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Active Learning

1885 directly classified papers

Papers per year

Papers

Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process AISTATS 2014
Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014
Active Sampling for Subjective Image Quality Assessment CVPR 2014
Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014
Active Learning and Best-Response Dynamics NIPS 2014
Discovering, Learning and Exploiting Relevance NIPS 2014
Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation CVPR 2014
Active Area Search via Bayesian Quadrature AISTATS 2014
Near Optimal Bayesian Active Learning for Decision Making AISTATS 2014
Similarity Comparisons for Interactive Fine-Grained Categorization CVPR 2014
Programming by Feedback ICML 2014
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NIPS 2014
Contextual Bandits with Similarity Information JMLR 2014
Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem COLT 2014
Active Learning Using Smooth Relative Regret Approximations with Applications JMLR 2014
Asymptotic Accuracy of Distribution-Based Estimation of Latent Variables JMLR 2014
On Multilabel Classification and Ranking with Bandit Feedback JMLR 2014
Online Passive Aggressive Active Learning and Its Applications ACML 2014
Active Imitation Learning: Formal and Practical Reductions to I.I.D. Learning JMLR 2014
Learning Multiple Tasks in Parallel with a Shared Annotator NIPS 2014
Active Annotation Translation CVPR 2014
Beyond Disagreement-Based Agnostic Active Learning NIPS 2014
An LP for Sequential Learning Under Budgets AISTATS 2014
Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost ICML 2014
Active Learning of Parameterized Skills ICML 2014