Active Learning

Active Ranking with Subset-wise Preferences AISTATS 2019 Active Regression via Linear-Sample Sparsification COLT 2019 Active Sampling for Open-Set Classification without Initial Annotation AAAI 2019 Adaptive Ensemble Active Learning for Drifting Data Stream Mining IJCAI 2019 Adaptive Influence Maximization with Myopic Feedback NeurIPS 2019 Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection AAAI 2019 A Learnable Safety Measure CoRL 2019 A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers EMNLP 2019 AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging ACL 2019 Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains ACL 2019 A New Perspective on Pool-Based Active Classification and False-Discovery Control NeurIPS 2019 An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search AAAI 2019 A PAC Framework for Aggregating Agents’ Judgments AAAI 2019 A Robust Zero-Sum Game Framework for Pool-based Active Learning AISTATS 2019 ASAC: Active Sensing using Actor-Critic models MLHC 2019 Asking Easy Questions: A User-Friendly Approach to Active Reward Learning CoRL 2019 A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection AAAI 2019 BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning ICLR 2019 BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NeurIPS 2019 Bayesian Batch Active Learning as Sparse Subset Approximation NeurIPS 2019 Bayesian Generative Active Deep Learning ICML 2019 Best Arm Identification for Contaminated Bandits JMLR 2019 Bidirectional Active Learning with Gold-Instance-Based Human Training IJCAI 2019 Biomedical Image Segmentation via Representative Annotation AAAI 2019 Bounding Uncertainty for Active Batch Selection AAAI 2019