label space

Semantic-Aware Feature Enhancement for Partial Label Learning AAAI 2026 Identifying and Reusing Learnwares Across Different Label Spaces IJCAI 2025 In-Context Learning with Long-Context Models: An In-Depth Exploration NAACL 2025 Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs NeurIPS 2024 Inference and Verbalization Functions During In-Context Learning EMNLP 2024 Open-world Multi-label Text Classification with Extremely Weak Supervision EMNLP 2024 Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation EACL 2023 Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction COLING 2022 RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression ICML 2022 Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022 Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning AISTATS 2022 Joining datasets via data augmentation in the label space for neural networks ICML 2021 Multi-Dimensional Classification via Sparse Label Encoding ICML 2021 Open Domain Generalization with Domain-Augmented Meta-Learning CVPR 2021 Evaluating Neural Morphological Taggers for Sanskrit ACL 2020 Multi-label classification: do Hamming loss and subset accuracy really conflict with each other? NeurIPS 2020 Self-Paced Multi-Label Learning with Diversity ACML 2019 A Principled Approach for Coarse-to-Fine MAP Inference CVPR 2014 Feature-aware Label Space Dimension Reduction for Multi-label Classification NeurIPS 2012 Multitask Learning without Label Correspondences NeurIPS 2010