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

Song, Yisheng, Wang, Ting, Cai, Puyu, Mondal, Subrota K., Sahoo, Jyoti Prakash·2023·ACM Computing Surveys

Cited by (722)

Items 101–200 of 722

  1. A Survey of Large Language Model for Drug Research and Development
    Huijie Guo, Xudong Xing, Yongjie Zhou, Wenjiao Jiang, Xiaoyi Chen, Ting Wang, Zixuan Jiang, Yibing Wang, Junyan Hou, Yukun Jiang et al. · 2025 · IEEE Access
  2. Rapid Adaptation of Chemical Named Entity Recognition Using Few-Shot Learning and LLM Distillation
    Yue Zhang, Dionisios G. Vlachos, Dongxia Liu, Hui Fang · 2025 · Journal of Chemical Information and Modeling
  3. A Comparative Study of Vision Transformer Encoders and Few-shot Learning for Medical Image Classification
    Maxat Nurgazin, Nguyen Anh Tu · 2023 · IEEE International Conference on Computer Vision Workshops
  4. Attribute-guided prototype network for few-shot molecular property prediction
    Linlin Hou, Hongxin Xiang, Xiangxiang Zeng, Dongsheng Cao, Li Zeng, Bosheng Song · 2024 · Briefings in Bioinformatics
  5. A Comprehensive Review of Few-Shot Action Recognition
    Yuyang Wanyan, Xiaoshan Yang, Weiming Dong, Changsheng Xu · 2025 · International Journal of Computer Vision
  6. Integration of artificial intelligence and sustainable energy management in the pulp and paper industry: A path to decarbonization
    Raine Viitala, Mikael Miettinen, Ronald Márquez, Aleksanteri Hämäläinen, Aku Karhinen, NELSON A. BARRIOS, Ronalds González, Lokendra Pal, Hasan Jameel, Kenneth Holmberg · 2025 · Renewable and Sustainable Energy Reviews
  7. AgriFewNet—A Lightweight RGB Few-Shot Learning Model for Efficient Plant Disease Classification
    Tina Babu, Rekha R Nair, Balamurugan Balusamy, Wee How Khoh, J. K. M. Nair · 2025 · Applied Sciences
  8. Strategies in training deep learning models to extract building from multisource images with small training sample sizes
    Dávid Abriha, Szilárd Szabó · 2023 · International Journal of Digital Earth
  9. SqliGPT: Evaluating and Utilizing Large Language Models for Automated SQL Injection Black-Box Detection
    Zhiwen Gui, Enze Wang, Binbin Deng, Mingyuan Zhang, Yitao Chen, Shengfei Wei, Wei Xie, Baosheng Wang · 2024 · Applied Sciences
  10. Deep Semantic Canonical Correlation Embedding for Zero-Shot Industrial Process Fault Diagnosis
    Zongyu Yao, Qingchao Jiang, Weimin Zhong, Xingsheng Gu · 2025 · IEEE Transactions on Systems Man and Cybernetics Systems
  11. Inverse design of non-parametric acoustic metamaterials via transfer-learned dual variational autoencoder with latent space-based data augmentation
    Keon Ko, Min Woo Cho, Kyungjun Song, Dong Yong Park, Sang Min Park · 2025 · Engineering Applications of Artificial Intelligence
  12. LSFSL: Leveraging Shape Information in Few-shot Learning
    Deepan Chakravarthi Padmanabhan, Shruthi Gowda, Elahe Arani, Bahram Zonooz · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  13. SLTRN: Sample-level transformer-based relation network for few-shot classification
    Zhe Sun, Wang Zheng, Mingyang Wang · 2024 · Neural Networks
  14. GLGAT-CFSL: Global-Local Graph Attention Network-Based Cross-Domain Few-Shot Learning for Hyperspectral Image Classification
    Chen Ding, Zhicong Deng, Yaoyang Xu, Mengmeng Zheng, Lei Zhang A, Yu Cao, Wei Wei, Yanning Zhang · 2024 · IEEE Transactions on Geoscience and Remote Sensing
  15. Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS Data
    Felix Ott, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Jonathan Hansen, Alexander Rügamer, Christopher Mutschler · 2024 · International Conference on Localization and GNSS
