generalization Regularizer
IJCAI 2025
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition
AAAI 2025
Revisiting Interpolation for Noisy Label Correction
AAAI 2025
Active Label Correction for Semantic Segmentation with Foundation Models
ICML 2024
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments
AAAI 2024
Noise Correction on Subjective Datasets
ACL 2024
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods
NeurIPS 2024
Robust Classification via Regression for Learning with Noisy Labels
ICLR 2024
Suppressing Uncertainty in Gaze Estimation
AAAI 2024
CrossSplit: Mitigating Label Noise Memorization through Data Splitting
ICML 2023
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
NeurIPS 2023
Enhanced Meta Label Correction for Coping with Label Corruption
ICCV 2023
Holistic Label Correction for Noisy Multi-Label Classification
ICCV 2023
Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model
NeurIPS 2023
Learning From Noisy Labels With Decoupled Meta Label Purifier
CVPR 2023
Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning
EMNLP 2023
Mutual Partial Label Learning with Competitive Label Noise
ICLR 2023
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels
NeurIPS 2023
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
IJCAI 2022