minority class

Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification JMLR 2026 GIER: Addressing Class Imbalance in GNNs Through Experience Replay AAAI 2026 Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution AAAI 2025 GDLLM: A Global Distance-aware Modeling Approach Based on Large Language Models for Event Temporal Relation Extraction EMNLP 2025 AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets NAACL 2024 Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors AAAI 2024 Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024 Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification EMNLP 2024 A Theoretical Analysis of the Learning Dynamics under Class Imbalance ICML 2023 Fairness-aware class imbalanced learning on multiple subgroups UAI 2023 FCC: Feature Clusters Compression for Long-Tailed Visual Recognition CVPR 2023 Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition AAAI 2023 Federated Learning with Label Distribution Skew via Logits Calibration ICML 2022 Robust High-Dimensional Classification From Few Positive Examples IJCAI 2022 De-Biasing Neural Networks With Estimated Offset for Class Imbalanced Learning WACV 2021 ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data ACML 2021 Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer NeurIPS 2021 Deep Generative Model for Robust Imbalance Classification CVPR 2020 M2m: Imbalanced Classification via Major-to-Minor Translation CVPR 2020 Generative Adversarial Minority Oversampling ICCV 2019 Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning AAAI 2019 Oversampling for Imbalanced Data via Optimal Transport AAAI 2019 Nearest-Neighbor-Based Active Learning for Rare Category Detection NeurIPS 2007