imbalanced classification

REGLAT at AbjadMed: Handling Imbalanced Arabic Medical Text Classification via Hierarchical KNN-MLP Architecture EACL 2026 Can LLMs Find a Needle in a Haystack? A Look at Anomaly Detection Language Modeling EMNLP 2025 CICL at SemEval-2025 Task 9: A Pilot Study on Different Machine Learning Models for Food Hazard Detection Challenge SemEval 2025 Decoupled Imbalanced Label Distribution Learning IJCAI 2025 Enhancing Depression Detection via Question-wise Modality Fusion NAACL 2025 Kernel-Based Enhanced Oversampling Method for Imbalanced Classification ACML 2025 Optimal downsampling for Imbalanced Classification with Generalized Linear Models AISTATS 2025 Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach AAAI 2025 Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class AAAI 2025 Towards Real-World Rumor Detection: Anomaly Detection Framework with Graph Supervised Contrastive Learning COLING 2025 Transfer Neyman-Pearson Algorithm for Outlier Detection AISTATS 2025 AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets NAACL 2024 AUC Maximization under Positive Distribution Shift NeurIPS 2024 Label Supervised Contrastive Learning for Imbalanced Text Classification in Euclidean and Hyperbolic Embedding Spaces EACL 2024 Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation AAAI 2024 Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NeurIPS 2024 SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology WACV 2024 Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives ICLR 2024 Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024 Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning AAAI 2024 Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NeurIPS 2024 AUC Maximization for Low-Resource Named Entity Recognition AAAI 2023 Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends NeurIPS 2023 Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition CVPR 2023 Coco at SemEval-2023 Task 10: Explainable Detection of Online Sexism SemEval 2023