  16. ITIMCA: Image-text information and cross-attention for multi-modal cassava leaf disease classification based on a novel multi-modal dataset in natural environments
    Huinian Li, Baoyu Chen, Jingjia Chen, Shuting Li, Feiyong He, Yingbiao Hu · 2024 · Crop Protection
  17. Predicting the tensile properties of wood plastic composites using material extrusion with meta-based Few-Shot learning
    Zhuo Zeng, Yan Zhou, Shifeng Wen, Cheng Zhou · 2024 · Composites Part A Applied Science and Manufacturing
  18. A Novel Few-Shot Learning Framework Based on Diffusion Models for High-Accuracy Sunflower Disease Detection and Classification
    Huachen Zhou, Weixia Li, Pei Xian Li, Yifei Xu, Lin Zhang, Xingyu Zhou, Zihan Zhao, Enqi Li, Chunli Lv · 2025 · Plants
  19. Leveraging Latent Diffusion Models for Training-Free in-Distribution Data Augmentation for Surface Defect Detection
    Federico Girella, Ziyue Liu, Franco Fummi, Francesco Setti, Marco Cristani, Luigi Capogrosso · 2024 · International Workshop on Content-Based Multimedia Indexing (CBMI)
  20. An Efficient Model for Leafy Vegetable Disease Detection and Segmentation Based on Few-Shot Learning Framework and Prototype Attention Mechanism
    Tong Hai, Yuxin Shao, Xiyan Zhang, Guangqi Yuan, Ruihao Jia, Zhitao Fu, Xiaohan Wu, Xinjin Ge, Yihong Song, Min Dong et al. · 2025 · Plants
  21. Towards Medical Complex Reasoning with LLMs through Medical Verifiable Problems
    Chen, Junying, Cai, Zhenyang, Ji, Ke, Wang, Xidong, Liu, Wanlong, Wang, Rongsheng, Wang, Benyou · 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  22. Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies
    Andrea Loddo, Marco Usai, Cecilia Di Ruberto · 2024 · Journal of Imaging
  23. Towards Generating Executable Metamorphic Relations Using Large Language Models
    Seung Yeob Shin, Fabrizio Pastore, Domenico Bianculli, Alexandra Băicoianu · 2024 · Communications in computer and information science
  24. CAMCFormer: Cross-Attention and Multicorrelation Aided Transformer for Few-Shot Object Detection in Optical Remote Sensing Images
    Lefan Wang, Shaohui Mei, Yi Wang, Jiawei Lian, Zonghao Han, Yan Feng · 2025 · IEEE Transactions on Geoscience and Remote Sensing
  25. CIGGAN: A Ground-Penetrating Radar Image Generation Method Based on Feature Fusion
    Haoxiang Tian, Xu Bai, Xuguang Zhu, Pattathal V. Arun, Jingxuan Mi, Dong Zhao · 2025 · IEEE Transactions on Geoscience and Remote Sensing
  26. FireCLIP: Enhancing Forest Fire Detection with Multimodal Prompt Tuning and Vision-Language Understanding
    Sifan Wu, Yuming Qiao, Sen He, Jiahao Zhou, Zhi Wang, Xin Li, Fei Wang · 2025 · Fire
  27. A meta-transfer-driven method for predicting the remaining useful life of rolling bearing with few shot data
    Daoming She, Yangyang Luo, Yitian Wang, Shuyuan Gan, Xiaoan Yan, MICHAEL G. PECHT · 2025 · Measurement
  28. Automated machine learning for classification and regression: A tutorial for psychologists
    Chaewon Lee, Kathleen M. Gates · 2025 · Behavior Research Methods
  29. Advancements in Meta-Learning Paradigms: A Comprehensive Exploration of Techniques for Few-Shot Learning in Computer Vision
    Priyanka ., Sunil Kumar · 2024 · International Conference on Intelligent Systems for Cybersecurity (ISCS)
  30. A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness
    Branislav Pecher, Ivan Srba, Mária Bieliková · 2024 · ACM Computing Surveys
  31. Low-Resource Vision Challenges for Foundation Models
    Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  32. Hyperbolic prototype rectification for few-shot 3D point cloud classification
