active learning

Learning to Learn in Interactive Constraint Acquisition AAAI 2024 Learning to Rank for Active Learning via Multi-Task Bilevel Optimization UAI 2024 Let's Verify Step by Step ICLR 2024 Linear Uncertainty Quantification of Graphical Model Inference NeurIPS 2024 Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild NeurIPS 2024 Machine-in-the-Loop with Documentary and Descriptive Linguists EACL 2024 Making RL with Preference-based Feedback Efficient via Randomization ICLR 2024 Margin-Based Active Learning of Classifiers JMLR 2024 Mentored Learning: Improving Generalization and Convergence of Student Learner JMLR 2024 Mode Estimation with Partial Feedback COLT 2024 Model-Free Preference Elicitation IJCAI 2024 Monocular 3D Object Detection With LiDAR Guided Semi Supervised Active Learning WACV 2024 Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024 Multi-Resolution Active Learning of Fourier Neural Operators AISTATS 2024 Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning EMNLP 2024 One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models ICLR 2024 On the Convergence of Loss and Uncertainty-based Active Learning Algorithms NeurIPS 2024 On the Fragility of Active Learners for Text Classification EMNLP 2024 Optimal Decision Tree and Adaptive Submodular Ranking with Noisy Outcomes JMLR 2024 Optimal Design for Human Preference Elicitation NeurIPS 2024 Optimistic Bayesian Optimization with Unknown Constraints ICLR 2024 Optimizing Relation Extraction in Medical Texts through Active Learning: A Comparative Analysis of Trade-offs EACL 2024 Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale EMNLP 2024 Plug and Play Active Learning for Object Detection CVPR 2024 POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024