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Papers
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo
ACL 2023
Generative Label Enhancement with Gaussian Mixture and Partial Ranking
AAAI 2023
Imbalanced Label Distribution Learning
AAAI 2023
Label Distribution Changing Learning with Sample Space Expanding
JMLR 2023
Label Information Bottleneck for Label Enhancement
CVPR 2023
Ordinal Label Distribution Learning
ICCV 2023
Uncertainty-Aware Label Distribution Learning for Facial Expression Recognition
WACV 2023
Confidence Measure for Automatic Age Estimation From Speech
Interspeech 2022
Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data
CVPR 2022
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression
CVPR 2022
A Circular-Structured Representation for Visual Emotion Distribution Learning
CVPR 2021
Computationally Efficient Wasserstein Loss for Structured Labels
EACL 2021
Distilling Virtual Examples for Long-Tailed Recognition
ICCV 2021
Label Distribution Learning Machine
ICML 2021
Learn the Highest Label and Rest Label Description Degrees
IJCAI 2021
MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment
Interspeech 2021
Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
AAAI 2021
Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition
CVPR 2020
Label Enhancement for Label Distribution Learning via Prior Knowledge
IJCAI 2020
Label Enhancement with Sample Correlations via Low-Rank Representation
AAAI 2020
MIDAS at SemEval-2020 Task 10: Emphasis Selection Using Label Distribution Learning and Contextual Embeddings
SemEval 2020
Privileged label enhancement with multi-label learning
IJCAI 2020
Classification with Label Distribution Learning
IJCAI 2019
Discrete Binary Coding based Label Distribution Learning
IJCAI 2019
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally
CVPR 2019