Active Learning

Teaching an Active Learner with Contrastive Examples NeurIPS 2021 Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm NeurIPS 2021 The Active Sensing Testbed AAAI 2021 The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation SemEval 2021 ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning CoRL 2021 Top-k Ranking Bayesian Optimization AAAI 2021 Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries AISTATS 2021 Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets CVPR 2021 Towards robust episodic meta-learning UAI 2021 Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms AISTATS 2021 Training a Single Bandit Arm AISTATS 2021 Transferable Query Selection for Active Domain Adaptation CVPR 2021 Uncertainty-aware Active Learning for Optimal Bayesian Classifier ICLR 2021 Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning IJCAI 2021 Unsupervised Active Learning via Subspace Learning AAAI 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