A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

Cited by (722)

Items 201–300 of 722

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9. A novel meta-learning-based spatio-temporal modeling approach for thermal error prediction of multiple machine tools with few labeled data
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13. OCT Retinopathy Classification via a Semi-Supervised Pseudo-Label Sub-Domain Adaptation and Fine-Tuning Method
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15. Industrial vision inspection using digital twins: bridging CAD models and realistic scenarios
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16. An in-Depth Investigation Into the Performance of State-of-the-Art Zero-Shot, Single-Shot, and Few-Shot Learning Approaches on an Out-of-Distribution Zero-Day Malware Attack Detection
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17. Few-Shot Learning Augmented with Image Transformation for Multiclass Structural Damage Classification
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18. Large Language Models as Few-Shot Defect Detectors for Additive Manufacturing
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19. A Domain Adaptation Meta Learning Method With Multilayer Convolutional Attention for Cross-Domain Bearing Fault Diagnosis
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20. AdptGL-CA: Adaptive Global-Local Metric Fusion With Contrastive Attention for Few-Shot Learning
    Zhiying Song, Pengfei Wang, Xiaokang Wang, Nenggan Zheng · 2025 · IEEE Transactions on Emerging Topics in Computational Intelligence
21. MalFSLDF: A Few‐Shot Learning‐Based Malware Family Detection Framework
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22. Few-Shot Multimodal Explanation for Visual Question Answering
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23. Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning
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24. Multi-Feature Unsupervised Domain Adaptation (M-FUDA) Applied to Cross Unaligned Domain-Specific Distributions in Device-Free Human Activity Classification
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25. Improved Few‐Shot Object Detection Method Based on Faster R‐CNN
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26. Negotiation Backtable Bots: Using GenAI to Improve Multiparty Negotiation Instruction
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27. Automated Data Harmonization in Clinical Research: Natural Language Processing Approach
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28. HIA-Net: Hierarchical Interactive Alignment Network for Multimodal Few-Shot Emotion Recognition
    Yuankang Fu, Kaixiang Yang, Song Min Sun, Xinrong Gong, Huanqiang Zeng · 2025 · IEEE Signal Processing Letters
29. Deep learning-based inverse design of broadband metasurface polarization converter
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30. CEGNN: Contrastive edge labeling graph neural network for sensor drift adaptation in electronic noses
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31. Leveraging synthetic data for zero–shot and few–shot circle detection in real–world domains
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32. Momentum-Enhanced Dual-Prototype Learning Framework for Robust Few-Shot Hyperspectral Image Classification
    Hanchi Liu, Jinrong He, Xiangqing Zhang, Zhaokui Li · 2025 · IEEE Transactions on Geoscience and Remote Sensing
33. Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling
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34. Beyond Aggregate Feedback: A Spatially-Aware Computational Framework for Understanding Citizen-State Interaction on Social Media
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35. Leveraging large language models to explain provincial heterogeneity in online discussion of water pollution in China: A socioeconomic and environmental perspective
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36. From physics to machine learning and back: Part II - Learning and observational bias in prognostics and health management (PHM)
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37. Towards an in-Depth Evaluation of the Performance, Suitability and Plausibility of Few-Shot Meta Transfer Learning on An Unknown Out-of-Distribution Cyber-attack Detection
    Tosin Ige, Christopher D. Kiekintveld, Aritran Piplai, Amy E. Wagler, Olukunle Kolade, Bolanle Hafiz Matti · 2024 · International Symposium on Networks, Computers and Communications (ISNCC)
38. An Adaptive Dual-channel Multi-modal graph neural network for few-shot learning
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39. Waveshift Augmentation: A Physics-Driven Strategy in Fine-Grained Plant Disease Classification
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40. Enhancing Few-Shot SAR Ship Recognition: Pseudospectrum Information Generation and Fusion
    Gui Gao, WenXi Liu, Xi Zhang · 2025 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
41. PGSMC: Prototype-Guided Supervised Momentum Contrastive Learning for Hyperspectral Cross-Domain Few-Shot Classification
    Lingyu Kong, Xudong Sun, Zifei Zhao, Jiahua Zhang, Xiaodi Shang · 2025 · IEEE Transactions on Geoscience and Remote Sensing
42. DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters
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43. Generative LLMs in Organic Chemistry: Transforming Esterification Reactions into Natural Language Procedures
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44. Few-shot regression with differentiable reference model
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45. Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention
    Yingyu Chen, Jun-Wei Hsieh, Xin Li, Ming‐Ching Chang · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
46. Explicit Margin Equilibrium for Few-Shot Object Detection
    Chang Liu, Bohao Li, Mengnan Shi, Xiaozhong Chen, Qixiang Ye, Xiangyang Ji · 2024 · IEEE Transactions on Neural Networks and Learning Systems
47. MyriadAL: Active Few Shot Learning for Histopathology
    Nico Schiavone, Jingyi Wang, Shuangzhi Li, Roger J. Zemp, Xingyu Li · 2024 · IEEE Conference on Artificial Intelligence (CAI)
48. AugmenToxic: Leveraging Reinforcement Learning to Optimize LLM Instruction Fine-Tuning for Data Augmentation to Enhance Toxicity Detection
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49. Artificial intelligence and its potential integration with the clinical practice of diagnostic imaging medical physicists: a review
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50. RHEA: Residential Home Energy Advisor
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51. Experimental Evaluation of Parameter-Efficient Fine-Tuning for Software Engineering Tasks
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52. Knowledge-augmented encoder for few-shot deep intent recognition in air traffic control
