{"total":19,"rows":[{"id":"2402.19449","title":"Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models","created":"2024-02-29","cited_by_count":80,"area":null},{"id":"2402.18528","title":"Gradient Reweighting: Towards Imbalanced Class-Incremental Learning","created":"2024-02-28","cited_by_count":37,"area":null},{"id":"2405.09535","title":"Restoring balance: principled under/oversampling of data for optimal classification","created":"2024-05-15","cited_by_count":6,"area":null},{"id":"2306.00809","title":"Initial Guessing Bias: How Untrained Networks Favor Some Classes","created":"2023-06-01","cited_by_count":5,"area":null},{"id":"2406.17467","title":"Early learning of the optimal constant solution in neural networks and humans","created":"2024-06-25","cited_by_count":3,"area":null},{"id":"2412.01202","title":"Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models","created":"2024-12-02","cited_by_count":3,"area":null},{"id":"2412.08501","title":"GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient","created":"2024-12-11","cited_by_count":3,"area":null},{"id":"2510.27650","title":"Imbalanced Classification through the Lens of Spurious Correlations","created":"2025-10-31","cited_by_count":3,"area":null},{"id":"2308.09565","title":"Understanding the Role of Layer Normalization in Label-Skewed Federated Learning","created":"2023-08-18","cited_by_count":2,"area":null},{"id":"2306.13275","title":"On The Relationship Between Continual Learning and Long-Tailed Recognition","created":"2023-06-23","cited_by_count":1,"area":null},{"id":"2409.05598","title":"When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study","created":"2024-09-09","cited_by_count":1,"area":null},{"id":"2501.11638","title":"Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model","created":"2025-01-20","cited_by_count":1,"area":null},{"id":"2505.13122","title":"When majority rules, minority loses: bias amplification of gradient descent","created":"2025-05-19","cited_by_count":1,"area":null},{"id":"2406.07332","title":"Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach","created":"2024-06-11","cited_by_count":0,"area":null},{"id":"2601.04149","title":"A Theoretical and Empirical Taxonomy of Imbalance in Binary Classification","created":"2026-01-07","cited_by_count":0,"area":null},{"id":"2605.21507","title":"Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2605.24903","title":"SEED: Semi-supervised Continual MalwarE Detection for Tackling ConcEpt Drift on a BuDget","created":"2026-05-24","cited_by_count":0,"area":null},{"id":"2607.01474","title":"Class-Grouped Normalized Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2609.16380","title":"Bounded Adjustment with Reliability-Guided Embedding for Imbalanced Learning with Noisy Labels","created":"2026-09-14","cited_by_count":0,"area":null}],"next_cursor":null}