active learning

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation CVPR 2022 Towards Robust and Reproducible Active Learning Using Neural Networks CVPR 2022 TrustAL: Trustworthy Active Learning Using Knowledge Distillation AAAI 2022 Using Active Queries to Infer Symmetric Node Functions of Graph Dynamical Systems JMLR 2022 Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing AAAI 2021 A Clustering-based framework for Classifying Data Streams IJCAI 2021 A Comparative Survey: Benchmarking for Pool-based Active Learning IJCAI 2021 Active2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation NAACL 2021 Active 3D Shape Reconstruction from Vision and Touch NeurIPS 2021 ActiveAnno: General-Purpose Document-Level Annotation Tool with Active Learning Integration NAACL 2021 Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations NeurIPS 2021 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 ActiveEA: Active Learning for Neural Entity Alignment EMNLP 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