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53. Intention-Based GUI Test Migration for Mobile Apps using Large Language Models
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54. Edge-supervised convolutional neural network for histopathological classification of oral cancer images
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55. Few-Shot Relation Extraction Based on Prompt Learning: A Taxonomy, Survey, Challenges and Future Directions
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56. Semi-supervised few-shot learning using Critical-Descriptor Prototypes
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57. Interactive triplet attention for few-shot fine-grained image classification
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58. Few-Shot Recognition Method of MFR Operation Modes via Graph-Based Transductive Prototype Propagation Network
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59. Envisioning the Future of Machine Learning in the Early Detection of Neurodevelopmental and Neurodegenerative Disorders via Speech and Language Biomarkers
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60. Developing distance-based genetic programming classifiers by reconstructing datasets for imbalanced binary classification
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61. Boosting Learning Efficiency in Few-Shot Tasks With Layer-Adaptive PID Control
    Pengfei Zhang, Xinde Li, Le Yu, Zhentong Zhang, Fir Dunkin, H. Liu, Zhijun Li · 2026 · IEEE Transactions on Pattern Analysis and Machine Intelligence
62. Prism-OBI: a novel framework for oracle bone inscription recognition via visual perception and feature decoupling
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63. Large Language Models for Sexual, Reproductive, and Maternal Health Rights*
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64. Empirical Evidence Regarding Few-Shot Learning for Scene Classification in Remote Sensing Images
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65. Transferable Convolutional Neural Networks for IMU-based Motion Gesture Recognition in Human-Machine Interaction
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66. Cross-Domain Few-Shot Specific Emitter Identification via Contrastive Self-Supervised Learning
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67. Safe4U: Identifying Unsound Safe Encapsulations of Unsafe Calls in Rust using LLMs
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68. Efficient One-Shot Gesture Recognition for WiFi ISAC via Aug-Meta Learning
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69. TAC-ECG: A task-adaptive classification method for electrocardiogram based on cross-modal contrastive learning and low-rank convolutional adapter
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70. FSF-ViT: Image augmentation and adaptive global-local feature fusion for Few-Shot Food classification.
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71. A review on the effectiveness of recent approaches to few-shot learning for image analysis
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72. Personalization in Human-Robot Interaction Through Preference-Based Action Representation Learning
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75. Understanding Sentiment Polarities and Emotion Categories of People on Public Incidents With the Relation to Government Policies
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76. Methodological approaches in developing and implementing digital health interventions amongst underserved women
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77. COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain Adaptation
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78. Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
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79. DSMF-Net: Dual Semantic Metric Learning Fusion Network for Few-Shot Aerial Image Semantic Segmentation
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80. A Few-Shot Knowledge Graph Completion Model With Neighbor Filter and Affine Attention
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81. FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image
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82. Few-Shot Segmentation of 3D Point Clouds Under Real-World Distributional Shifts in Railroad Infrastructure
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83. Enhancing Vision-Language Few-Shot Adaptation with Negative Learning
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84. Automated Approaches to Screening Developmental Language Disorder: A Comprehensive Review and Future Prospects
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85. Exploring Foundation Models Fine-Tuning for Cytology Classification
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86. A survey of Few-Shot Relation Extraction combining meta-learning with prompt learning
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87. Multilingual Low-Latency Emergency VoIP System Using LLM for Speech Reconstruction and Blockchain for Secure Data Archiving
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88. Enhancing Few-Shot Learning in Lightweight Models via Dual-Faceted Knowledge Distillation
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89. A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects
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91. A few-shot detection method for new types of network traffic attacks based on meta-learning with cross-attention
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92. BrainAdaptNet: A few-shot learning model for brain tumor segmentation in low-quality MRI
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93. Fine-Grained Transductive Prototypical Network-Based Few-Shot Signal Modulation Classification Using Coarse Labels
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94. Fine-grained image classification using the MogaNet network and a multi-level gating mechanism
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95. Knowledge-guided distribution alignment for cross-domain few-shot learning
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96. Few-shot learning and explainable AI for colon cancer histopathology: A prototypical network with multi-technique interpretability
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97. A Graph RAG Approach to Enhance Explainability in Dataset Discovery
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98. Multi-temporal ensemble for few-shot action recognition
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99. A comprehensive review of traffic flow prediction: from traditional models to deep learning architectures
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100. A section-adapted intelligent warning method for strain rockbursts in open TBM tunnels
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