label distribution learning

Adaptive Momentum and EMA-weighted Modeling for Imbalanced Label Distribution Learning AAAI 2026 Distribution Highlighted Reference-based Label Distribution Learning for Facial Age Estimation WACV 2026 Learning Label Distribution with Dirichlet Process Mixture Model AAAI 2026 SokraTUM at SemEval-2026 Task 3: A hybrid cascade of Label Distribution Learning, RAG supported generative extraction and contrastive metric learning for dimensional sentiment analysis SemEval 2026 Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance AAAI 2026 Adaptive-Grained Label Distribution Learning AAAI 2025 Approximately Correct Label Distribution Learning ICML 2025 Decoupled Imbalanced Label Distribution Learning IJCAI 2025 DeMeVa at LeWiDi-2025: Modeling Perspectives with In-Context Learning and Label Distribution Learning EMNLP 2025 Label Distribution Learning using the Squared Neural Family on the Probability Simplex UAI 2025 Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning IJCAI 2025 LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning ICML 2025 Exploiting Multi-Label Correlation in Label Distribution Learning IJCAI 2024 Generative Calibration of Inaccurate Annotation for Label Distribution Learning AAAI 2024 GLDL: Graph Label Distribution Learning AAAI 2024 Hard Sample-Aware Consistency for Low-Resolution Facial Expression Recognition WACV 2024 HGDL: Heterogeneous Graph Label Distribution Learning NeurIPS 2024 In-Context Example Ordering Guided by Label Distributions NAACL 2024 Label Distribution Learning from Logical Label IJCAI 2024 Learning Triangular Distribution in Visual World CVPR 2024 Learning with Fitzpatrick Losses NeurIPS 2024 No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning IJCAI 2024 Predicting Label Distribution from Ternary Labels NeurIPS 2024 Trusted re-weighting for label distribution learning UAI 2024 Contrastive Label Enhancement IJCAI 2023