active learning

Learning Rare Category Classifiers on a Tight Labeling Budget ICCV 2021 Learning Reward Functions from Scale Feedback CoRL 2021 Learning with Labeling Induced Abstentions NeurIPS 2021 Locality Sensitive Teaching NeurIPS 2021 Local policy search with Bayesian optimization NeurIPS 2021 Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories ICCV 2021 Matching a Desired Causal State via Shift Interventions NeurIPS 2021 Mean-Variance Analysis in Bayesian Optimization under Uncertainty AISTATS 2021 Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering ACL 2021 Minimizing Annotation Effort via Max-Volume Spectral Sampling EMNLP 2021 MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization AAAI 2021 Multi-Anchor Active Domain Adaptation for Semantic Segmentation ICCV 2021 Multiple Instance Active Learning for Object Detection CVPR 2021 Nearest Neighbor Classifier Embedded Network for Active Learning AAAI 2021 Neural Active Learning with Performance Guarantees NeurIPS 2021 Nonmyopic Multifidelity Acitve Search ICML 2021 On Data Efficiency of Meta-learning AISTATS 2021 Online Active Learning with Surrogate Loss Functions NeurIPS 2021 Online Active Model Selection for Pre-trained Classifiers AISTATS 2021 Online A-Optimal Design and Active Linear Regression ICML 2021 On Margin-Based Cluster Recovery with Oracle Queries NeurIPS 2021 On Statistical Bias In Active Learning: How and When to Fix It ICLR 2021 On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise ICML 2021 On the Value of Interaction and Function Approximation in Imitation Learning NeurIPS 2021 Parallel Constraint Acquisition AAAI 2021