Active Learning

Discovering Interpretable Representations for Both Deep Generative and Discriminative Models ICML 2018 Distributed Multi-Player Bandits - a Game of Thrones Approach NeurIPS 2018 Efficient active learning of sparse halfspaces COLT 2018 Efficient Diverse Ensemble for Discriminative Co-Tracking CVPR 2018 Efficiently Sampling from Underlying Models RSS 2018 Efficient nonmyopic batch active search NeurIPS 2018 Efficient Online Scalar Annotation with Bounded Support ACL 2018 Experimental Design under the Bradley-Terry Model IJCAI 2018 Exploiting Structure in Representation of Named Entities using Active Learning COLING 2018 Exploiting Transitivity for Learning Person Re-Identification Models on a Budget CVPR 2018 Extracting Commonsense Properties from Embeddings with Limited Human Guidance ACL 2018 Feasible Arm Identification ICML 2018 FrameIt: Ontology Discovery for Noisy User-Generated Text EMNLP 2018 Guide Me: Interacting With Deep Networks CVPR 2018 Hierarchical Active Learning with Group Proportion Feedback IJCAI 2018 Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NeurIPS 2018 Importance Sampling for Minibatches JMLR 2018 Interactive Algorithms: Pool, Stream and Precognitive Stream JMLR 2018 Interactive Optimal Teaching with Unknown Learners IJCAI 2018 Interactive Structure Learning with Structural Query-by-Committee NeurIPS 2018 Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding NeurIPS 2018 Lean Multiclass Crowdsourcing CVPR 2018 Learning a Policy for Opportunistic Active Learning EMNLP 2018 Learning by Asking Questions CVPR 2018 Learning from Chunk-based Feedback in Neural Machine Translation ACL 2018