few-shot learning

3390 papers

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Also known as

ICL FSL FSAS FSED FSOD FSSL FSR FSC FFG FSAC FEW-SHOT FSCD FSIG FLAD FSCIL FSS FSRE FSIL CDFSL FS-XLT

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

DS2-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis ACL 2025

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning ACL 2025

MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset ACL 2025

XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples NAACL 2025

HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning AAAI 2025

OpenCity3D: What do Vision-Language Models Know About Urban Environments? WACV 2025

Sibai: A Few-Shot Meta-Classifier for Poisoning Detection in Federated Learning ICCV 2025

All You Need in Knowledge Distillation Is a Tailored Coordinate System AAAI 2025

Verbalized Representation Learning for Interpretable Few-Shot Generalization ICCV 2025

Multi-Modal Few-Shot Temporal Action Segmentation ICCV 2025

Memory-Reduced Meta-Learning with Guaranteed Convergence AAAI 2025

Hierarchical Material Recognition from Local Appearance ICCV 2025

Self-Supervised Pre-Training with Diffusion Model for Few-Shot Landmark Detection in X-Ray Images WACV 2025

Task-Specific Preconditioner for Cross-Domain Few-Shot Learning AAAI 2025

Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms AAAI 2025

Teaching VLMs to Localize Specific Objects from In-context Examples ICCV 2025

FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation AAAI 2025

Lark: Low-Rank Updates After Knowledge Localization for Few-shot Class-Incremental Learning ICCV 2025

Towards Effective Foundation Model Adaptation for Extreme Cross-Domain Few-Shot Learning ICCV 2025

Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation AAAI 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

Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation AAAI 2025

Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels AAAI 2025

Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models ICCV 2025