{"total":12,"rows":[{"id":"2408.00483","title":"A Systematic Review on Long-Tailed Learning","created":"2024-08-01","cited_by_count":28,"area":null},{"id":"2503.01924","title":"TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions","created":"2025-03-02","cited_by_count":6,"area":null},{"id":"2503.07501","title":"Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond","created":"2025-03-10","cited_by_count":6,"area":null},{"id":"2511.11009","title":"Unsupervised Robust Domain Adaptation: Paradigm, Theory and Algorithm","created":"2025-11-14","cited_by_count":3,"area":null},{"id":"2411.13687","title":"Your Extreme Multi-label Classifier is Secretly a Hierarchical Text Classifier for Free","created":"2024-11-20","cited_by_count":2,"area":null},{"id":"2504.00721","title":"Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution","created":"2025-04-01","cited_by_count":2,"area":null},{"id":"2604.24332","title":"Mitigating Error Amplification in Fast Adversarial Training","created":"2026-04-27","cited_by_count":1,"area":null},{"id":"2605.13395","title":"Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation","created":"2026-05-13","cited_by_count":1,"area":null},{"id":"2604.24350","title":"Unveiling the Backdoor Mechanism Hidden Behind Catastrophic Overfitting in Fast Adversarial Training","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2605.02183","title":"Manifold-Constrained Adversarial Training for Long-Tailed Robustness via Geometric Alignment","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2606.10091","title":"SoK: Colluding Adversaries in Machine Learning Pipelines","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2608.09688","title":"Confusion-Geometry Rebalancing for Long-Tailed Adversarial Training","created":"2026-08-10","cited_by_count":0,"area":null}],"next_cursor":null}