class distribution

Breaking Semantic Boundaries: Distribution-Guided Semantic Exploration for Creative Generation CVPR 2026 Debiased Sample Selection for Learning with Noisy Labels CVPR 2026 A Comparative Evaluation of Quantification Methods JMLR 2025 Bias Detection in Media: Traditional Models vs. Transformers in Analyzing Social Media Coverage of the Israeli-Gaza Conflict COLING 2025 Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification EMNLP 2025 CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning IJCAI 2025 Class-Wise Federated Averaging for Efficient Personalization ICCV 2025 Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets ICLR 2025 Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance ICLR 2025 Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection EMNLP 2024 Small Scale Data-Free Knowledge Distillation CVPR 2024 Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning NeurIPS 2023 Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need CVPR 2023 CDGNet: Class Distribution Guided Network for Human Parsing CVPR 2022 DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning CVPR 2022 Early Stopping Based on Unlabeled Samples in Text Classification ACL 2022 Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation ICCV 2021 Balancing via Generation for Multi-Class Text Classification Improvement EMNLP 2020 The Importance of the Test Set Size in Quantification Assessment IJCAI 2020 DyS: A Framework for Mixture Models in Quantification AAAI 2019 Quantification Under Prior Probability Shift: the Ratio Estimator and its Extensions JMLR 2019 Variational Few-Shot Learning ICCV 2019 Adaptive Sampling for SGD by Exploiting Side Information ICML 2016 Minimax Regret Classifier for Imprecise Class Distributions JMLR 2007