    Yuan-Zhi Feng, Shing-Ho J. Lin, Xuan Tang, Mu-Yu Wang, Jianzhang Zheng, Zi-Yao He, Zi-Yi Pang, Jian Yang, Mingsong Chen, Xian Wei · 2024 · Pattern Recognition
  33. Spatial–temporal multi-scale interaction for few-shot video summarization
    Qun Li, Zhuxi Zhan, Yanchao Li, Bir Bhanu · 2024 · Engineering Applications of Artificial Intelligence
  34. Deep Learning in Palmprint Recognition-A Comprehensive Survey
    Chengrui Gao, Ziyuan Yang, Wei Jia, Lu Leng, Bob Zhang, Andrew Beng Jin Teoh · 2025 · Qeios
  35. Measurement uncertainty evaluation with small samples: A review and prospect
    Haojie Xia, Yinye Ding, Wenhao Chen, Jin Zhang, Hongli Li, Huining Zhao, Rencheng Song · 2025 · Measurement
  36. A review and systematic guide to counteracting medical data scarcity for AI applications
    Fabian Gröger, Ludovic Amruthalingam, Simone Lionetti, Alexander Andreas Navarini, Fabian Ille, Marc Pouly · 2025 · Computer Methods and Programs in Biomedicine Update
  37. “She was useful, but a bit too optimistic”: Augmenting Design with Interactive Virtual Personas
    Paluck Deep, Monica Bharadhidasan, Ahmet Baki Kocaballi · 2025 · International Journal of Human-Computer Studies
  38. Language-Aware Soft Prompting: Text-to-Text Optimization for Few- and Zero-Shot Adaptation of V &L Models
    Adrian Bulat, Georgios Tzimiropoulos · 2023 · International Journal of Computer Vision
  39. Event diagnosis method for a nuclear power plant using meta-learning
    Hee-Jae Lee, Daeil Lee, Jonghyun Kim · 2024 · Nuclear Engineering and Technology
  40. Few-Shot Website Fingerprinting With Distribution Calibration
    Chenxiang Luo, Wenyi Tang, Qixu Wang, Danyang Zheng · 2024 · IEEE Transactions on Dependable and Secure Computing
  41. CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation
    Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, Hinrich Schütze · 2025 · Transactions of the Association for Computational Linguistics
  42. Evaluating few-shot and contrastive learning methods for code clone detection
    Mohamad Khajezade, Fatemeh H. Fard, Mohamed Shehata · 2024 · Empirical Software Engineering
  43. A cognitive few-shot learning for medical diagnosis: A case study on cleft lip and palate and Parkinson’s disease
    Pei Yin, Junjie Song, Yassine Bouteraa, Leren Qian, Diego R. Martín, Mohammad Khishe · 2024 · Expert Systems with Applications
  44. Optimizing Breast Cancer Detection: Integrating Few‐Shot and Transfer Learning for Enhanced Accuracy and Efficiency
    Nadeem Sarwar, Shaha T. Al-Otaibi, Asma Irshad · 2025 · International Journal of Imaging Systems and Technology
  45. Enhancing few-sample spatio-temporal prediction via relational fusion-based hypergraph neural network
    Xiaocao Ouyang, Yanhua Li, Dongyu Guo, Wei Dong Huang, Xin Yang, Yan Xin Yang, Junbo Zhang, Tianrui Li · 2025 · Information Fusion
  46. A review of few-shot image classification: Approaches, datasets and research trends
    Jit Yan Lim, Kian Ming Lim, Chin Poo Lee, Yong Xuan Tan · 2025 · Neurocomputing
  47. A quasi-experimental analysis of capabilities and limitations of generative AI in academic content evaluation in social sciences
    Yu Zhu, Yongrong Lu, Huan Xin Xie, Jiyuan Ye, Ming Chen · 2025 · Information Processing & Management
  48. An Investigation Into the Behavior of Intelligent Fault Diagnostic Models Under Imbalanced Data
    Zhijun Ren, Jinchen Ji, Yongsheng Zhu, Ke Feng · 2023 · IEEE Transactions on Instrumentation and Measurement
  49. Few-shot image classification based on gradual machine learning
