conftrace_

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

ObjectCore - Efficient Few-shot Logical Anomaly Detection using Object Representations WACV 2026

Uslub at AbjadAuthorID Shared Task: A Comparative Analysis of Traditional Machine Learning and Transformer-Based Models for Authorship Attribution in Arabic and Urdu EACL 2026

Cross-Modal Event Encoder: Bridging Image-Text Knowledge to Event Streams WACV 2026

Test-Time Adaptation through Semantically-guided Feature Decomposition for Few-shot Chest X-ray Diagnosis WACV 2026

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

Improving on State-of-the-Art Models for Sentiment Analysis on Saudi-English Code-Switching Text EACL 2026

MBTI: Metric-Based Textual Inversion for Fine-Grained Image Generation WACV 2026

STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences WACV 2026

From Few-Shot to Zero-Shot Pallet Load Recognition: A Deployed Embedding-Based Vision System for Industrial Logistics WACV 2026

R-MMA: Enhancing Vision-Language Models with Recurrent Adapters for Few-Shot and Cross-Domain Generalization WACV 2026

SCoNE: a Self-Correcting and Noise-Augmented Method for Complex Biological and Chemical Named Entity Recognition EACL 2026

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

Generalising LLM Routing using Past Performance Retrieval: A Few-Shot Router is Sufficient EACL 2026

ATOM: AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs EACL 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

Hybrid Neural-LLM Pipeline for Morphological Glossing in Endangered Language Documentation: A Case Study of Jungar Tuvan EACL 2026