Active Learning

Learning from Weak Teachers AISTATS 2012 Minimizing Uncertainty in Pipelines NeurIPS 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Online allocation and homogeneous partitioning for piecewise constant mean-approximation NeurIPS 2012 Online Clustering with Experts AISTATS 2012 On Multilabel Classification and Ranking with Partial Feedback NeurIPS 2012 Plug-in Approach to Active Learning JMLR 2012 Protocols for Learning Classifiers on Distributed Data AISTATS 2012 Robust Interactive Learning COLT 2012 Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection AISTATS 2012 Searching for objects driven by context NeurIPS 2012 Selective Labeling via Error Bound Minimization NeurIPS 2012 Selective Sampling and Active Learning from Single and Multiple Teachers JMLR 2012 UPAL: Unbiased Pool Based Active Learning AISTATS 2012 Active Boosted Learning (ActBoost) AISTATS 2011 Active Classification based on Value of Classifier NeurIPS 2011 Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities AISTATS 2011 Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach AISTATS 2011 Active learning of neural response functions with Gaussian processes NeurIPS 2011 Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity NeurIPS 2011 Active Learning with a Drifting Distribution NeurIPS 2011 Active Ranking using Pairwise Comparisons NeurIPS 2011 Autonomous Learning of Action Models for Planning NeurIPS 2011 Bayesian Bias Mitigation for Crowdsourcing NeurIPS 2011 Budgeted Optimization with Concurrent Stochastic-Duration Experiments NeurIPS 2011