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label noise

569 papers

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Co-occurring keywords · papers mentioning both

noisy label (112) noisy label learning (69) deep neural network (49) semi-supervised learning (42) weakly supervised learning (41) text classification (29) image classification (27) data augmentation (24) representation learning (23) active learning (21)

Papers

Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels ICLR 2025 Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025 Robust Logit Adjustment for Learning with Long-Tailed Noisy Data AAAI 2025 RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise AAAI 2025 SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness AAAI 2025 SNaRe: Domain-aware Data Generation for Low-Resource Event Detection EMNLP 2025 Structural Entropy Guided Probabilistic Coding AAAI 2025 The Impact Label Noise and Choice of Threshold has on Cross-Entropy and Soft-Dice in Image Segmentation CVPR 2025 Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels CVPR 2025 Zero-Shot Grammar Competency Estimation Using Large Language Model Generated Pseudo Labels IJCNLP 2025 ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NeurIPS 2024 A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024 An Efficient Tester-Learner for Halfspaces ICLR 2024 A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise? CVPR 2024 Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards EMNLP 2024 Can Active Label Correction Improve LLM-based Modular AI Systems? EMNLP 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 CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise NeurIPS 2024 Co-training for Low Resource Scientific Natural Language Inference ACL 2024 Coupled Confusion Correction: Learning from Crowds with Sparse Annotations AAAI 2024 Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise NeurIPS 2024 Data-Centric Debugging: Mitigating Model Failures via Targeted Image Retrieval WACV 2024 Denoising Labeled Data for Comment Moderation Using Active Learning COLING 2024 Dirichlet-Based Prediction Calibration for Learning with Noisy Labels AAAI 2024