Active Learning

Attribute Efficient Linear Regression with Distribution-Dependent Sampling ICML 2015 Bayesian Active Model Selection with an Application to Automated Audiometry NeurIPS 2015 Becoming the Expert - Interactive Multi-Class Machine Teaching CVPR 2015 Best of Both Worlds: Human-Machine Collaboration for Object Annotation CVPR 2015 Cascading Bandits: Learning to Rank in the Cascade Model ICML 2015 Context Aware Active Learning of Activity Recognition Models ICCV 2015 Convergence Rates of Active Learning for Maximum Likelihood Estimation NeurIPS 2015 Copeland Dueling Bandits NeurIPS 2015 Dynamic Sensing: Better Classification under Acquisition Constraints ICML 2015 Efficient and Parsimonious Agnostic Active Learning NeurIPS 2015 Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation ICCV 2015 Efficient Label Collection for Unlabeled Image Datasets CVPR 2015 Efficient Learning of Linear Separators under Bounded Noise COLT 2015 Hierarchical Label Queries with Data-Dependent Partitions COLT 2015 Introducing Geometry in Active Learning for Image Segmentation ICCV 2015 Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints JMLR 2015 Minimax Analysis of Active Learning JMLR 2015 Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters ICCV 2015 Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition ICCV 2015 Multiclass Semantic Video Segmentation With Object-Level Active Inference CVPR 2015 NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning NeurIPS 2015 Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach NeurIPS 2015 On-the-Job Learning with Bayesian Decision Theory NeurIPS 2015 Qualitative Multi-Armed Bandits: A Quantile-Based Approach ICML 2015 S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification COLT 2015