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conftrace_

instance-dependent noise

19 papers

IDN

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