Co-occurring keywords · papers mentioning both
Papers
CLEX: Complementary Label Exchange Learning for Noisy Facial Expression Recognition
CVPR 2026
Content Diversity-guided Ambiguity Mitigation for Open-Set Noisy Label Learning
AAAI 2026
Debiased Orthogonal Boundary-Driven Efficient Noise Mitigation
ACL 2026
Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels
AAAI 2026
Mitigating Endogenous Confirmation Bias in Noisy Label Learning for Vision-Language Models
AAAI 2026
Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval
AAAI 2026
Reciprocal Teaching: Dynamic Multi-Model Teacher-Student Learning for Multiple Noisy Annotations
WACV 2026
AlleNoise - large-scale text classification benchmark dataset with real-world label noise
AISTATS 2025
Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels
ICCV 2025
CASC-AI: Consensus-aware Self-corrective Learning for Cell Segmentation with Noisy Labels
MIDL 2025
COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement
IJCAI 2025
Combating Semantic Contamination in Learning with Label Noise
AAAI 2025
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
CVPR 2025
Directional Label Diffusion Model for Learning from Noisy Labels
CVPR 2025
Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning
IJCAI 2025
Joint Asymmetric Loss for Learning with Noisy Labels
ICCV 2025
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space
AAAI 2025
Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels
IJCAI 2025
Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels
ICCV 2025
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models
CVPR 2025
Optimized Gradient Clipping for Noisy Label Learning
AAAI 2025
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy
IJCAI 2025
Revisiting Interpolation for Noisy Label Correction
AAAI 2025
Robust Dataset Condensation using Supervised Contrastive Learning
ICCV 2025
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data
AAAI 2025