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Active Learning

1885 directly classified papers

Papers per year

Papers

Effortless Active Labeling for Long-Term Test-Time Adaptation CVPR 2025
Towards Open-Ended Discovery for Low-Resource NLP EMNLP 2025
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks AAAI 2025
Learn How to Query from Unlabeled Data Streams in Federated Learning AAAI 2025
Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning IJCAI 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment EMNLP 2025
ActiveGAMER: Active GAussian Mapping through Efficient Rendering CVPR 2025
Adaptive Deep Learning from Crowds IJCAI 2025
MAPLE: A Framework for Active Preference Learning Guided by Large Language Models AAAI 2025
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025
A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams IJCAI 2025
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation IJCAI 2025
From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning ACL 2025
ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions IJCAI 2025
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design IJCAI 2025
SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation ACL 2025
To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models ICCV 2025
CUTN_Bio at BioLaySumm: Multi-Task Prompt Tuning with External Knowledge and Readability adaptation for Layman Summarization ACL 2025
CritiQ: Mining Data Quality Criteria from Human Preferences ACL 2025
CRAAC: Consistency Regularised Active Learning with Automatic Corrections for Real-Life Road Image Annotations WACV 2025
AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery AAAI 2025
EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness IJCAI 2025
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers IJCAI 2025
Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning AAAI 2025