A Survey of Deep Active Learning

Cited by (1,006)

Items 401–500 of 1,006

1. Annotating neurophysiologic data at scale with optimized human input
   Zhongchuan Xu, Brittany H. Scheid, Erin C. Conrad, Kathryn A. Davis, Taneeta Mindy Ganguly, Michael A. Gelfand, James J. Gugger, Xiangyu Jiang, Joshua J. LaRocque, William K.S. Ojemann et al. · 2025 · Journal of Neural Engineering
2. Deep anomaly detection of temporal heterogeneous data in AIOps: a survey
   Jiayi Gui, Zhenyu Ma, Hao Zhou, Yan Su, Miaoru Zhang, Ke Yu, Xiaofei Wu · 2025 · Frontiers of Information Technology & Electronic Engineering
3. Reciprocal learning in human–machine collaboration: a systematic literature review and implications for production and logistics
   Steffen Nixdorf, Minqi Zhang, Eric H. Grosse, Fazel Ansari · 2025 · International Journal of Production Research
4. A Lightweight Cross-Domain Authentication Protocol for Trusted Access to Industrial Internet
   Tiantian Zhang, Zhiyong Zhang, Kejing Zhao, Brij Bhooshan Gupta, Varsha Arya · 2023 · International Journal on Semantic Web and Information Systems
5. Trends and hotspots in research on medical images with deep learning: a bibliometric analysis from 2013 to 2023
   Borui Chen, Jing Jin, Haichao Liu, Zhengyu Yang, Haoming Zhu, Yu Wang, Jianping Lin, Shizhong Wang, Shaoqing Chen · 2023 · Frontiers in Artificial Intelligence
6. Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation
   Massimo Guarascio, Marco Minici, Francesco Sergio Pisani, Erika De Francesco, Pasquale Lambardi · 2024 · Journal of Intelligent Information Systems
7. Integration of blockchain and machine learning for safe and efficient autonomous car systems: A survey
   Hussam Alkashto, Abdullah Elewi · 2024 · Turkish Journal of Engineering
8. Artificial intelligence and design of experiments for resource adequacy assessment in power systems
   Jan Priesmann, J. Münch, Marius Tillmanns, E. Ridha, T. Spiegel, Marius Reich, Mario Adam, L. Nolting, Aaron Praktiknjo · 2024 · Energy Strategy Reviews
9. Safe contact-based robot active search using Bayesian optimization and control barrier functions
   Frederik Vinter-Hviid, Christoffer Sloth, Thiusius Rajeeth Savarimuthu, Iñigo Iturrate · 2024 · Frontiers in Robotics and AI
10. Towards sparse sensor annotations: Uncertainty-based active transfer learning for airfoil flow field prediction
    Yunyang Zhang, Xiaohu Zheng, Zhiqiang GONG, Wen Yao, Xiaoyu Zhao · 2024 · Chinese Journal of Aeronautics
11. Active learning based on multi-enhanced views for classification of multiple patterns in lung ultrasound images
    Yuanlu Ni, Yang Cong, Chengqian Zhao, Jinhua Yu, Yin Wang, Guohui Zhou, Mengjun Shen · 2024 · Computerized Medical Imaging and Graphics
12. Automatic Bounding Box Annotation with Small Training Datasets for Industrial Manufacturing
    Manuela Geiß, Raphael Wagner, Martin Baresch, Josef Steiner, Michael Zwick · 2023 · Micromachines
13. Semi-Supervised Active Learning for Anomaly Detection in Aviation
    Milad Memarzadeh, Bryan L. Matthews, Thomas Templin, Aida Sharif Rohani, Daniel Weckler · 2023 · Journal of Aerospace Information Systems
14. The Web Can Be Your Oyster for Improving Language Models
    Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jingyuan Wang, Jian‐Yun Nie, Ji-Rong Wen · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
15. Context-adaptable radar-based people counting via few-shot learning
    Gianfranco Mauro, Ignacio Martinez-Rodriguez, Julius Ott, Lorenzo Servadei, Robert Wille, Manuel Pegalájar Cuéllar, Diego Pedro Morales · 2023 · Applied Intelligence
16. Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks
    Marcel P. Schilling, Luca Rettenberger, Friedrich Rieken Münke, Haijun Cui, Anna A. Popova, Pavel A. Levkin, Ralf Mikut, Markus Reischl · 2021 · Workshop Computational Intelligence
17. Active Learning for Efficient Soil Monitoring in Large Terrain with Heterogeneous Sensor Network
    Hui Chen, Ju Wang · 2023 · Sensors
18. Diversity Subsampling: Custom Subsamples from Large Data Sets
    Boyang Shang, Daniel W. Apley, Sanjay Mehrotra · 2023 · INFORMS Journal on Data Science
