Active Learning

Active Learning with Oracle Epiphany NeurIPS 2016 Actively Learning Hemimetrics with Applications to Eliciting User Preferences ICML 2016 Active Nearest-Neighbor Learning in Metric Spaces NeurIPS 2016 Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint NeurIPS 2016 A General Framework for Constrained Bayesian Optimization using Information-based Search JMLR 2016 A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016 Anytime Exploration for Multi-armed Bandits using Confidence Information ICML 2016 Budgeted stream-based active learning via adaptive submodular maximization NeurIPS 2016 Clustering with Same-Cluster Queries NeurIPS 2016 Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms JMLR 2016 Conservative Bandits ICML 2016 Contextual Combinatorial Cascading Bandits ICML 2016 Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm ICML 2016 Detecting Repeating Objects Using Patch Correlation Analysis CVPR 2016 e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem JMLR 2016 Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning With Humans in the Loop CVPR 2016 Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing NeurIPS 2016 Improved Learning Complexity in Combinatorial Pure Exploration Bandits AISTATS 2016 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition NeurIPS 2016 Incrementally Learning a Dependency Parser to Support Language Documentation in Field Linguistics COLING 2016 Interactive Algorithms: from Pool to Stream COLT 2016 JCLAL: A Java Framework for Active Learning JMLR 2016 Large Scale Hard Sample Mining With Monte Carlo Tree Search CVPR 2016 Lightly Supervised Quality Estimation COLING 2016 Minimizing Annotation Effort for Adaptation of Speech-Activity Detection Systems Interspeech 2016