    Na Chen, Xianming Kuang, Feiyu Liu, Kehao Wang, Lijun Zhang, Qun Chen · 2024 · Expert Systems with Applications
  50. Generalized zero-shot fault diagnosis based on fault similarity for hydrometallurgical process
    Siqi Wang, Yan Liu, Fuli Wang, Zhe Ma · 2024 · Control Engineering Practice
  51. Estimation of Gross Primary Productivity Using Performance-Optimized Machine Learning Methods for the Forest Ecosystems in China
    Qin Na, Quan Lai, Gang Bao, Jingyuan Xue, Xinyi Liu, Rihe Gao · 2025 · Forests
  52. Hyperbolic Insights With Knowledge Distillation for Cross-Domain Few-Shot Learning
    Xi Yang, Dechen Kong, Nannan Wang, Xinbo Gao · 2025 · IEEE Transactions on Image Processing
  53. Evolutionary sparse learning reveals the shared genetic basis of convergent traits
    John B. Allard, Sudip Sharma, Ravi Patel, Maxwell D. Sanderford, Koichiro Tamura, Slobodan Vučetić, Glenn S. Gerhard, Sudhir Kumar · 2025 · Nature Communications
  54. Knowledge-driven prototype refinement for few-shot fine-grained recognition
    Jiale Chen, Feng Xu, Xin Lyu, Tao Zeng, Xin Li, Shangjing Chen · 2025 · Knowledge-Based Systems
  55. The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations
    Cedric Waterschoot, Nava Tintarev, Francesco Barile · 2025 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
  56. Generative adversarial networks with Gramian angular field for handling imbalanced data in specific emitter identification
    Yezhuo Zhang, Zinan Zhou, Xuanpeng Li · 2024 · Signal Image and Video Processing
  57. BiLSTM-TANet: an adaptive diverse scenes model with context embeddings for few-shot learning
    He Zhang, Han Liu, Lili Liang, Wenlu Ma, Ding Liu · 2024 · Applied Intelligence
  58. Heterogeneous Prototype Distillation With Support-Query Correlative Guidance for Few-Shot Remote Sensing Scene Classification
    Yin Zhuang, Yuanhao LIU, Tong Zhang, Liang Chen, He Chen, Lianlin Li · 2024 · IEEE Transactions on Geoscience and Remote Sensing
  59. Decision Boundary Optimization for Few-shot Class-Incremental Learning
    Chenxu Guo, Qi Zhao, Shuchang Lyu, Binghao Liu, Chunlei Wang, Lijiang Chen, Guangliang Cheng · 2023 · IEEE International Conference on Computer Vision Workshops
  60. Exploring Few-Shot Learning Approaches for Bioinformatics Advancements
    Neha Bhati, Ronak Duggar, Abdullah Alzahrani · 2024 · Advances in bioinformatics and biomedical engineering book series
  61. Few-Shot Remote Sensing Scene Classification via Subspace Based on Multiscale Feature Learning
    Anyong Qin, Fuyang Chen, Qiang Li, Tiecheng Song, Yu Zhao, Chenqiang Gao · 2024 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  62. Unsupervised meta-learning for few-shot medical image classification based on metric learning
    Lv Ding, Beiji Zou, Xiaoyan Kui, Yulan Dai, Zeming Chen, Liming Chen · 2025 · Biomedical Signal Processing and Control
  63. A Multi-Rank Federated Distillation Framework for Data-Imbalance Fault Diagnosis of Multi-Railway High-Speed Train Bogies
    Jiahao Du, Na Qin, Deqing Huang, Xinming Jia, Yiming Zhang · 2025 · IEEE Transactions on Intelligent Transportation Systems
  64. Few-shot SAR image classification via multiple prototypes ensemble
    Zhiqiang Zhao, Yuhui Tong, Meng Jia, Yuan Qiu, Xiaofan Wang, Xinhong Hei · 2025 · Neurocomputing
  65. A Novel Clustering-Guided Framework for Rotating Machinery Fault Diagnosis With Extremely Limited Labeled Data
    Tongda Sun, Yining Dong, Wanqian Yang, Gang Yu · 2025 · IEEE Transactions on Industrial Informatics
  66. Multimodal prototypical networks with Co-metric fusion for few-shot hyperspectral image classification
