Co-occurring keywords · papers mentioning both
Papers
Label Propagation with Weak Supervision
ICLR 2023
LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise
ICCV 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples
ICCV 2023
Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization
ICCV 2023
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features
AAAI 2023
Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels
ICCV 2023
Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning
EMNLP 2023
Learning to love diligent trolls: Accounting for rater effects in the dialogue safety task
EMNLP 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach
ICLR 2023
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
CVPR 2023
Leveraging Unlabeled Data to Track Memorization
ICLR 2023
Meta Self-Refinement for Robust Learning with Weak Supervision
EACL 2023
Multilingual Content Moderation: A Case Study on Reddit
EACL 2023
Mutual Partial Label Learning with Competitive Label Noise
ICLR 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
AAAI 2023
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance
EMNLP 2023
Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction
EMNLP 2023
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing
ACL 2023
On Evaluation of Document Classification with RVL-CDIP
EACL 2023
OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels
CVPR 2023
Over-Training with Mixup May Hurt Generalization
ICLR 2023
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels
ICCV 2023
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
IJCAI 2023
Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval
ICCV 2023
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity
UAI 2023