A Survey of Deep Active Learning

Deep Residual Learning for Image Recognition

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A fast learning algorithm for deep belief nets

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Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

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VQA: Visual Question Answering

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A theory of learning from different domains

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Pedestrian Detection: An Evaluation of the State of the Art

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Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state

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An algorithm for quadratic programming

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Activity recognition using cell phone accelerometers

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The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

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Proceedings of the 23rd international conference on Machine learning

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Comprehensive database for facial expression analysis

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Query by committee

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Queries and Concept Learning

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A Dataset for Breast Cancer Histopathological Image Classification

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Proceedings for the 5th International Conference on Learning Representations

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"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection

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Bag of Tricks for Image Classification with Convolutional Neural Networks

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Proceedings of the British Machine Vision Conference 2014

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wav2vec: Unsupervised Pre-Training for Speech Recognition

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Serial Order: A Parallel Distributed Processing Approach

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Speech Recognition Using Deep Neural Networks: A Systematic Review

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On Learning, Representing, and Generalizing a Task in a Humanoid Robot

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CityPersons: A Diverse Dataset for Pedestrian Detection

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MARS: A Video Benchmark for Large-Scale Person Re-Identification

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Person Re-identification by Descriptive and Discriminative Classification

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NCBI Disease Corpus: A Resource for Disease Name Recognition and Concept Normalization

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Less is more: Sampling chemical space with active learning

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A Comprehensive Survey of Neural Architecture Search

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Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

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Proceedings of the 28th International Conference on Neural Information Processing Systems

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Learning Loss for Active Learning

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A tutorial survey of architectures, algorithms, and applications for deep learning

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Proceedings of the 2003 conference on Empirical methods in natural language processing -

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Smart Devices are Different: Assessing and MitigatingMobile Sensing Heterogeneities for Activity Recognition

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Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom

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Cost-Effective Active Learning for Deep Image Classification

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Deep learning approach for active classification of electrocardiogram signals

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Fundus Image Classification Using VGG-19 Architecture with PCA and SVD

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A survey on active learning and human-in-the-loop deep learning for medical image analysis

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Multi-class active learning for image classification

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Variational Adversarial Active Learning

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Deep Learning for Entity Matching

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Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs

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Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna

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Leveraging uncertainty information from deep neural networks for disease detection

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Bayesian Active Learning for Classification and Preference Learning

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Assessing the Quality of Activities in a Smart Environment

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Massively Multilingual Neural Machine Translation

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Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning

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Deep Active Learning for Named Entity Recognition

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Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

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Rumor Detection over Varying Time Windows

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Capsule Networks for Hyperspectral Image Classification

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Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech from Existing Podcast Recordings

Lotfian, R., & Busso, C. (2017) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2736999 · Cited by 330 · see citing works

A new active labeling method for deep learning

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Competence-based Curriculum Learning for Neural Machine Translation

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Active Deep Learning for Classification of Hyperspectral Images

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Facility Location

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Algorithms for optimal scheduling and management of hidden Markov model sensors

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Learning how to Active Learn: A Deep Reinforcement Learning Approach

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Two faces of active learning

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Multimodal emotion recognition using deep learning architectures

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Proceedings of the 20th International Conference on Neural Information Processing Systems

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SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning

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Automated categorization in the international patent classification

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Proceedings of the 23rd International Conference on Computational Linguistics: Posters

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A patent search and classification system

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Active learning: theory and applications

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Agnostic active learning

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Active Transfer Learning Network: A Unified Deep Joint Spectral–Spatial Feature Learning Model for Hyperspectral Image Classification

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Deep Learning for Imbalanced Multimedia Data Classification

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Active learning for large multi-class problems

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Active Learning for Deep Detection Neural Networks

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Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning

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Low-resource Deep Entity Resolution with Transfer and Active Learning

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Multilingual Neural Machine Translation with Language Clustering

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Entity matching

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Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification

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A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews

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Biometric Person Recognition: Face, Speech and Fusion

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Semi-supervised clinical text classification with Laplacian SVMs: An application to cancer case management

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Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking

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Active learning based news veracity detection with feature weighting and deep-shallow fusion

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Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector

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Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancer

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Deep active learning for image classification

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Mind reading machines: automated inference of cognitive mental states from video

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Automated Scalable Bayesian Inference via Hilbert CoresetsPreprint

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MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis

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Leveraging Crowdsourcing Data for Deep Active Learning An Application

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Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy

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Deep Active Learning for Anchor User Prediction

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Nodule-Plus R-CNN and Deep Self-Paced Active Learning for 3D Instance Segmentation of Pulmonary Nodules

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Breast Cancer Histopathological Image Classification via Deep Active Learning and Confidence Boosting

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Efficient Imbalanced Multimedia Concept Retrieval by Deep Learning on Spark Clusters

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Dynamic motion learning for multi-DOF flexible-joint robots using active–passive motor babbling through deep learning

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A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience

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Active Learning for Neural Machine Translation

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Deeply Supervised Active Learning for Finger Bones Segmentation

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Building an Active Palmprint Recognition System

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Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network

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Identifying infrastructure damage during earthquake using deep active learning

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CellECT: cell evolution capturing tool

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Deep Active Learning Through Cognitive Information Parcels

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Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review

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Data-centric Artificial Intelligence: A Survey

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Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review

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Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects

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A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic

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A Survey on Deep Active Learning: Recent Advances and New Frontiers

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Data-centric AI: Perspectives and Challenges

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Data-Driven Design of Polymer-Based Biomaterials: High-throughput Simulation, Experimentation, and Machine Learning

