{"total":28,"rows":[{"id":"2502.08767","title":"SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence","created":"2025-02-12","cited_by_count":18,"area":null},{"id":"2412.08174","title":"Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?","created":"2024-12-11","cited_by_count":13,"area":null},{"id":"2505.18442","title":"Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting","created":"2025-05-24","cited_by_count":12,"area":null},{"id":"2103.11988","title":"Self-paced ensemble learning for speech and audio classification","created":"2021-03-22","cited_by_count":11,"area":null},{"id":"2406.08819","title":"AIM: Attributing, Interpreting, Mitigating Data Unfairness","created":"2024-06-13","cited_by_count":9,"area":null},{"id":"2204.09957","title":"Self-paced Multi-grained Cross-modal Interaction Modeling for Referring Expression Comprehension","created":"2022-04-21","cited_by_count":8,"area":null},{"id":"2505.17451","title":"CLIMB: Class-imbalanced Learning Benchmark on Tabular Data","created":"2025-05-23","cited_by_count":8,"area":null},{"id":"2111.12776","title":"IMBENS: Ensemble Class-imbalanced Learning in Python","created":"2021-11-24","cited_by_count":6,"area":null},{"id":"2111.12791","title":"Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning","created":"2021-11-24","cited_by_count":5,"area":null},{"id":"2106.10352","title":"Cross-hospital Sepsis Early Detection via Semi-supervised Optimal Transport with Self-paced Ensemble","created":"2021-06-18","cited_by_count":4,"area":null},{"id":"2205.07427","title":"Exploring the Learning Difficulty of Data Theory and Measure","created":"2022-05-16","cited_by_count":4,"area":null},{"id":"2106.08488","title":"Predictive Modeling of Hospital Readmission: Challenges and Solutions","created":"2021-06-16","cited_by_count":3,"area":null},{"id":"2406.12222","title":"BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning","created":"2024-06-18","cited_by_count":3,"area":null},{"id":"2207.10858","title":"Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data","created":"2022-07-22","cited_by_count":2,"area":null},{"id":"2505.12300","title":"HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models","created":"2025-05-18","cited_by_count":2,"area":null},{"id":"2201.03957","title":"Multi-granularity Relabeled Under-sampling Algorithm for Imbalanced Data","created":"2022-01-11","cited_by_count":1,"area":null},{"id":"2310.07917","title":"A Review of Machine Learning Techniques in Imbalanced Data and Future Trends","created":"2023-10-11","cited_by_count":1,"area":null},{"id":"2311.16650","title":"Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification","created":"2023-11-28","cited_by_count":1,"area":null},{"id":"2504.14800","title":"A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions","created":"2025-04-21","cited_by_count":1,"area":null},{"id":"2602.21717","title":"C$^{2}$TC: A Training-Free Framework for Efficient Tabular Data Condensation","created":"2026-02-25","cited_by_count":1,"area":null},{"id":"2203.10769","title":"ASE: Anomaly Scoring Based Ensemble Learning for Imbalanced Datasets","created":"2022-03-21","cited_by_count":0,"area":null},{"id":"2206.13507","title":"Envelope imbalanced ensemble model with deep sample learning and local-global structure consistency","created":"2022-06-25","cited_by_count":0,"area":null},{"id":"2412.13439","title":"Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach","created":"2024-12-18","cited_by_count":0,"area":null},{"id":"2412.16881","title":"Predicting the Reliability of an Image Classifier under Image Distortion","created":"2024-12-22","cited_by_count":0,"area":null},{"id":"2504.18771","title":"Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications","created":"2025-04-26","cited_by_count":0,"area":null},{"id":"2505.04204","title":"Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced Datasets","created":"2025-05-07","cited_by_count":0,"area":null},{"id":"2505.18741","title":"MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2606.19186","title":"Learning to Annotate Delayed and False AEB Events: A Practical System for Extreme Class Imbalance and Asymmetric Label Noise","created":"2026-06-17","cited_by_count":0,"area":null}],"next_cursor":null}