Co-occurring keywords · papers mentioning both
Papers
Noisy Label Calibration for Multi-View Classification
AAAI 2025
Token-Level Metrics for Detecting Incorrect Gold Annotations in Named Entity Recognition
EMNLP 2025
NoiseGPT: Label Noise Detection and Rectification through Probability Curvature
NeurIPS 2024
Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations
AAAI 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
NeurIPS 2023
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos
AAAI 2023
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
NeurIPS 2022
Detecting Corrupted Labels Without Training a Model to Predict
ICML 2022
Detecting Label Errors by Using Pre-Trained Language Models
EMNLP 2022
FINE Samples for Learning with Noisy Labels
NeurIPS 2021
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
EMNLP 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking
NeurIPS 2020
Label Noise in Context
ACL 2020
Iterative Learning With Open-Set Noisy Labels
CVPR 2018