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Papers
CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training
ICCV 2025
Federated Label-Noise Learning with Local Diversity Product Regularization
AAAI 2024
Adaptive Textual Label Noise Learning based on Pre-trained Models
EMNLP 2023
CTW: Confident Time-Warping for Time-Series Label-Noise Learning
IJCAI 2023
Label-Noise Learning with Intrinsically Long-Tailed Data
ICCV 2023
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization
NeurIPS 2022
Instance-Dependent Label-Noise Learning With Manifold-Regularized Transition Matrix Estimation
CVPR 2022
Safe Weakly Supervised Learning
IJCAI 2021
Learning with Bounded Instance and Label-dependent Label Noise
ICML 2020
Are Anchor Points Really Indispensable in Label-Noise Learning?
NeurIPS 2019