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Artificial Intelligence
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Few-Shot Learning
2558 directly classified papers
Papers per year
2002: 1
2009: 1
2012: 1
2013: 6
2014: 2
2015: 3
2016: 6
2017: 19
2018: 48
2019: 127
2020: 167
2021: 323
2022: 394
2023: 448
2024: 528
2025: 401
2026: 83
Papers
LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection
ACL 2025
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement
AAAI 2025
HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting
AAAI 2025
Exploring the Better Multimodal Synergy Strategy for Vision-Language Models
AAAI 2025
Partial Order-centered Hyperbolic Representation Learning for Few-shot Relation Extraction
COLING 2025
Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection
COLING 2025
IdentifyMe: A Challenging Long-Context Mention Resolution Benchmark for LLMs
NAACL 2025
VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification
AAAI 2025
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
IJCAI 2025
Exploring Task-Level Optimal Prompts for Visual In-Context Learning
AAAI 2025
VideoPASTA: 7K Preference Pairs That Matter for Video-LLM Alignment
EMNLP 2025
Towards Effective Foundation Model Adaptation for Extreme Cross-Domain Few-Shot Learning
ICCV 2025
Teaching VLMs to Localize Specific Objects from In-context Examples
ICCV 2025
Visual Textualization for Image Prompted Object Detection
ICCV 2025
Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models
ICCV 2025
Stable Diffusion Models are Secretly Good at Visual In-Context Learning
ICCV 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation
ICCV 2025
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning
ICCV 2025
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities
EMNLP 2025
Seeing 3D Through 2D Lenses: 3D Few-Shot Class-Incremental Learning via Cross-Modal Geometric Rectification
ICCV 2025
Multi-Modal Few-Shot Temporal Action Segmentation
ICCV 2025
Hierarchical Material Recognition from Local Appearance
ICCV 2025
Sibai: A Few-Shot Meta-Classifier for Poisoning Detection in Federated Learning
ICCV 2025
Verbalized Representation Learning for Interpretable Few-Shot Generalization
ICCV 2025
daalft at SemEval-2025 Task 1: Multi-step Zero-shot Multimodal Idiomaticity Ranking
ACL 2025
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