few-shot learning

First Frame Is the Place to Go for Video Content Customization CVPR 2026 Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting CVPR 2026 From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning AAAI 2026 From Few-Shot Learning to Data-Efficient Intelligence AAAI 2026 From Few-Shot to Zero-Shot Pallet Load Recognition: A Deployed Embedding-Based Vision System for Industrial Logistics WACV 2026 From Novice to Expert: Generating Audience-Dependent Concert Moderations with RAG-LLMs EACL 2026 Game Ground Bench: Probing the Limits of LVLMs in Complex Semantic Grounding Across Game Universes AAAI 2026 GazeShift: Unsupervised Gaze Estimation and Dataset for VR CVPR 2026 GEM: Generative Entropy-Guided Preference Modeling for Few-Shot Alignment of LLMs AAAI 2026 Generalising LLM Routing using Past Performance Retrieval: A Few-Shot Router is Sufficient EACL 2026 Generalizing Vision-Language Models with Dedicated Prompt Guidance AAAI 2026 GPFlow: Gaussian Prototype Probability Flow for Unsupervised Multi-Modal Anomaly Detection CVPR 2026 HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment ACL 2026 Heuristic-inspired Reasoning Priors Facilitate Data-Efficient Referring Object Detection CVPR 2026 Hybrid Neural-LLM Pipeline for Morphological Glossing in Endangered Language Documentation: A Case Study of Jungar Tuvan EACL 2026 HyperNAS: Enhancing Architecture Representation for NAS Predictor via Hypernetwork CVPR 2026 Identifying and Analyzing Performance-Critical Tokens in Large Language Models AAAI 2026 ILSIC: Corpora for Identifying Indian Legal Statutes from Queries by Laymen EACL 2026 Improving on State-of-the-Art Models for Sentiment Analysis on Saudi-English Code-Switching Text EACL 2026 InsAT: Instance-aware Semantic Alignment and Transfer from Human–Object Keypoints for Zero-to-Few-shot Action Understanding ACL 2026 Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection AAAI 2026 Inverse Optimal Transport for Efficient Adaptation of Vision-Language Models AAAI 2026 Knowledge-Enhanced Explainable Prompting for Vision-Language Models AAAI 2026 Learning from Imperfect Data: Incremental Learning and Few-shot Learning AAAI 2026 Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula ACL 2026