Active Learning

Constrained Best Arm Identification with Tests for Feasibility AAAI 2026 Creating Generalizable Data-Driven Approaches for Biodiversity Monitoring via Acoustics AAAI 2026 DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion AAAI 2026 Decomposition Sampling for Efficient Region Annotations in Active Learning WACV 2026 Dimension-Aware Active Annotation for Aesthetic Perception via Multi-Agent Human–AI Collaboration AAAI 2026 DISC: Dynamic Feature Selection for Cost-Sensitive Medical Diagnosis AAAI 2026 Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design AAAI 2026 Efficient Contextual Bandit Learning via Reward-Space Sampling and Online Optimization (Student Abstract) AAAI 2026 EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services AAAI 2026 Explore, Refine, then Commit: Nearly Optimal Multi-Group Mean Estimation with Active Learning UAI 2026 Exploring Entropy-based Active Learning for Fair Brain Segmentation MIDL 2026 Federated Active Learning Under Extreme Non-IID and Global Class Imbalance CVPR 2026 Feedback-Aware Prompt Optimization Framework for Generating Job Postings EACL 2026 From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs AAAI 2026 From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning AAAI 2026 Graph-based Label-Efficient Learning: When Graph-Structured Data Meets Limited Labels AAAI 2026 Hierarchical Dataset Selection for High-Quality Data Sharing AAAI 2026 IDEAL-M3D: Instance Diversity-Enriched Active Learning for Monocular 3D Detection WACV 2026 Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds UAI 2026 Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning AAAI 2026 Label What Matters: Modality-Balanced and Difficulty-Aware Multimodal Active Learning CVPR 2026 Language Model-Driven Data Pruning Enables Efficient Active Learning EACL 2026 Learnability-Driven Submodular Optimization for Active Roadside 3D Detection CVPR 2026 Learning from Equivalence Queries, Revisited COLT 2026 Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection CVPR 2026