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Papers
More Labels or Cases? Assessing Label Variation in Natural Language Inference
EACL 2024
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses
CVPR 2024
Human-in-the-Loop Mixup
UAI 2023
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks
Interspeech 2022
Resolving label uncertainty with implicit posterior models
UAI 2022
Understanding Intrinsic Robustness Using Label Uncertainty
ICLR 2022
Embracing Uncertainty: Decoupling and De-Bias for Robust Temporal Grounding
CVPR 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification
AAAI 2021
Probabilistic Object Detection: Definition and Evaluation
WACV 2020
Cautious Collective Classification
JMLR 2009