active learning

Towards robust episodic meta-learning UAI 2021 Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms AISTATS 2021 Transferable Query Selection for Active Domain Adaptation CVPR 2021 Uncertainty-aware Active Learning for Optimal Bayesian Classifier ICLR 2021 VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021 Active Adversarial Domain Adaptation WACV 2020 Active Community Detection with Maximal Expected Model Change AISTATS 2020 Active Imitation Learning with Noisy Guidance ACL 2020 Active Invariant Causal Prediction: Experiment Selection through Stability NeurIPS 2020 Active Learning Approaches to Enhancing Neural Machine Translation EMNLP 2020 Active Learning for BERT: An Empirical Study EMNLP 2020 Active Learning for Coreference Resolution using Discrete Annotation ACL 2020 Active Learning for Identification of Linear Dynamical Systems COLT 2020 Active Learning for Imbalanced Datasets WACV 2020 Active Learning in the Geometric Block Model AAAI 2020 Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation ICML 2020 Active Learning with Query Generation for Cost-Effective Text Classification AAAI 2020 Active Local Learning COLT 2020 Actively Learning Gaussian Process Dynamics L4DC 2020 ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture CVPR 2020 Active Ordinal Querying for Tuplewise Similarity Learning AAAI 2020 Active Preference-Based Gaussian Process Regression for Reward Learning RSS 2020 Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space EMNLP 2020 ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data AAAI 2020 Adaptive Region-Based Active Learning ICML 2020