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Label Noise
16 directly classified papers
Papers per year
2019: 1
2020: 4
2021: 3
2022: 3
2023: 4
2024: 1
Papers
Learning with Structural Labels for Learning with Noisy Labels
CVPR 2024
OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels
CVPR 2023
Adaptive Textual Label Noise Learning based on Pre-trained Models
EMNLP 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
IJCAI 2023
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels
NIPS 2023
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning
CVPR 2022
Robustness to Label Noise Depends on the Shape of the Noise Distribution
NIPS 2022
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets
AAAI 2022
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
AAAI 2021
Multi-Objective Interpolation Training for Robustness To Label Noise
CVPR 2021
Instance-adaptive training with noise-robust losses against noisy labels
EMNLP 2021
Label Noise in Context
ACL 2020
Cost-Accuracy Aware Adaptive Labeling for Active Learning
AAAI 2020
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators
AAAI 2020
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
ICML 2020
Safeguarded Dynamic Label Regression for Noisy Supervision
AAAI 2019
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