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few-shot learning

3390 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (12755) zero-shot learning (3637) transfer learning (5442) in-context learning (1369) text classification (6776) domain adaptation (4578) prompt engineering (1128) language model (4573) representation learning (6174) contrastive learning (3979)

Papers

FontAnimate: High Quality Few-shot Font Generation via Animating Font Transfer Process ICCV 2025
Evaluation of Large Language Models on Arabic Punctuation Prediction COLING 2025
AnomalyDINO: Boosting Patch-Based Few-Shot Anomaly Detection with DINOv2 WACV 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition WACV 2025
TFM^2: Training-Free Mask Matching for Open-Vocabulary Semantic Segmentation WACV 2025
Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering ACL 2025
Argumentative Fallacy Detection in Political Debates ACL 2025
Self-Contrastive Loop of Thought Method for Text-to-SQL Based on Large Language Model ACL 2025
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation AAAI 2025
UncleLM at SemEval-2025 Task 11: RAG-Based Few-Shot Learning and Fine-Tuned Encoders for Multilingual Emotion Detection ACL 2025
OPI-DRO-HEL at SemEval-2025 Task 9: Integrating Transformer-Based Classification with LLM-Assisted Few-Shot Learning for Food Hazard Detection ACL 2025
NlpUned at SemEval-2025 Task 10: Beyond Training: A Taxonomy-Guided Approach to Role Classification Using LLMs SEMEVAL 2025
Enhancing Vision-Language Few-Shot Adaptation with Negative Learning WACV 2025
BridG MT: Enhancing LLMs’ Machine Translation Capabilities with Sentence Bridging and Gradual MT ACL 2025
OPI-DRO-HEL at at SemEval-2025 Task 11: Few-shot prompting for Text-based Emotion Recognition SEMEVAL 2025
A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract) AAAI 2025
Few-Shot Domain Adaptation for Learned Image Compression AAAI 2025
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels AAAI 2025
All You Need in Knowledge Distillation Is a Tailored Coordinate System AAAI 2025
A baseline for self-state identification and classification in mental health data: CLPsych 2025 Task NAACL 2025
Ego-VPA: Egocentric Video Understanding with Parameter-Efficient Adaptation WACV 2025
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning AAAI 2025
On Evaluation Protocols for Data Augmentation in a Limited Data Scenario COLING 2025
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning AAAI 2025
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification CVPR 2025