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Papers
Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Framework
EMNLP 2024
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood
AAAI 2024
Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures
AISTATS 2024
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels
AAAI 2022
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
AAAI 2021
Learning from Noisy Labels with No Change to the Training Process
ICML 2021
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
AAAI 2021
Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels
JMLR 2020
Safeguarded Dynamic Label Regression for Noisy Supervision
AAAI 2019
Robust Active Label Correction
AISTATS 2018