conftrace_

label noise

498 papers

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Co-occurring keywords

noisy label (321) noisy label learning (163) deep neural network (1803) semi-supervised learning (2341) weakly supervised learning (1328) text classification (6793) image classification (1944) data augmentation (3052) representation learning (6206) active learning (1301)

Papers

AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction AAAI 2025
RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise AAAI 2025
Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels IJCAI 2025
DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition NAACL 2025
Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025
Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling AAAI 2025
SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024
Robust Node Classification on Graph Data with Graph and Label Noise AAAI 2024
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NIPS 2024
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels AAAI 2024
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations AAAI 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024
VF-Detector: Making Multi-Granularity Code Changes on Vulnerability Fix Detector Robust to Mislabeled Changes IJCAI 2024
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss IJCAI 2024
Denoising Labeled Data for Comment Moderation Using Active Learning COLING 2024
FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise IJCAI 2024
Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training COLING 2024
Fine-tuning Pre-trained Models for Robustness under Noisy Labels IJCAI 2024
Trusted Multi-view Learning with Label Noise IJCAI 2024
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise NIPS 2024
Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection IJCAI 2024
Federated Label-Noise Learning with Local Diversity Product Regularization AAAI 2024
Towards Robust Multi-Label Learning against Dirty Label Noise IJCAI 2024
Suppressing Uncertainty in Gaze Estimation AAAI 2024