Active Learning

Fine-Grained Crowdsourcing for Fine-Grained Recognition CVPR 2013 Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting NeurIPS 2013 From Semi-supervised to Transfer Counting of Crowds ICCV 2013 Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation JMLR 2013 Generic Exploration and K-armed Voting Bandits ICML 2013 Joint Transfer and Batch-mode Active Learning ICML 2013 Latent Structured Active Learning NeurIPS 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning to Plan for Constrained Manipulation from Demonstrations RSS 2013 Learning to Top-K Search using Pairwise Comparisons AISTATS 2013 Machine Teaching for Bayesian Learners in the Exponential Family NeurIPS 2013 Model Recommendation with Virtual Probes for Egocentric Hand Detection ICCV 2013 Multiple Identifications in Multi-Armed Bandits ICML 2013 Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization ICML 2013 Online Learning with Costly Features and Labels NeurIPS 2013 Optimal rates for stochastic convex optimization under Tsybakov noise condition ICML 2013 PLAL: Cluster-based active learning COLT 2013 Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NeurIPS 2013 Selective sampling algorithms for cost-sensitive multiclass prediction ICML 2013 Sequential Bayesian Search ICML 2013 Sequential Transfer in Multi-armed Bandit with Finite Set of Models NeurIPS 2013 Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback CVPR 2013 Statistical Active Learning Algorithms NeurIPS 2013 Supervised Sequential Classification Under Budget Constraints AISTATS 2013 Top-k Selection based on Adaptive Sampling of Noisy Preferences ICML 2013