Active Learning

PAC Battling Bandits in the Plackett-Luce Model ALT 2019 Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach AAAI 2019 Perturbed-History Exploration in Stochastic Linear Bandits UAI 2019 Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints NeurIPS 2019 Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities NAACL 2019 Practical Obstacles to Deploying Active Learning EMNLP 2019 Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction NAACL 2019 Preference Elicitation and Explanation in Iterative Planning IJCAI 2019 Rapid Performance Gain through Active Model Reuse IJCAI 2019 Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition CVPR 2019 Region-Based Active Learning AISTATS 2019 Reliable training and estimation of variance networks NeurIPS 2019 Same-Cluster Querying for Overlapping Clusters NeurIPS 2019 Sample Efficient Active Learning of Causal Trees NeurIPS 2019 Sampling Bias in Deep Active Classification: An Empirical Study EMNLP 2019 SANTLR: Speech Annotation Toolkit for Low Resource Languages Interspeech 2019 Self-Paced Active Learning: Query the Right Thing at the Right Time AAAI 2019 Self-Regulated Interactive Sequence-to-Sequence Learning ACL 2019 Self-Supervised Exploration via Disagreement ICML 2019 SMART: An Open Source Data Labeling Platform for Supervised Learning JMLR 2019 Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning AAAI 2019 TableSense: Spreadsheet Table Detection with Convolutional Neural Networks AAAI 2019 Teaching a black-box learner ICML 2019 Teaching Multiple Concepts to a Forgetful Learner NeurIPS 2019 The Label Complexity of Active Learning from Observational Data NeurIPS 2019