label distribution

Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning ACL 2023 TüReuth Legal at SemEval-2023 Task 6: Modelling Local and Global Structure of Judgements for Rhetorical Role Prediction SemEval 2023 Balanced MSE for Imbalanced Visual Regression CVPR 2022 Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective CVPR 2022 Establishing Annotation Quality in Multi-label Annotations COLING 2022 Fusion Label Enhancement for Multi-Label Learning IJCAI 2022 KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks COLING 2022 Label distributions help implicit discourse relation classification COLING 2022 Predicting Label Distribution from Multi-label Ranking NeurIPS 2022 Predicting label distribution improves non-intrusive speech quality estimation Interspeech 2022 Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data CVPR 2022 TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification ICML 2022 Aggregating From Multiple Target-Shifted Sources ICML 2021 Delving into Deep Imbalanced Regression ICML 2021 Embracing Ambiguity: Shifting the Training Target of NLI Models ACL 2021 Improving Embedding-based Large-scale Retrieval via Label Enhancement EMNLP 2021 Instance-Dependent Partial Label Learning NeurIPS 2021 Label Confusion Learning to Enhance Text Classification Models AAAI 2021 Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation CVPR 2021 Video Summarization via Label Distributions Dual-Reward IJCAI 2021 Label Distribution for Learning with Noisy Labels IJCAI 2020 Partial Multi-Label Learning with Label Distribution AAAI 2020 Tensor-based multi-view label enhancement for multi-label learning IJCAI 2020 Variational Label Enhancement ICML 2020 What Can We Learn from Collective Human Opinions on Natural Language Inference Data? EMNLP 2020