    Yuhang Li, Jinrong He, Hanchi Liu, Yurong Zhang, Zhaokui Li · 2025 · Neurocomputing
  67. Plant and Disease Recognition Based on PMF Pipeline Domain Adaptation Method: Using Bark Images as Meta-Dataset
    Zhelin Cui, Kanglong Li, Chunyan Kang, Yi Wu, Tao Li, Mingyang Li · 2023 · Plants
  68. APPN: An Attention-based Pseudo-label Propagation Network for few-shot learning with noisy labels
    Jiaqi Chen, Shizhuo Deng, Da Teng, Dongyue Chen, Tong Jia, Hao Wang · 2024 · Neurocomputing
  69. An active representation learning method for reaction yield prediction with small-scale data
    Peng-Xiang Hua, Zhen Huang, Zheyuan Xu, Qiang Zhao, Chen-Yang Ye, Yi‐Feng Wang, Yun‐He Xu, Yao Fu, Hu Ding · 2025 · Communications Chemistry
  70. FishMet: A Digital Twin Framework for Appetite, Feeding Decisions and Growth in Salmonid Fish
    Sergey V. Budaev, Giovanni Marco Cusimano, Ivar Rønnestad · 2025 · Aquaculture Fish and Fisheries
  71. Few-shot learning and deep predictive models for cost optimization and carbon emission reduction in energy-water management
    Wei Zhao, Hao Chen, Devrim Murat Yazan, Hadi Taghavifar, Yucheng Lyu, Aldis Bulis · 2025 · Journal of Environmental Management
  72. Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study
    Hongbo Chen, Myrtede C. Alfred, Eldan Cohen · 2025 · JMIR Medical Informatics
  73. A Survey of Multi-Label Text Classification Under Few-Shot Scenarios
    Wenlong Hu, Qiang Fan, Hao Yan, Xinyao Xu, Shan Huang, Ke Zhang · 2025 · Applied Sciences
  74. Automated vs. manual linguistic annotation for assessing pragmatic competence in English classes
    Mohsen Mahmoudi-Dehaki, Nasim Nasr-Esfahani · 2025 · Research Methods in Applied Linguistics
  75. AI in Atomic Force Microscopy: Advancing Biological Nanoscale Imaging and Autonomous Discovery
    Seungmin Lee, Seokbeom Roh, Hyowon Woo, Gyudo Lee, Hyo Gi Jung, K A Lee, Hakho Lee, Dae Sung Yoon, Jeong Hoon Lee · 2026 · ACS Nano
  76. SEML: Self-Supervised Information-Enhanced Meta-learning for Few-Shot Text Classification
    Hui Li, Guimin Huang, Yiqun Li, Xiaowei Zhang, Yabing Wang, Jun Li · 2023 · International Journal of Computational Intelligence Systems
  77. Few shot intelligent assessment method for compaction quality of earthwork considering uncertainty
    Naifu Deng, Zaizhan An, Jiawang Hao, Qinglong Zhang · 2024 · Expert Systems with Applications
  78. FSRM-DDIE : few-shot learning methods based on relation metrics for the prediction of drug-drug interaction events
    Lianwei Zhang, Dongjiang Niu, Beiyi Zhang, Qiang Zhang, Zhen Li · 2024 · Applied Intelligence
  79. Multimodal Data Fusion for Tabular and Textual Data: Zero-Shot, Few-Shot, and Fine-Tuning of Generative Pre-Trained Transformer Models
    Shadi Jaradat, Mohammed Mamdouh Zakaria Elhenawy, Richi Nayak, Alexander Paz, Huthaifa I. Ashqar, Sébastien Glaser · 2025 · AI
  80. Efficient positioning error compensation for robots in wire arc hybrid manufacturing systems
    Jianlong Zhang, Jiarui Lin, Yang Gao, Zheng Wang, Fangda Xu, Jigui Zhu · 2025 · Robotics and Computer-Integrated Manufacturing
  81. Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation
    Mengshi Yang, Kaiyuan Tang, Chaoli Wang · 2025 · IEEE Pacific Visualization Conference (PacificVis)
  82. Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data
    Felix Gerschner, Jonas Paul, Lukas Schmid, Nico Barthel, Victor Gouromichos, Florian T. Schmid, Martin Atzmueller, Andreas Theissler · 2023 · IEEE International Conference on Industrial Informatics (INDIN)
  83. Combining Hilbert Feature Sequence and Lie Group Metric Space for Few-Shot Remote Sensing Scene Classification
