few-shot learning

3390 papers

Explore in graph

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

RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA AAAI 2026

Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion AAAI 2026

Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer’s Disease Detection AAAI 2026

ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations AAAI 2026

EHRStruct: A Comprehensive Benchmark Framework for Evaluating Large Language Models on Structured Electronic Health Record Tasks AAAI 2026

MPA: Multimodal Prototype Augmentation for Few-Shot Learning AAAI 2026

Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection AAAI 2026

MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification AAAI 2026

PPGPT: Transferring Next-Token Modeling from Language to PPG Signals AAAI 2026

Generalizing Vision-Language Models with Dedicated Prompt Guidance AAAI 2026

RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models AAAI 2026

Energy-guided Dual Domain-invariant Prompting Framework with Fourier Regularization for Generalized Few-Shot Medical Segmentation AAAI 2026

Disentangled Generation-Based Prototypical Alignment for Few-Shot Unsupervised Domain Adaptation in Graph-Level Anomaly Detection AAAI 2026

Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models AAAI 2026

Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models AAAI 2026

T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion AAAI 2026

Context-aware Graph Meta-learning AAAI 2026

Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection AAAI 2026

StyleProto: Style-Augmented Prototype Learning for Cross-Domain Few-Shot Object Detection AAAI 2026

EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance AAAI 2026

Training-free Boosting for Few-shot Segmentation via Generalizing Semantic Mining AAAI 2026

Biologically-Inspired Evolutionary Domain Symbiosis for Few-shot and Zero-shot Point Cloud Semantic Segmentation AAAI 2026

Task-Specific Distance Correlation Matching for Few-Shot Action Recognition AAAI 2026

EchoMimicV3: 1.3B Parameters Are All You Need for Unified Multi-Modal and Multi-Task Human Animation AAAI 2026

Temporal Object-Aware Vision Transformer for Few-Shot Video Object Detection AAAI 2026