{"total":23,"rows":[{"id":"2405.00334","title":"A Survey on Deep Active Learning: Recent Advances and New Frontiers","created":"2024-05-01","cited_by_count":54,"area":null},{"id":"2302.07317","title":"Algorithm Selection for Deep Active Learning with Imbalanced Datasets","created":"2023-02-14","cited_by_count":18,"area":null},{"id":"2209.15031","title":"Automatic Data Augmentation via Invariance-Constrained Learning","created":"2022-09-29","cited_by_count":17,"area":null},{"id":"2306.02426","title":"Resilient Constrained Learning","created":"2023-06-04","cited_by_count":15,"area":null},{"id":"2406.04558","title":"On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization","created":"2024-06-07","cited_by_count":12,"area":null},{"id":"2504.01212","title":"Cooper: A Library for Constrained Optimization in Deep Learning","created":"2025-04-01","cited_by_count":11,"area":null},{"id":"2403.11844","title":"Near-Optimal Solutions of Constrained Learning Problems","created":"2024-03-18","cited_by_count":9,"area":null},{"id":"2312.09196","title":"Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation","created":"2023-12-14","cited_by_count":8,"area":null},{"id":"2310.20673","title":"Balancing Act: Constraining Disparate Impact in Sparse Models","created":"2023-10-31","cited_by_count":7,"area":null},{"id":"2401.09787","title":"Querying Easily Flip-flopped Samples for Deep Active Learning","created":"2024-01-18","cited_by_count":7,"area":null},{"id":"2411.06353","title":"Deep Active Learning in the Open World","created":"2024-11-10","cited_by_count":5,"area":null},{"id":"2505.20628","title":"Position: Adopt Constraints Over Fixed Penalties in Deep Learning","created":"2025-05-27","cited_by_count":5,"area":null},{"id":"2210.00301","title":"Learning Globally Smooth Functions on Manifolds","created":"2022-10-01","cited_by_count":4,"area":null},{"id":"2310.00154","title":"Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation","created":"2023-09-29","cited_by_count":4,"area":null},{"id":"2402.09373","title":"Loss Shaping Constraints for Long-Term Time Series Forecasting","created":"2024-02-14","cited_by_count":4,"area":null},{"id":"2308.08224","title":"How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning","created":"2023-08-16","cited_by_count":2,"area":null},{"id":"2506.02203","title":"Constrained Sliced Wasserstein Embedding","created":"2025-06-02","cited_by_count":2,"area":null},{"id":"2510.20995","title":"AL-CoLe: Augmented Lagrangian for Constrained Learning","created":"2025-10-23","cited_by_count":2,"area":null},{"id":"2509.22500","title":"Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise","created":"2025-09-26","cited_by_count":1,"area":null},{"id":"2210.16412","title":"A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks","created":"2022-10-28","cited_by_count":0,"area":null},{"id":"2306.07905","title":"Omega: Optimistic EMA Gradients","created":"2023-06-13","cited_by_count":0,"area":null},{"id":"2307.01578","title":"Optimal and Efficient Binary Questioning for Human-in-the-Loop Annotation","created":"2023-07-04","cited_by_count":0,"area":null},{"id":"2606.07630","title":"Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance","created":"2026-05-30","cited_by_count":0,"area":null}],"next_cursor":null}