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Efficient Methods for Natural Language Processing: A Survey

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Alert Fatigue in Security Operations Centres: Research Challenges and Opportunities

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Advancing Manufacturing Through Artificial Intelligence: Current Landscape, Perspectives, Best Practices, Challenges, and Future Direction

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Edge Intelligence: A Review of Deep Neural Network Inference in Resource-Limited Environments

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Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis

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Evaluation and Comparative Analysis of Semantic Web-Based Strategies for Enhancing Educational System Development

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CoNeRF: Controllable Neural Radiance Fields

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Data-Centric Green Artificial Intelligence: A Survey

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UD_BBC: Named entity recognition in social network combined BERT-BiLSTM-CRF with active learning

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Label-efficient learning in agriculture: A comprehensive review

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Active Learning for Network Traffic Classification: A Technical Study

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A Survey of Active Learning for Natural Language Processing

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Integrating active learning and semi-supervised learning for improved data-driven HVAC fault diagnosis performance

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An active learning framework for the low-frequency Non-Intrusive Load Monitoring problem

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A review of deep learning methods for digitisation of complex documents and engineering diagrams

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Machine learning and Bayesian inference in nuclear fusion research: an overview

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Machine learning for CO 2 capture and conversion: A review

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A machine learning-based approach to predict the fatigue life of three-dimensional cracked specimens

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Deep active learning for object detection

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LLMaAA: Making Large Language Models as Active Annotators

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Uncertainty quantification: Can we trust artificial intelligence in drug discovery?

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Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]

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A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science

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Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction

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Influence Selection for Active Learning

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A Survey on Machine Learning Techniques for Source Code AnalysisPreprint

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Bidirectional Active Transfer Learning for Adaptive Power System Stability Assessment and Dominant Instability Mode Identification

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Active learning for medical image segmentation with stochastic batches

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Embracing limited and imperfect training datasets: opportunities and challenges in plant disease recognition using deep learning

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Beyond Playing 20 Questions with Nature: Integrative Experiment Design in the Social and Behavioral SciencesPreprint

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Deep Discrete Cross-Modal Hashing with Multiple Supervision

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One-shot active learning for image segmentation via contrastive learning and diversity-based sampling

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Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control

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Active Clustering Ensemble With Self-Paced Learning

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NeU-NBV: Next Best View Planning Using Uncertainty Estimation in Image-Based Neural Rendering

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A Review of Recent and Emerging Machine Learning Applications for Climate Variability and Weather Phenomena

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Deep learning models for thyroid nodules diagnosis of fine-needle aspiration biopsy: a retrospective, prospective, multicentre study in China

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Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection

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Adaptive deep density approximation for Fokker-Planck equations

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How to mitigate the incident? An effective troubleshooting guide recommendation technique for online service systems

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Deep Active Learning for Computer Vision Tasks: Methodologies, Applications, and Challenges

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Deep active learning models for imbalanced image classification

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One Class One Click: Quasi scene-level weakly supervised point cloud semantic segmentation with active learning

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Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling

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All you need are a few pixels: semantic segmentation with PixelPick

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From Data and Model Levels: Improve the Performance of Few-Shot Malware Classification

Chai, Y., Qiu, J., Yin, L., Zhang, L., Gupta, B. B., & Tian, Z. (2022) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2022.3200866 · Cited by 46 · see citing works

Industrial Foundation Models (IFMs) for intelligent manufacturing: A systematic review

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Smart Flood Detection with AI and Blockchain Integration in Saudi Arabia Using Drones

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A survey on machine learning techniques applied to source code

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A reinforced active learning approach for optimal sampling in aspect term extraction for sentiment analysis

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A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification

Ahmad, M. I., Ghous, U., Hong, D., Khan, A., Yao, J. T., Wang, S., & Chanussot, J. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3209182 · Cited by 42 · see citing works

Personalized explanations for clinician-AI interaction in breast imaging diagnosis by adapting communication to expertise levels

Calisto, F. M., Abrantes, J., Santiago, C., Nunes, N., & Nascimento, J. C. (2025) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2025.103444 · Cited by 40 · see citing works

Warmth trumps competence? Uncovering the influence of multimodal AI anthropomorphic interaction experience on intelligent service evaluation: Insights from the high-evoked automated social presence

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Knowledge distillation and teacher–student learning in medical imaging: Comprehensive overview, pivotal role, and future directions

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Human-in-the-loop reinforcement learning in continuous-action space

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A Survey on Wireless Device-free Human Sensing: Application Scenarios, Current Solutions, and Open Issues

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Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem

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Machine Learning Strategies for Reaction Development: Toward the Low-Data Limit

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When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection

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Robot learning in the era of foundation models: a survey

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FisherRF: Active View Selection and Mapping with Radiance Fields Using Fisher Information

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Efficient Dark Web traffic classification using a hybrid CNN-LSTM model

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A benthic substrate classification method for seabed images using deep learning: Application to management of deep‐sea coral reefs

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Supervised contrastive learning for wafer map pattern classification

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A Survey on Deep Active Learning: Recent Advances and New Frontiers

Li, D., Wang, Z. R., Chen, Y., Jiang, R., Ding, W., & Okumura, M. (2024) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2024.3396463 · Cited by 145 · see citing works

A Comparative Survey of Deep Active LearningPreprint

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A Survey of Deep Active Learning for Foundation Models

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Deep learning based active learning technique for data annotation and improve the overall performance of classification models

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Towards Computationally Feasible Deep Active Learning

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