Co-occurring keywords · papers mentioning both
Papers
Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis
CVPR 2026
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
ECCV 2024
Efficient Model Stealing Defense with Noise Transition Matrix
CVPR 2024
Federated Label-Noise Learning with Local Diversity Product Regularization
AAAI 2024
Learning the Latent Causal Structure for Modeling Label Noise
NeurIPS 2024
Analysing the Noise Model Error for Realistic Noisy Label Data
AAAI 2021
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
ICML 2021
MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
CVPR 2021
Training Noise-Robust Deep Neural Networks via Meta-Learning
CVPR 2020
Masking: A New Perspective of Noisy Supervision
NeurIPS 2018