{"total":24,"rows":[{"id":"2303.10158","title":"Data-centric Artificial Intelligence: A Survey","created":"2023-03-17","cited_by_count":203,"area":null},{"id":"2110.02444","title":"Influence-Balanced Loss for Imbalanced Visual Classification","created":"2021-10-06","cited_by_count":91,"area":null},{"id":"2308.08428","title":"ALIP: Adaptive Language-Image Pre-training with Synthetic Caption","created":"2023-08-16","cited_by_count":70,"area":null},{"id":"2312.00678","title":"The Efficiency Spectrum of Large Language Models: An Algorithmic Survey","created":"2023-12-01","cited_by_count":26,"area":null},{"id":"2203.07856","title":"Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting","created":"2022-03-15","cited_by_count":23,"area":null},{"id":"2102.12894","title":"Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes","created":"2021-02-21","cited_by_count":19,"area":null},{"id":"2302.12814","title":"GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification","created":"2023-02-24","cited_by_count":19,"area":null},{"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":"2310.18765","title":"Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition","created":"2023-10-28","cited_by_count":13,"area":null},{"id":"2310.03331","title":"Fine-tune Language Models to Approximate Unbiased In-context Learning","created":"2023-10-05","cited_by_count":12,"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":"2502.08960","title":"A Comprehensive Survey on Imbalanced Data Learning","created":"2025-02-13","cited_by_count":10,"area":null},{"id":"2208.12433","title":"Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning","created":"2022-08-26","cited_by_count":9,"area":null},{"id":"2406.08819","title":"AIM: Attributing, Interpreting, Mitigating Data Unfairness","created":"2024-06-13","cited_by_count":9,"area":null},{"id":"2310.16499","title":"Data Optimization in Deep Learning: A Survey","created":"2023-10-25","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":"2206.05749","title":"Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms","created":"2022-06-12","cited_by_count":4,"area":null},{"id":"2211.00376","title":"Automated Imbalanced Learning","created":"2022-11-01","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":"2201.03957","title":"Multi-granularity Relabeled Under-sampling Algorithm for Imbalanced Data","created":"2022-01-11","cited_by_count":1,"area":null},{"id":"2202.10550","title":"Imbalanced Classification via Explicit Gradient Learning From Augmented Data","created":"2022-02-21","cited_by_count":0,"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":"2308.14838","title":"Tackling Diverse Minorities in Imbalanced Classification","created":"2023-08-28","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}],"next_cursor":null}