Few-Shot Learning
2,681 papers
Papers per year
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125
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Papers
Teaching Small Language Models to Learn Logic through Meta-Learning
EACL 2026
Team CV at SemEval-2026 Task 4: Prompting LLMs and Benchmarking Embedding Models for Narrative Story Similarity
SemEval 2026
Test-Time Adaptation through Semantically-guided Feature Decomposition for Few-shot Chest X-ray Diagnosis
WACV 2026
TIM++: Transductive Information Maximization for Few-Shot CLIP
AAAI 2026
Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space
AAAI 2026
Training-Free Few-Shot Segmentation via Vision-Language Guided Prompting
WACV 2026
Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters
CVPR 2026
Under-resourced studies of under-resourced languages: lemmatization and POS-tagging with LLM annotators for historical Armenian, Georgian, Greek and Syriac
EACL 2026
Universal-to-Specific: Dynamic Knowledge-Guided Multiple Instance Learning for Few-Shot Whole Slide Image Classification
CVPR 2026
UrbanPG: An Efficient Framework with Personalized Context and General Backbone Interaction for Urban Spatio-Temporal Learning
AAAI 2026
Uslub at AbjadAuthorID Shared Task: A Comparative Analysis of Traditional Machine Learning and Transformer-Based Models for Authorship Attribution in Arabic and Urdu
EACL 2026
vMFCoOp: Towards Equilibrium on a Unified Hyperspherical Manifold for Prompting Biomedical VLMs
AAAI 2026
Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning
AAAI 2026
A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment
CVPR 2025
Acquiring Bidirectionality via Large and Small Language Models
COLING 2025
Act2P: LLM-Driven Online Dialogue Act Classification for Power Analysis
ACL 2025
Active Learning for Continual Learning: Keeping the Past Alive in the Present
ICLR 2025
Active Multimodal Distillation for Few-shot Action Recognition
IJCAI 2025
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations
ACL 2025
Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining
ICCV 2025
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
AAAI 2025
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
AAAI 2025
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization
WACV 2025
Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
ICML 2025
AdversaryAI at BLP-2025 Task 2: A Think, Refine, and Generate (TriGen) System with LoRA and Self-Refinement for Code Generation
AACL 2025