conftrace_

few-shot learning

3390 papers

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Also known as

FSL FEW-SHOT FSS

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

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

Spatiotemporal Transformers with Multiple Instance Learning for Label-Efficient Behavioral Analysis in Autism (Student Abstract) AAAI 2026

O3SLM: Open Weight, Open Data, and Open Vocabulary Sketch-Language Model AAAI 2026

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

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

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

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

GEM: Generative Entropy-Guided Preference Modeling for Few-Shot Alignment of LLMs AAAI 2026

From Few-Shot Learning to Data-Efficient Intelligence AAAI 2026

OFL-SAM2: Prompt SAM2 with Online Few-shot Learner for Efficient Medical Image Segmentation AAAI 2026

Few-Shot Precise Event Spotting via Unified Multi-Entity Graph and Distillation AAAI 2026

Multimodal Medical Image Binding via Shared Text Embeddings WACV 2026

NeuroBridge: Few-Shot Cross-Modal Neuron Re-identification via Dual-Channel Deep Metric Learning WACV 2026

Overcoming Small Data Limitations in Video-Based Infant Respiration Estimation WACV 2026

Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources WACV 2026

DOTGraph: CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning for Few-Shot Segmentation WACV 2026

PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection WACV 2026

Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection WACV 2026

NAPP: Noise-Adaptive Prototype Perturbation for Few-Shot Learning WACV 2026

Any Detector Can Detect Anything WACV 2026

Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning EACL 2026

Personality Editing for Language Models through Adjusting Self-Referential Queries EACL 2026

Task-Level Instructions Induction for Audio Question Answering from Few Examples EACL 2026

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