19. Active Sampling: A Machine-Learning-Assisted Framework for Finite Population Inference with Optimal Subsamples
    Henrik Imberg, Xiaomi Yang, Carol A. C. Flannagan, Jonas Bärgman · 2024 · Technometrics
20. A unified active learning framework for annotating graph data for regression tasks
    Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani · 2024 · Engineering Applications of Artificial Intelligence
21. High-precision 3D reconstruction of terahertz computed tomography under extremely sparse view
    Jiazhen Dou, Jiongshen Fang, Wenjun Jiang, Jianglei Di, Yuwen Qin · 2024 · Optics and Lasers in Engineering
22. Classroom Management
    Mustafa Kayyali · 2025 · IGI Global eBooks
23. Human vs. Automated data annotation: Labeling the data set for an ML-driven support ticket classifier
    Simon Fuchs, Janik Schnellbach, Holger Wittges, Helmut Krcmar · 2025 · Data & Knowledge Engineering
24. Self-directed machine learning
    Wenwu Zhu, Xin Yue Wang, Pengtao Xie · 2022 · AI Open
25. Adapting Data-Driven Techniques to Improve Surrogate Machine Learning Model Performance
    Huw Rhys Jones, Andrei Cristian Popescu, Yusuf Sulehman, Tingting Mu · 2023 · IEEE Access
26. Towards Balanced Active Learning for Multimodal Classification
    Meng Shen, Yizheng Huang, Jianxiong Yin, Heqing Zou, Deepu Rajan, Simon Chong Wee See · 2023 · ACM International Conference on Multimedia (ACM MM)
27. On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach
    Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Na Wei, Dong Wang · 2023 · International Joint Conference on Artificial Intelligence
28. A blood cell classification method based on MAE and active learning
    Qinghang Lu, Bangyao Wang, Quanhui He, Qingmao Zhang, Liang Guo, Jiaming Li, Jie Li, Qiongxiong Ma · 2023 · Biomedical Signal Processing and Control
29. Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation
    Shuang Li, Rui Zhang, Kaixiong Gong, Mixue Xie, Wenxuan Ma, Guangyu Gao · 2023 · IEEE Transactions on Neural Networks and Learning Systems
30. Multichannel semi-supervised active learning for PolSAR image classification
    Wenqiang Hua, Yurong Zhang, Hongying Liu, Wen Xie, Xiaomin Jin · 2024 · International Journal of Applied Earth Observation and Geoinformation
31. Subseasonal Prediction of Summer Temperature in West Africa Using Artificial Intelligence: A Case Study of Senegal
    Annine Duclaire Kenne, Mory Touré, Lema Logamou Seknewna, Hervé Landry Ketsemen · 2024 · International Journal of Intelligent Systems
32. Active Learning Strategy Using Contrastive Learning and K-means for Aquatic Invasive Species Recognition
    Shaif Chowdhury, Greg Hamerly, Monica E. McGarrity · 2024 · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
33. Interactive Singing Melody Extraction Based on Active Adaptation
    Kavya Ranjan Saxena, Vipul Arora · 2024 · IEEE/ACM Transactions on Audio Speech and Language Processing
34. BUNNI: Learning Repair Actions in Rule-driven Data Cleaning
    Giansalvatore Mecca, Paolo Papotti, Donatello Santoro, Enzo Veltri · 2024 · Journal of Data and Information Quality
35. Deep Active Audio Feature Learning in Resource-Constrained Environments
    Md Mohaimenuzzaman, Christoph Bergmeir, Bernd E. Meyer · 2024 · IEEE/ACM Transactions on Audio Speech and Language Processing
36. Improving the Identification of Diabetic Retinopathy and Related Conditions in the Electronic Health Record Using Natural Language Processing Methods
    Keith Harrigian, Diep Tran, Tina Tang, Anthony Gonzales, Paul G. Nagy, Hadi H.K. Kharrazi, Mark H. Dredze, Cindy Xinji Cai · 2024 · Ophthalmology Science
37. Kilonova Seekers: the GOTO project for real-time citizen science in time-domain astrophysics
    Thomas L. Killestein, L Kelsey, E. G. Wickens, Laura K. Nuttall, J. D. Lyman, Coleman Krawczyk, K. Ackley, Martin J. Dyer, F. Jiménez-Ibarra, Krzysztof Ulaczyk et al. · 2024 · Monthly Notices of the Royal Astronomical Society
38. Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression
    Nathan Haut, Wolfgang Banzhaf, Bill Punch · 2024 · IEEE Transactions on Evolutionary Computation
39. Domain Adversarial Active Learning for Domain Generalization Classification
