← Learning Types
Machine Learning › Learning Types ›

Active Learning

1885 directly classified papers

Papers per year

Papers

VCA: Video Curious Agent for Long Video Understanding ICCV 2025
Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model ICCV 2025
Active Learning for Image Segmentation with Binary User Feedback WACV 2025
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations AAAI 2025
Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data AAAI 2025
Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features ICCV 2025
Active Learning for Vision Language Models WACV 2025
Effortless Active Labeling for Long-Term Test-Time Adaptation CVPR 2025
Active Data Curation Effectively Distills Large-Scale Multimodal Models CVPR 2025
ActiveGAMER: Active GAussian Mapping through Efficient Rendering CVPR 2025
Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification EMNLP 2025
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design IJCAI 2025
Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning IJCAI 2025
A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams IJCAI 2025
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks AAAI 2025
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025
CUTN_Bio at BioLaySumm: Multi-Task Prompt Tuning with External Knowledge and Readability adaptation for Layman Summarization ACL 2025
ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions IJCAI 2025
Active Learning Meets Foundation Models: Fast Remote Sensing Data Annotation for Object Detection ICCV 2025
SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation ACL 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment EMNLP 2025
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings JMLR 2025
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation COLING 2025
Can Unconfident LLM Annotations Be Used for Confident Conclusions? NAACL 2025
Towards Open-Ended Discovery for Low-Resource NLP EMNLP 2025