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conftrace_

noisy label learning

171 papers

NLL

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