Active Learning

Human Active Learning NeurIPS 2008 Linear Classification and Selective Sampling Under Low Noise Conditions NeurIPS 2008 Multi-Level Active Prediction of Useful Image Annotations for Recognition NeurIPS 2008 Online Metric Learning and Fast Similarity Search NeurIPS 2008 Online Models for Content Optimization NeurIPS 2008 Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007 Active Preference Learning with Discrete Choice Data NeurIPS 2007 A general agnostic active learning algorithm NeurIPS 2007 Anytime Induction of Cost-sensitive Trees NeurIPS 2007 Behavioral Shaping for Geometric Concepts JMLR 2007 Discriminative Batch Mode Active Learning NeurIPS 2007 FilterBoost: Regression and Classification on Large Datasets NeurIPS 2007 Multiple-Instance Active Learning NeurIPS 2007 Nearest-Neighbor-Based Active Learning for Rare Category Detection NeurIPS 2007 Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability RSS 2007 Selecting Observations against Adversarial Objectives NeurIPS 2007 Sequential Hypothesis Testing under Stochastic Deadlines NeurIPS 2007 Active learning for misspecified generalized linear models NeurIPS 2006 Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error JMLR 2006 Active Learning with Feedback on Features and Instances JMLR 2006 A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo NeurIPS 2006 Efficient Methods for Privacy Preserving Face Detection NeurIPS 2006 Incremental Algorithms for Hierarchical Classification JMLR 2006 Incremental Support Vector Learning: Analysis, Implementation and Applications JMLR 2006 Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006