Co-occurring keywords · papers mentioning both
Papers
AlleNoise - large-scale text classification benchmark dataset with real-world label noise
AISTATS 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise
AAAI 2025
SHIP: Structural Hierarchies for Instance-Dependent Partial Labels
WACV 2025
Limited-Supervised Multi-Label Learning with Dependency Noise
AAAI 2024
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels
WACV 2023
Identifiability of Label Noise Transition Matrix
ICML 2023
Instance-Dependent Noisy Label Learning via Graphical Modelling
WACV 2023
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
ICLR 2022
Fair Classification with Instance-dependent Label Noise
CLeaR 2022
Instance-Dependent Label-Noise Learning With Manifold-Regularized Transition Matrix Estimation
CVPR 2022
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations
ICLR 2022
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels
AAAI 2022
Robust Product Classification with Instance-Dependent Noise
ACL 2022
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
AAAI 2021
Confidence Scores Make Instance-dependent Label-noise Learning Possible
ICML 2021
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
ICLR 2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
AAAI 2021
Learning with Bounded Instance and Label-dependent Label Noise
ICML 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise
NeurIPS 2020