conftrace_

noisy label

321 papers

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Co-occurring keywords

label noise (498) noisy label learning (163) deep neural network (1803) weakly supervised learning (1328) semi-supervised learning (2341) distant supervision (315) robust learning (120) text classification (6793) convolutional neural network (4226) loss function (462)

Papers

Learning under Noisy Labels Spurious Points and Diverse Structures: TS40K a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems WACV 2025
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation CVPR 2025
Distribution-Consistency-Guided Multi-modal Hashing AAAI 2025
NUTMEG: Separating Signal From Noise in Annotator Disagreement EMNLP 2025
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data AAAI 2025
Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025
Optimized Gradient Clipping for Noisy Label Learning AAAI 2025
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels AAAI 2025
S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion AAAI 2025
Meta Label Correction with Generalization Regularizer IJCAI 2025
Revisiting Interpolation for Noisy Label Correction AAAI 2025
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning AAAI 2025
CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training ICCV 2025
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling AAAI 2025
Linear Distance Metric Learning with Noisy Labels JMLR 2024
Improving Grammatical Error Correction via Contextual Data Augmentation ACL 2024
On Truthing Issues in Supervised Classification JMLR 2024
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024
Learning with Noisy Labels Using Hyperspherical Margin Weighting AAAI 2024
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance ACL 2024
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels AAAI 2024
Federated Learning with Extremely Noisy Clients via Negative Distillation AAAI 2024
Robust Loss Functions for Training Decision Trees with Noisy Labels AAAI 2024
CoLAL: Co-learning Active Learning for Text Classification AAAI 2024
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples AAAI 2024