Active Learning

Sequential Information Maximization: When is Greedy Near-optimal? COLT 2015 Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling JMLR 2015 Submodularity in Data Subset Selection and Active Learning ICML 2015 Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery JMLR 2015 Active Annotation Translation CVPR 2014 Active Area Search via Bayesian Quadrature AISTATS 2014 Active Boundary Annotation using Random MAP Perturbations AISTATS 2014 Active Contextual Policy Search JMLR 2014 Active Detection via Adaptive Submodularity ICML 2014 Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation CVPR 2014 Active Imitation Learning: Formal and Practical Reductions to I.I.D. Learning JMLR 2014 Active Learning and Best-Response Dynamics NeurIPS 2014 Active Learning for Undirected Graphical Model Selection AISTATS 2014 Active Learning of Parameterized Skills ICML 2014 Active Learning Using Smooth Relative Regret Approximations with Applications JMLR 2014 Active Regression by Stratification NeurIPS 2014 Active Sampling for Subjective Image Quality Assessment CVPR 2014 Active Transfer Learning under Model Shift ICML 2014 An Analysis of Active Learning with Uniform Feature Noise AISTATS 2014 An LP for Sequential Learning Under Budgets AISTATS 2014 Asymptotic Accuracy of Distribution-Based Estimation of Latent Variables JMLR 2014 Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes CVPR 2014 Beyond Disagreement-Based Agnostic Active Learning NeurIPS 2014 Characterizing EVOI-Sufficient k-Response Query Sets in Decision Problems AISTATS 2014 Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014