    Jian-Ting Chen, Ling Ding, Yunxiao Yang, Zaiyuan Di, Yang Xiang · 2024 · IEEE Transactions on Knowledge and Data Engineering
40. Valuing Training Data via Causal Inference for In-Context Learning
    Xiao-Ling Zhou, Wei Ye, Zhemg Lee, Lei Zou, Shi-Kun Zhang · 2025 · IEEE Transactions on Knowledge and Data Engineering
41. Open-world active learning for echocardiography view classification
    Ghada Zamzmi, Tochi Oguguo, Sivaramakrishnan Rajaraman, Sameer Antani · 2022 · SPIE Medical Imaging: Computer-Aided Diagnosis
42. Active Instance Selection for Few-Shot Classification
    Junsup Shin, Youngwook Kang, Seungjin Jung, Jongwon Choi · 2022 · IEEE Access
43. Online Active Continual Learning for Robotic Lifelong Object Recognition
    Xiangli Nie, Zhiguang Deng, Mingdong He, Mingyu Fan, Zheng Sophia Tang · 2023 · IEEE Transactions on Neural Networks and Learning Systems
44. Preemptively pruning Clever-Hans strategies in deep neural networks
    Lorenz Linhardt, Klaus‐Robert Müller, Grégoire Montavon · 2023 · Information Fusion
45. Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture
    Bingsheng Yao, Ishan Jindal, Lucian Constantin Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James Hendler et al. · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
46. EnCoDe: Enhancing Compressed Deep Learning Models Through Feature - - - Distillation and Informative Sample Selection
    Rebati Raman Gaire, Sepehr Tabrizchi, Arman Roohi · 2023 · International Conference on Machine Learning and Applications
47. Vision transformers are active learners for image copy detection
    Zhentao Tan, W. Wang, Caifeng Shan · 2024 · Neurocomputing
48. Enabling Predictive Maintenance Using Machine Learning in Industrial Machines With Sensor Data
    Adelina Zian Andriani, Nani Kurniati, Budi Santosa · 2021 · International Conference on Industrial Engineering and Operations Management (IEOM)
49. WISE: Efficient WSI selection for active learning in histopathology
    Hyeongu Kang, Mujin Kim, Young Sin Ko, Yesung Cho, Mun Yong Yi · 2024 · Computerized Medical Imaging and Graphics
50. A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Media
    Dung Nguyen, Anh Thi Hoang Nguyen, Kiet Van Nguyen · 2025 · Cognitive Computation
51. Bayesian Active Learning-Based Soft Data Space Calibration for System-Wise Aggregate Flexibility Characterization
    Shengyi Wang, Liang Du, Xin Chen · 2025 · IEEE Transactions on Smart Grid
52. DSAM: Dual-Strategy Simulation Acceleration-Based Model for Uncrewed Ground Vehicle Mobility Prediction
    Chen Hua, Yuliang Wei, Chunmao Jiang, Runxin Niu · 2025 · IEEE Transactions on Vehicular Technology
53. Prototype-Guided Class-Balanced Active Domain Adaptation for Hyperspectral Image Classification
    Haiyang Luo, Shengwei Zhong, Chen Gong · 2025 · IEEE Transactions on Geoscience and Remote Sensing
54. Scalable multi-label patent classification via iterative large language model-assisted active learning
    Songquan Xiong, Shikun Chen, Jianwei He, Yangguang Liu, Junjie Mao, Chao Liu · 2025 · World Patent Information
55. A Crowd–AI Collaborative Approach to Address Demographic Bias for Student Performance Prediction in Online Education
    Ruohan Zong, Yang Zhang, Frank Stinar, Lanyu Shang, Huimin Zeng, Nigel Bosch, Dong Wang · 2023 · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing
56. The Battleship Approach to the Low Resource Entity Matching Problem
    Bar Genossar, Avigdor Gal, Roee Shraga · 2023 · Proceedings of the ACM on Management of Data
57. A cost focused framework for optimizing collection and annotation of ultrasound datasets
    Alistair Lawley, Rory Hampson, Kevin Worrall, Gordon Dobie · 2024 · Biomedical Signal Processing and Control
58. Cracking black-box models: Revealing hidden machine learning techniques behind their predictions
    Raül Fabra-Boluda, Cèsar Ferri, José Hernández‐Orallo, Marïa José Ramírez-Quintana, Fernando Martínez‐Plumed · 2024 · Intelligent Data Analysis
59. Cognitive diagnostic assessment: A Q-matrix constraint-based neural network method
    Jinhong Tao, Wei Zhao, Yuliu Zhang, Qian Jian Guo, Baocui Min, Xiaoqing Xu, Fengjuan Liu · 2024 · Behavior Research Methods
60. Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing
    Tommaso Benciolini, Chen Tang, Marion Leibold, Catherine Weaver, Masayoshi Tomizuka, Wei Zhan · 2024 · IEEE Transactions on Control Systems Technology
61. Mapping high entropy state spaces for novel material discovery
    Johnathan von der Heyde, Walter Malone, Abdelkader Kara · 2024 · Acta Materialia
62. Automatic segmentation of deep endometriosis in the rectosigmoid using deep learning
    Weslley Kelson Ribeiro Figueredo, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Alice Lima de Sousa Brandão, Marco Aurélio Pinho Oliveira · 2024 · Image and Vision Computing
63. Deep active learning for multi label text classification
    Qunbo Wang, Hangu Zhang, Wentao Zhang, Lin Dai, Yu Liang, Haobin Shi · 2024 · Scientific Reports
64. Deep mining the textual gold in relation extraction
    Tanvi Sharma, Frank Emmert‐Streib · 2024 · Artificial Intelligence Review
65. Active Supervised Cross-Modal Retrieval
    Huaiwen Zhang, Yang Yang, Fan Qi, Shengsheng Qian, Changsheng Xu · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
66. Deep Active Transfer Learning for Cross-Domain Fault Diagnosis With Limited Samples
    Chao Chen, Heng Lu, Hui Wang, Li Zhang, Wei Fan · 2025 · IEEE Transactions on Instrumentation and Measurement
67. Deep transfer learning-based decoder calibration for intracortical brain-machine interfaces
    Xiao Li, Xianxin Dong, Jun Wang, Haodong Mao, Xikai Tu, Wei Li, Jiping He, Qiang Li, Peng Zhang · 2025 · Computers in Biology and Medicine
68. Distributed Active Learning for Semantic Segmentation on Walking Robots
    Lennart Puck, N. Spielbauer, D. Schable, Tristan Schnell, T. Buttner, Arne Roennau, Rüdiger Dillmann · 2021 · International Conference on Advanced Robotics (ICAR)
69. A Generic Semi-Supervised and Active Learning Framework for Biomedical Text Classification
    Christopher A. Flores, Rodrigo Verschae · 2022 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
70. Compound fault diagnosis for cooling dehumidifier based on RBF neural network improved by kernel principle component analysis and adaptive genetic algorithm
    Yunguang Gao, Changlin Ma, An Sheng · 2022 · Soft Computing
71. Active learning for data efficient semantic segmentation of canine bones in radiographs
    D. E. Moreira da Silva, Lio Gonçalves, Pedro Franco-Gonçalo, Bruno Colaço, Sofia Alves‐Pimenta, Mário Ginja, Manuel João Ferreira, Vítor Manuel de Jesus Filipe · 2022 · Frontiers in Artificial Intelligence
72. Twitter Bot Identification: An Anomaly Detection Approach
    Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang‐Tien Lu · 2022 · IEEE International Conference on Big Data (BigData)
73. A multi-granularity semisupervised active learning for point cloud semantic segmentation
    Shanding Ye, Zhe Yin, Yongjian Fu, Hu Lin, Zhijie Pan · 2023 · Neural Computing and Applications
74. Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning
    Yukun Cao, Xike Xie, Kexin Huang · 2023 · IEEE International Conference on Data Engineering (ICDE)
75. ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
    Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick · 2023 · Lecture notes in computer science
76. Building a large gene expression-cancer knowledge base with limited human annotations
    Stefano Marchesin, Laura Menotti, Fabio Giachelle, Gianmaria Silvello, Omar Alonso · 2023 · Database
77. FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
    Ricky Maulana Fajri, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy · 2023 · Expert Systems with Applications
78. Enhancing Semantic Segmentation through Reinforced Active Learning: Combating Dataset Imbalances and Bolstering Annotation Efficiency
    Dong Han, Huong Pham, Samuel Cheng · 2023 · Journal of Electronic & Information Systems
79. Enhancing Pest Detection Models Through Improved Annotations
    Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro · 2023 · Lecture notes in computer science
80. Data- & compute-efficient deviance mining via active learning and fast ensembles
    Francesco Folino, Gianluigi Folino A, Massimo Guarascio, Luigi Pontieri · 2024 · Journal of Intelligent Information Systems
