{"total":30,"rows":[{"id":"2107.00717","title":"SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios","created":"2021-07-01","cited_by_count":84,"area":null},{"id":"2104.02324","title":"Multiple instance active learning for object detection","created":"2021-04-06","cited_by_count":77,"area":null},{"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":"2111.01004","title":"Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling","created":"2021-11-01","cited_by_count":30,"area":null},{"id":"2301.09249","title":"Exploring Active 3D Object Detection from a Generalization Perspective","created":"2023-01-23","cited_by_count":26,"area":null},{"id":"2303.02535","title":"Streaming Active Learning with Deep Neural Networks","created":"2023-03-05","cited_by_count":20,"area":null},{"id":"2210.08375","title":"Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining","created":"2022-10-15","cited_by_count":19,"area":null},{"id":"2112.04386","title":"Which images to label for few-shot medical landmark detection?","created":"2021-12-07","cited_by_count":16,"area":null},{"id":"2211.13579","title":"Knowledge-Aware Federated Active Learning with Non-IID Data","created":"2022-11-24","cited_by_count":16,"area":null},{"id":"2103.05863","title":"AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation","created":"2021-03-10","cited_by_count":14,"area":null},{"id":"2206.06544","title":"A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks","created":"2022-06-14","cited_by_count":12,"area":null},{"id":"2305.17013","title":"D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias","created":"2023-05-26","cited_by_count":12,"area":null},{"id":"2404.17249","title":"Making Better Use of Unlabelled Data in Bayesian Active Learning","created":"2024-04-26","cited_by_count":10,"area":null},{"id":"2305.09610","title":"Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow","created":"2023-05-16","cited_by_count":8,"area":null},{"id":"2310.08035","title":"BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic Segmentation","created":"2023-10-12","cited_by_count":8,"area":null},{"id":"2112.05975","title":"CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation","created":"2021-12-11","cited_by_count":6,"area":null},{"id":"2206.05981","title":"Efficient Human-in-the-loop System for Guiding DNNs Attention","created":"2022-06-13","cited_by_count":4,"area":null},{"id":"2104.03956","title":"Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes","created":"2021-04-08","cited_by_count":2,"area":null},{"id":"2201.07200","title":"Optimizing Active Learning for Low Annotation Budgets","created":"2022-01-18","cited_by_count":2,"area":null},{"id":"2308.00721","title":"A Pre-trained Data Deduplication Model based on Active Learning","created":"2023-07-31","cited_by_count":2,"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":"2203.06215","title":"Can I see an Example? Active Learning the Long Tail of Attributes and Relations","created":"2022-03-11","cited_by_count":1,"area":null},{"id":"2410.03918","title":"STONE: A Submodular Optimization Framework for Active 3D Object Detection","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2310.10391","title":"Open-CRB: Towards Open World Active Learning for 3D Object Detection","created":"2023-10-16","cited_by_count":0,"area":null},{"id":"2410.08972","title":"ALVIN: Active Learning Via INterpolation","created":"2024-10-11","cited_by_count":0,"area":null},{"id":"2503.05969","title":"Dependency-aware Maximum Likelihood Estimation for Active Learning","created":"2025-03-07","cited_by_count":0,"area":null},{"id":"2505.00507","title":"HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection","created":"2025-05-01","cited_by_count":0,"area":null},{"id":"2507.17359","title":"Exploring Active Learning for Semiconductor Defect Segmentation","created":"2025-07-23","cited_by_count":0,"area":null},{"id":"2602.19578","title":"Goal-Oriented Influence-Maximizing Data Acquisition for Learning and Optimization","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2605.22169","title":"Balancing Uncertainty and Diversity of Samples: Leveraging Diversity of Least, High Confidence Samples for Effective Active Learning","created":"2026-05-21","cited_by_count":0,"area":null}],"next_cursor":null}