Active Learning

Active Learning Approaches to Enhancing Neural Machine Translation EMNLP 2020 Active Local Learning COLT 2020 A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection AAAI 2020 ALICE: Active Learning with Contrastive Natural Language Explanations EMNLP 2020 Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot COLING 2020 Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles AAAI 2020 DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool COLING 2020 Finding the Homology of Decision Boundaries with Active Learning NeurIPS 2020 Iterative Data Programming for Expanding Text Classification Corpora AAAI 2020 LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation ACL 2020 Learning Structured Representations of Entity Names using Active Learning and Weak Supervision EMNLP 2020 Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes AAAI 2020 Textual Data Augmentation for Efficient Active Learning on Tiny Datasets EMNLP 2020 ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation CVPR 2020 Active Change-Point Detection ACML 2019 Active Learning with Partial Feedback ICLR 2019 Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning ICML 2019 Low-resource Deep Entity Resolution with Transfer and Active Learning ACL 2019 Sample Efficient Active Learning of Causal Trees NeurIPS 2019 Adversarial Active Learning for Sequences Labeling and Generation IJCAI 2018 Deep Active Learning for Named Entity Recognition ICLR 2018 Including Uncertainty when Learning from Human Corrections CoRL 2018 On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach IJCAI 2018 Visual Supervision in Bootstrapped Information Extraction EMNLP 2018 Active Exploration for Learning Symbolic Representations NeurIPS 2017