{"total":22,"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":"2202.01402","title":"GALAXY: Graph-based Active Learning at the Extreme","created":"2022-02-03","cited_by_count":29,"area":null},{"id":"2306.09910","title":"LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning","created":"2023-06-16","cited_by_count":20,"area":null},{"id":"2107.10314","title":"Small-Text: Active Learning for Text Classification in Python","created":"2021-07-21","cited_by_count":19,"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":"2308.02752","title":"DeDrift: Robust Similarity Search under Content Drift","created":"2023-08-05","cited_by_count":11,"area":null},{"id":"2302.12948","title":"Agile Modeling: From Concept to Classifier in Minutes","created":"2023-02-25","cited_by_count":8,"area":null},{"id":"2305.06408","title":"Accelerating Batch Active Learning Using Continual Learning Techniques","created":"2023-05-10","cited_by_count":8,"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":"2410.08000","title":"AHA: Human-Assisted Out-of-Distribution Generalization and Detection","created":"2024-10-10","cited_by_count":7,"area":null},{"id":"2311.11293","title":"From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web","created":"2023-11-19","cited_by_count":5,"area":null},{"id":"2404.05623","title":"AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets","created":"2024-04-08","cited_by_count":5,"area":null},{"id":"2411.06353","title":"Deep Active Learning in the Open World","created":"2024-11-10","cited_by_count":5,"area":null},{"id":"2407.21454","title":"StreetSurfaceVis: a dataset of crowdsourced street-level imagery annotated by road surface type and quality","created":"2024-07-31","cited_by_count":4,"area":null},{"id":"2504.21211","title":"A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces","created":"2025-04-29","cited_by_count":3,"area":null},{"id":"2402.15441","title":"Active Few-Shot Fine-Tuning","created":"2024-02-13","cited_by_count":2,"area":null},{"id":"2412.17684","title":"COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation","created":"2024-12-23","cited_by_count":2,"area":null},{"id":"2111.14426","title":"Improving traffic sign recognition by active search","created":"2021-11-29","cited_by_count":0,"area":null},{"id":"2301.11322","title":"Semi-Automated Construction of Food Composition Knowledge Base","created":"2023-01-24","cited_by_count":0,"area":null},{"id":"2410.20041","title":"Sparse Linear Bandits with Blocking Constraints","created":"2024-10-26","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":"2607.25276","title":"FunnelAL: Retrieve-then-Rank Active Learning for Single-Class Discovery","created":"2026-07-28","cited_by_count":0,"area":null}],"next_cursor":null}