    Xiliang Chen, Guobin Zhu, Chan Ji · 2023 · IEEE Transactions on Geoscience and Remote Sensing
  84. DouN-GNN:Double nodes graph neural network for few-shot learning
    Yan Zhang, Xudong Zhou, Nian Wang, Jun Hu Tang, Xuan Tao · 2024 · Neurocomputing
  85. Mixed contrastive transfer learning for few-shot workload prediction in the cloud
    Ziran Zuo, Yifa Huang, Zhenghui Li, Ying Jiang, Chunhong Liu · 2024 · Computing
  86. Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learning
    Yulong Ji, Kunjin Zou, Bin Zou · 2024 · Cybersecurity
  87. Curriculum-guided skill learning for long-horizon robot manipulation tasks
    João Alves, Nuno Lau, Filipe Miguel Teixeira Pereira da Silva · 2025 · Robotics and Autonomous Systems
  88. Emphasis on sensitivity and accuracy: Design and optimization of a high-sensitivity terahertz photonic crystal fiber sensor for precision analysis of petrochemical-based adulterants in hydrocarbon mixtures
    Shuvo Sen, Md. Abdullah-Al-Shafi · 2025 · Sensing and Bio-Sensing Research
  89. Dual-Alignment CLIP: Task-Specific Alignment of Text and Visual Features for Few-Shot Remote Sensing Scene Classification
    Dongmei Deng, Ping Yao · 2025 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  90. Fast-adaptive early-stage remaining useful life prediction of lithium-ion batteries with meta-learning
    Jiaqi Yao, Haoyang Zhao, Julia Kowal · 2025 · Journal of Power Sources
  91. Adaptable microplastic classification using similarity learning on µFTIR spectra collected from µFTIR focal plane array imaging
    Justin A. Smolen, Gavin E. Moore, Nicholas D. Perez, Karen L. Wooley · 2025 · Proceedings of the National Academy of Sciences
  92. Cross-Modal Device-Free Radar Sensing With Information Maximization Enhancement and Few-Shot Learning
    Chao Fang, Yong Wang, Mu Zhou, Bingcai Chen, Jiacheng Wang, Bao Peng · 2025 · IEEE Transactions on Microwave Theory and Techniques
  93. Reconfiguring Responsibility: An Empirical Analysis of Crisis Discourse and Situational Crisis Communication on Douyin
    Pu Zhang, Zheng Wei, Feng Kong · 2026 · International Journal of Disaster Risk Science
  94. Adapting Vision–Language Models for Few-Shot Industrial Defect Detection
    Chayanon Sub-r-pa, Rung-Ching Chen · 2026 · Algorithms
  95. Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
    Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  96. English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts
    Patrick Bareiß, Roman Klinger, Jeremy Barnes · 2024 · International World Wide Web Conference (WWW)
  97. Combined modulation format identification and optical signal-to-noise ratio monitoring with high accuracy and generalizability based on a proposed fused module few-shot learning algorithm in dynamic coherent optical transmissions
    Di Zhang, Hanyu Zhang, Yameng Cao, Yan Xue · 2024 · Optics Express
  98. Hierarchical Relational Inference for Few-Shot Learning in 3D Left Atrial Segmentation
    Xuejiao Li, Jun Chen, Heye Zhang, Yongwon Cho, Sung Ho Hwang, Zhifan Gao, Guang Yang · 2024 · IEEE Transactions on Emerging Topics in Computational Intelligence
  99. Blessing few-shot segmentation via semi-supervised learning with noisy support images
    Runtong Zhang, Hongyuan Zhu, Hanwang Zhang, Chen Gong, Joey Tianyi Zhou, Fanman Meng · 2024 · Pattern Recognition
  100. A few-shot learning methodology for improving safety in industrial scenarios through universal self-supervised visual features and dense optical flow
    Juan Jesús Losada-del-Olmo, Ángel Luis Perales Gómez, Pedro E. López-de-Teruel, Alberto Ruiz · 2024 · Applied Soft Computing