81. Utilizing active learning strategies in machine-assisted annotation for clinical named entity recognition: a comprehensive analysis considering annotation costs and target effectiveness
    Jiaxing Liu, Zoie Shui-Yee Wong · 2024 · Journal of the American Medical Informatics Association
82. GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation Using Bayesian Learning
    Marco Skocaj, Lorenzo Mario Amorosa, Michele Lombardi, Roberto Verdone · 2024 · IEEE Transactions on Mobile Computing
83. Annotation-Efficient Cell Counting
    Zuhui Wang, Zhaozheng Yin · 2021 · Lecture notes in computer science
84. You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
    Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet, Vincent Lepetit · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
85. Uncertainty-Aware Online Learning of Dynamic Thermal Control in Data Center with Imperfect Pretrained Models
    Qingang Zhang, Chin-Boon Chng, Chee‐Kong Chui, Poh Seng Lee · 2024 · Expert Systems with Applications
86. Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation
    Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang · 2024 · Lecture notes in computer science
87. Data-Efficient Synchronous Machine Winding Short-Circuit Faults Diagnosis Based on Frequency Response Analysis and Active Learning
    Yu Chen, Zhongyong Zhao, Jiangnan Liu, Wei Wang, Chenguo Yao · 2025 · IEEE Sensors Journal
88. Multi-objective optimization of the laser powder-bed fusion process of 17–4 PH stainless steel: Balancing quality and processing rate
    Chunfeng Ding, Andrew Kennedy, Yuze Huang · 2025 · Optics & Laser Technology
89. A comprehensive multi-source uncertainty quantification method for RANS-CFD based on sparse multi-task deep active learning
    Fenfen Xiong, Bomin Wang, Chao Li, Jianhua Yin, Haoyu Wang · 2025 · Aerospace Science and Technology
90. Machine Learning‐Based Seismic Subsurface Characterization: The State of the Art and Future Perspectives
    Minghui Xu, Luanxiao Zhao, Mingliang Liu, Jianhua Geng · 2025 · Journal of Geophysical Research Machine Learning and Computation
91. Deep surrogates for finance: With an application to option pricing
    Hui Chen, Antoine Didisheim, Simon Scheidegger · 2026 · Journal of Financial Economics
92. Context-Aware Masking and Learnable Diffusion-Guided Patch Refinement in Transformers via Sparse Supervision for Hyperspectral Image Classification
    Abhiroop Chatterjee, Susmita Ghosh, Ashish Kumar Ghosh · 2025 · IEEE International Conference on Computer Vision Workshops
93. Active learning with label quality control
    Xingyu Wang, Xurong Chi, Yanzhi Song, Zhouwang Yang · 2023 · PeerJ Computer Science
94. VisActive: Visual-concept-based Active Learning for Image Classification under Class Imbalance
    Mohammed Khaleel, Azeez Idris, Wallapak Tavanapong, Jacob Pratt, JungHwan Oh, Piet C. de Groen · 2023 · ACM Transactions on Multimedia Computing Communications and Applications
95. Artificial Intelligence for Impact Assessment of Administrative Burdens
    Victor Costa, Pedro Simoes Coelho, Mauro Castelli · 2024 · Emerging Science Journal
96. DADO – Low-Cost Query Strategies for Deep Active Design Optimization
    Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick · 2023 · International Conference on Machine Learning and Applications
97. Assessing User Trust in Active Learning Systems: Insights from Query Policy and Uncertainty Visualization
    Ian Thomas, Song Young Oh, Danielle Albers Szafir · 2024 · ACM International Conference on Intelligent User Interfaces (IUI)
98. Accelerating deep neural network learning using data stream methodology
    Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski · 2024 · Information Sciences
99. A weakly supervised active learning framework for non-intrusive load monitoring
    Giulia Tanoni, Tamara Sobot, Emanuele Principi, Vladimir Stanković, Lina Stanković, Stefano Squartini · 2024 · Integrated Computer-Aided Engineering
100. Metaheuristics-guided active learning for optimizing reaction conditions of high-performance methane conversion
     Gyoung S. Na, Hyun Woo Kim · 2024 · Applied Soft Computing