Active Learning

Inversion-based Latent Bayesian Optimization NeurIPS 2024 ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps ACL 2024 Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024 Label Delay in Online Continual Learning NeurIPS 2024 Label-Efficient Model Selection for Text Generation ACL 2024 Learnability Matters: Active Learning for Video Captioning NeurIPS 2024 Learning Fair Division from Bandit Feedback AISTATS 2024 Learning Populations of Preferences via Pairwise Comparison Queries AISTATS 2024 Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024 Learning the What and How of Annotation in Video Object Segmentation WACV 2024 Learning to Learn in Interactive Constraint Acquisition AAAI 2024 Learning to Rank for Active Learning via Multi-Task Bilevel Optimization UAI 2024 Linear Uncertainty Quantification of Graphical Model Inference NeurIPS 2024 Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit 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 Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024 Making RL with Preference-based Feedback Efficient via Randomization ICLR 2024 Margin-Based Active Learning of Classifiers JMLR 2024 MARS: Multimodal Active Robotic Sensing for Articulated Characterization IJCAI 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