Active Learning

Active Bayesian Assessment of Black-Box Classifiers AAAI 2021 Active clustering for labeling training data NeurIPS 2021 Active Contrastive Learning of Audio-Visual Video Representations ICLR 2021 Active Covering ICML 2021 Active Curriculum Learning ACL 2021 Active Deep Probabilistic Subsampling ICML 2021 Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings ICCV 2021 ActiveEA: Active Learning for Neural Entity Alignment EMNLP 2021 Active Feature Acquisition with Generative Surrogate Models ICML 2021 Active Feature Selection for the Mutual Information Criterion AAAI 2021 Active learning and negative evidence for language identification NAACL 2021 Active Learning by Acquiring Contrastive Examples EMNLP 2021 Active Learning for Argument Strength Estimation EMNLP 2021 Active Learning for Bayesian 3D Hand Pose Estimation WACV 2021 Active Learning for Deep Object Detection via Probabilistic Modeling ICCV 2021 Active Learning for Distributionally Robust Level-Set Estimation ICML 2021 Active Learning for Lane Detection: A Knowledge Distillation Approach ICCV 2021 Active Learning for Rumor Identification on Social Media EMNLP 2021 Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates EACL 2021 Active Learning of Abstract Plan Feasibility RSS 2021 Active Learning of Continuous-time Bayesian Networks through Interventions ICML 2021 Active Learning of Convex Halfspaces on Graphs NeurIPS 2021 Active Learning under Label Shift AISTATS 2021 Active Learning with Maximum Margin Sparse Gaussian Processes AISTATS 2021 Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies IJCAI 2021