active learning

Active Learning Meets Foundation Models: Fast Remote Sensing Data Annotation for Object Detection ICCV 2025 Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes ICML 2025 Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation WACV 2025 Active Learning with Selective Time-Step Acquisition for PDEs ICML 2025 Active Reinforcement Learning Strategies for Offline Policy Improvement AAAI 2025 Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment ICML 2025 Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching AAAI 2025 AcZeroTS: Active Learning for Zero-shot Tissue Segmentation in Pathology Images ICCV 2025 Adaptive Deep Learning from Crowds IJCAI 2025 Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025 Advancing African-Accented English Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models ACL 2025 Algorithms and Hardness for Active Learning on Graphs ICML 2025 ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval EMNLP 2025 All models are wrong, some are useful: Model Selection with Limited Labels AISTATS 2025 An Active Learning Framework for Inclusive Generation by Large Language Models COLING 2025 Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts EMNLP 2025 A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams IJCAI 2025 AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds AAAI 2025 A Semantic Uncertainty Sampling Strategy for Back-Translation in Low-Resources Neural Machine Translation ACL 2025 ATGen: A Framework for Active Text Generation ACL 2025 Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation EMNLP 2025 AutoAL: Automated Active Learning with Differentiable Query Strategy Search ICML 2025 AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery AAAI 2025 Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations AAAI 2025 Can a Neural Model Guide Fieldwork? A Case Study on Morphological Data Collection COLING 2025