Active Learning

ActiveHedge: Hedge meets Active Learning ICML 2022 Active Hierarchical Exploration with Stable Subgoal Representation Learning ICLR 2022 Active Labeling: Streaming Stochastic Gradients NeurIPS 2022 Active Learning by Feature Mixing CVPR 2022 Active Learning for Abstractive Text Summarization EMNLP 2022 Active Learning for Domain Adaptation: An Energy-Based Approach AAAI 2022 Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images WACV 2022 Active Learning for Multiple Target Models NeurIPS 2022 Active Learning for Nonlinear System Identification with Guarantees JMLR 2022 Active Learning for Open-Set Annotation CVPR 2022 Active Learning Helps Pretrained Models Learn the Intended Task NeurIPS 2022 Active Learning of Classifiers with Label and Seed Queries NeurIPS 2022 Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets ICML 2022 Active Learning on Pre-trained Language Model with Task-Independent Triplet Loss AAAI 2022 Active Learning Polynomial Threshold Functions NeurIPS 2022 Active Learning Through a Covering Lens NeurIPS 2022 Active learning with label comparisons UAI 2022 Active Learning with Neural Networks: Insights from Nonparametric Statistics NeurIPS 2022 Active Learning with Safety Constraints NeurIPS 2022 Active Multi-Task Representation Learning ICML 2022 Active Nearest Neighbor Regression Through Delaunay Refinement ICML 2022 Active Ranking without Strong Stochastic Transitivity NeurIPS 2022 Active Sampling for Min-Max Fairness ICML 2022 Active Sampling for Text Classification with Subinstance Level Queries AAAI 2022 Active Structure Learning of Bayesian Networks in an Observational Setting JMLR 2022