Imbalanced Learning

Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification JMLR 2026 ICI Innolabs at SemEval-2026 Task 13: Sliding Windows Meet Code Transformers SemEval 2026 pfr821 at SemEval-2026 Task 9: Multilingual Polarization Detection via Hybrid XLM-RoBERTa with Targeted Data Augmentation and Imbalance-Aware Training SemEval 2026 Adaptive Across-Subcenter Representation Learning for Imbalanced Anomalous Sound Detection Interspeech 2025 Biased Incomplete Multi-View Learning AAAI 2025 Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning AAAI 2025 Improve Representation for Imbalanced Regression through Geometric Constraints CVPR 2025 Instance-Selection-Inspired Undersampling Strategies for Bias Reduction in Small and Large Language Models for Binary Text Classification ACL 2025 Kernel-Based Enhanced Oversampling Method for Imbalanced Classification ACML 2025 PATeam at SemEval-2025 Task 9: LLM-Augmented Fusion for AI-Driven Food Safety Hazard Detection SemEval 2025 RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning UAI 2025 Robust Logit Adjustment for Learning with Long-Tailed Noisy Data AAAI 2025 SemEval-2025 Task 9: The Food Hazard Detection Challenge SemEval 2025 Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class AAAI 2025 Transfer Neyman-Pearson Algorithm for Outlier Detection AISTATS 2025 AUC Maximization under Positive Distribution Shift NeurIPS 2024 ConR: Contrastive Regularizer for Deep Imbalanced Regression ICLR 2024 Decoupled Contrastive Learning for Long-Tailed Recognition AAAI 2024 Gradient Reweighting: Towards Imbalanced Class-Incremental Learning CVPR 2024 Label Supervised Contrastive Learning for Imbalanced Text Classification in Euclidean and Hyperbolic Embedding Spaces EACL 2024 Long-Tail Class Incremental Learning via Independent Sub-prototype Construction CVPR 2024 Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods NeurIPS 2024 REDUCR: Robust Data Downsampling using Class Priority Reweighting NeurIPS 2024 Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NeurIPS 2024 AAST-NLP at ArAIEval Shared Task: Tackling Persuasion technique and Disinformation Detection using Pre-Trained Language Models On Imbalanced Datasets EMNLP 2023